Like any other marketing channel, SMM requires an assessment of the effectiveness of actions. For this, KPIs are used, which allow you to get a complete picture of the project. Tracking indicators will allow you not only to determine the effectiveness of the team’s work in certain areas, but also to demonstrate the results to the customer.
Key SMM KPIs Worth Tracking
Analytics offers such a large number of metrics that choosing the most necessary ones can sometimes be difficult even for a specialist. Therefore, it is worth selecting the most important ones, focusing on the specifics of the project and its promotion. specific database by industry Below are the metrics that experienced SMM specialists recommend.
1. Number of subscribers
One of the most common metrics in the SMM sphere. This is a basic indicator, since the manager’s primary task is community growth. It depends on such factors as the quality of the offered content, geolocation, clear segmentation of the target audience, a well-formulated USP, etc.
The number of subscribers can be easily inflated, but the negative consequences of this will not take long to appear. If you have such suspicions, it is worth studying the profiles of subscribers. Information about them can be compared with information about your target audience and identify bots.
Different social networks allow you to track the ways in which subscribers come. For example, on Facebook you can count users who came organically without advertising, but through search, guest posts, recommendations, etc. If the audience is sault data large, this means that you offer useful content, and subscribers are interested in the brand.
2. Audience reach
This metric shows the number of users who are part of your real social audience and the number of users your posts can reach. Audience reach includes the following metrics:
audience growth – the number of users who subscribed and unsubscribed over a certain period of time (divide the number of new subscribers by the total number);
search position (the place occupied by the advertisement when a request is made);
mentions of the brand or company name during the reporting period;
number of subscribers ;
publication reach (the number of users who were shown the page);
possible impressions (the number of users who could have seen the publication);
audience percentage (who sees a brand’s publications compared to a competitor’s posts);
audience disposition (the ratio of positive and negative reviews to the total number of mentions);
number of views of the video , if one is published.
Simply put, this metric shows how many people have interacted with a page’s posts at least once. This could be total reach or reach for specific posts. And it’s worth noting that social networks always only count unique users.
If you have a website, it is important to track the number of transitions to it from social networks. This can be done in web analytics systems. The process will be easier if the links have UTP tags. This will help you understand the effectiveness of each post.
Experts do not recommend setting strict traffic requirements in the first months of work. It will take time to establish a trusting relationship with the audience – there will not be many people willing to follow unfamiliar links.
Over time, the larger the audience becomes, the more people should visit the site. It is important to understand why the number of clicks increases – due to audience growth or interest in products and services and a willingness to place an order. These indicators can also be tracked.
4. Conversions
The user’s execution of a call to action can be considered a conversion. The conversion rate is calculated based on how many users out of the total number performed the target action. To optimize this indicator, you will need to collect the following data.
Coming up with the perfect name for your online store on your own can be as difficult for an entrepreneur as it is for a Buddhist to learn Zen. But you can consider yourself enlightened if the name you choose for your online store is logically sound, hints at something tempting to the target audience (best prices, discounts, exclusive, wholesale, trust, status, other goodies), pleases the ear, is instantly memorable, and also distinguishes you from dozens of similar ones.15.
structure of the article
Typical mistakes made when choosing a name
How to Name an Online Store? 9 Tips to Make Your Life Easier
Ideas to consider: successful examples from different niches
But how to come up with it? After all, a consonant domain name will also be registered under the future name. Some will need weeks of brainstorming by a whole team of marketers to select the best options, and someone, inspired by an apple, will name their corporation AppleIn any case, choosing a name for an online store should not become a stumbling block on the path to business development. We will not offer a list of ready-made solutions for you in this article, but we will do something more – we will reveal to you the main subtleties and secrets of naming.
Typical mistakes made when choosing a name
When choosing a name for an online store, recent mobile phone number data website owners make many mistakes, among which the most common ones can easily be identified. Carefully read their list so as not to step on the rake, which has already fallen victim to dozens and hundreds of other people.
How to Name an Online Store? 9 Tips to Make Your Life Easier
Don’t be afraid to be creative in naming. When creating a list of possible options for the name of an online store, use combinations of words, alliterations, allusions, hints, analogies, abbreviations, hidden meanings, oxymorons, and onomatopoeia to the maximum extent.
Make the name multilingual . The ideal solution is to find a word that will have the same spelling in a variety of transcriptions.
Choose names that are adequate to the price category of the goods in your store . Pathos and outrageousness are justified only in the expensive elite niche. “Shoe Empire”, for example, is a very strange name for a one-page site with cheap Chinese sneakers.
Example of a name for an online store of electrical equipment
Make sure the name matches the product range . The user should be able to grasp the theme of the store from the first acquaintance with the name. But do not get tied to a specific product or even a niche, it is advisable to find a more or less universal name in case you decide to expand the business or re-profile.
Be unique . Take the time to monitor competitors in the region and, having analyzed their names, eliminate options that will allow customers to confuse you. Resist the urge to win on similarities with the market leader. Abibas will always be just a cheap fake.
Don’t stick to a limited region . sault data When creating an ambitious portal, it is logical to expect that it will exist and develop for many years and decades. Do you exclude the possibility of entering other regions or even the international arena? Therefore, avoid including the region in the name of the online store.
On March 21, the Tverskoy Court of Moscow recognized the Meta company as an extremist organization violating the rights of Russians and threatening the constitutional order of the country. Its activities were banned in Russia, and its digital products, including the largest social networks Facebook and Instagram, were blocked. Influencers and their million-strong audiences began to migrate to other platforms.
Let us also recall that Google had previously suspended advertising sales in Russia, and contextual advertising in the search engine, as well as media advertising on YouTube, were no longer available to Russians.
As a result of such a radical reduction in buy telemarketing data advertising inventory on the digital market and the redistribution of the audience, advertisers have suspended their activity in anticipation of the situation stabilizing and observing what is happening.
What we did during these two weeks, and now we want to share with you our observations about the situation around the blocking of foreign social platforms, talk about the prospects of “domestic analogues” and suggest not to panic, but to remember the classic methods of promotion on the network, which did not lose their relevance even in the era of Instagram, and today have become even more popular.
So what’s going on?
Let’s start with Facebook, which has probably suffered the greatest audience losses. According to various estimates, the platform has lost about half how to name an online store? tips, examples, and common mistakes of its Russian users. Considerable toxicity, acquired as a result of the official permission to call for violence against Russian military personnel, together with traditionally not the most friendly usability, have added to the effect of technical blocking, and now Facebook, apparently, is finally falling out of Russian reality.
Instagram looks much more alive
So, we are really seeing a massive transition of the audience. It is curious that the coverage of stories and clips is not yet showing any noticeable growth. Probably, the behavior model of the new audience does not affect this.
Thus, VK is starting a new life and has great prospects. And yet, the main beneficiary, judging by the audience received, is Telegram. Statistics indicate that at least 14 million new users have come here. For Russia, this is a very large figure. At the same time, we must understand that migration here will continue. Telegram is still experimenting with advertising monetization and it is not yet entirely clear how a simple business can develop here. However, it is obvious that with a certain adaptation of the messenger, it can become the number 1 platform in our country. It turns out that Pavel Durov has a chance to “capture” Russia for the second time, sault datahis time from the outside. However, bravo.
What advertising channels to use today?
So, what should those who have lost a dense flow of leads do in the current situation? Obviously, resources need to be quickly redistributed, rather than sitting idle and waiting for everything to settle down.
It is worth remembering that the first contact with the client occurs in social networks: according to statistics, more than half of users use them to search for products. However, social networks have a number of disadvantages for small businesses. They can effectively convey the brand image, but are technically poorly suited for trade. Therefore, the question of whether the company has its own website is always relevant, where it is more convenient for the user to get acquainted with the range, prices, delivery conditions, format of service provision, etc. In addition, the site additionally works to increase trust. However, it is worth saying a few words about this separately.
Advantages of a website for business over social networks
The communication system today requires a broader view. Business should not limit itself to a social network account, especially in a period when the most effective ones, from a business point of view, have become unavailable for advertising activity.
In addition to a more convenient presentation of the range and description of services, the site allows you to customize processes in a way that is convenient for the company. For example:
Conclusion
The departure of major players in the advertising market from Russia, which has led to a reduction in large advertising “inventory” in the form of Instagram, Facebook and Google Ads, has led to a market decline of around 10-20% at the moment. For comparison, in 2014 it fell by 10% overall. Most likely, this phenomenon will be short-term. In the long term, opportunities are opening up for Russian technology companies, primarily Yandex and VK.
During the period of audience migration, communication with clients requires the broadest possible view. Although, in terms of traffic, there are not so many options left. We have VK, Yandex.Direct and Odnoklassniki. Telegram is unlikely to open targeting for everyone in the near future, and TenChat still has a small audience. SEO is becoming more relevant, especially in Google, where context is most likely temporarily, but disabled.
Subject : online store of building materials and rolled metal products Promotion region : Zaporozhye, Ukraine Client’s head office : Zaporozhye Service : SEO Individual Year of writing the case : 2017, 2018 Distribution method : wholesale (BTB) and retail (BTC) Task : reaching the TOP10 in priority areas in the region Term of achieving the result : 7 months.
Request
In August 2017, a potential client from Zaporozhye approached us with the task of bringing an online store of building materials and rolled metal products to the TOP10. We were immediately made to understand that resources were limited and it was necessary to achieve the goal with the maximum possible budget savings.
We, in turn, explained to the client the telemarketing data dependence of the budget on the time of obtaining significant results. The larger the budget, the faster (within reasonable limits) the set goals can be achieved. If the budget is limited, we expect to obtain good positions in 6-12 months. We agreed on our plan.
Active actions
Due to the clear focus, we initially focused all our efforts on internal optimization for regional queries. In our work, we took into account not only the name of the region, but also the cities in the region: Vasilyevka, Dneprorudnoye, Energodar, Melitopol, Primorsk, Orekhov, Tokmak, Pologi, Gulyaipole, Kuibyshevo, Volnyansk, Novonikolayevka, Pokrovskoe, Chernigovka, Tomakovka, Marganets, Slavgorod, Smirnovo, Bolshaya Belozerka, Kamyshevakha, Kamenka-Dneprovskaya.
The following work was carried out on the internal optimization of the site:
Setting up meta tags and site titles using masks.
We compiled a list of recommendations for improving the semantic optimization of the site and monitored the implementation of sault data tasks by the project developer.
We have compiled a semantic core for the region.
Wrote the content and posted it.
The semantics were slightly refined and expanded, and new content was written from month to month.
In the area of external optimization:
Developed a link building strategy.
Using crowd marketing and working with exchanges, we made more than 70 unique links and 400 referring pages for the client’s site. All of them are certainly eternal.
Fig. 1. Smooth dynamics of link mass growth.
Problems
Due to the lack of stability in the client’s 7 smm kpis to track on social media payments, we were unable to achieve our goals as quickly as possible. If we calculate the number of months from the first contact to the result described in the case, we needed as many as 11 months. Although the actual work lasted 7 months, which is equivalent to the number of payments.
Victories
As a result of our work, the project not only reached good positions in Zaporozhye and the region, but also achieved good results throughout Ukraine.
Fig. 2. Example of positions for the Zaporozhye region
Fig. 3. Example of positions for the region Ukraine
This was a pleasant bonus for our client. Let us recall that the budget was limited and aimed only at development in the region. The task of expanding the geography was planned to be discussed at the next stages.
During the work, all other indicators increased: visibility, number of words in the TOP 100.
Big data has been growing rapidly for a decade and shows no signs of slowing down. It is mostly internet-related, including social media, search queries, text messages, and media files. Another huge chunk of data is produced by Internet of Things (IoT) devices and sensors. These are the key drivers of the global data market growth, which has already reached $49 billion according to Statista. Everything in the world is now based on information, and this is pushing companies to seek out big data experts who can quickly collect data and apply complex processing . But will this continue, and what will the future of big data be? In this article, we present expert opinions and five predictions about the future of big data.
1. Big data will continue to grow in volume and migrate to the cloud
Most experts agree that the volume of data generated will grow exponentially in the future. IDC, in its Data Age 2025 report for Seagate, predicts that the global database will reach 175 zettabytes by 2025. For example, in 2013, 4.4 zettabytes of global data were produced.
What convinces experts of such rapid growth? Firstly, the growing number of Internet users who do everything online, users work on the Internet, conduct business correspondence, make purchases and use social networks.
Second, billions of connected devices and embedded systems that create and collect data every day around the world.
When companies gain the ability to store and analyze
massive amounts of data, they will be able to create and manage 60% of the world’s big data in the near future. However, internet users also play an important role. The same IDC report notes that 6 billion users, or 75% of the world’s population, will interact with online data every day by 2025. In other words, every connected user will interact with data every 18 seconds.
Such large data sets are difficult to manage in terms of storage and processing. Until recently, complex big data tasks were solved using open source ecosystems such as Hadoop and NoSQL. However, open source technologies require manual configuration and troubleshooting, which in turn can be difficult for most companies. Cloud storage has become the solution — companies have started migrating data to the cloud to be more flexible.
AWS, Microsoft Azure, and Google
Cloud Platform have transformed the way big data is stored and processed. Previously, when companies wanted to run data-intensive applications, they had to physically grow their own data centers. Now, with a pay-as-you-go model, cloud services provide flexibility, scalability, and ease of use.
This trend will continue in the 2020s, but with some adjustments:
Hybrid environment : Many companies cannot store sensitive information in the cloud, so they store a certain amount of data on local servers, and move the rest of the data to the public cloud.
Multi-cloud environment. Some companies prefer cloud infrastructure to cover special needs of their business, which allows to unite into a single integrated space the infrastructure deployed in-house and several public clouds.
In this article, we will look at the data preparation steps – data profiling, data source exploration, data cleaning, data transformation.
Creating and consuming data is becoming a way of life. According to a report by IBM, the world produced approximately 2.5 quintillion bytes of data per day in 2017. Most of this data is stored on the internet, making it the largest database on earth. Google, Amazon, Microsoft, and Facebook together store 1,200 petabytes of data (1.2 million terabytes).
But on the other hand, using data comes with risks. The MIT Sloan Management review reports that financial losses due to incorrect and poor-quality data amount to 15% to 25% of a company’s revenue. And according to a 2018 IDC Business Analytical Solutions survey, data scientists spend 73% of their time preparing data for activities such as analytics and forecasting.
To avoid losing time, market share, and potential customers, companies are looking to use data analytics to grow their bottom line and need to have a good understanding of the concepts of data cleaning and transformation.
Often, web scraping produces large recent mobile phone number data amounts of dirty and unorganized data. Web data integration (WDI) focuses on data quality and control. WDI has built-in Excel-like transformation functions that allow you to normalize data right in your web application. It enables you to extract, prepare, and integrate data in the same environment. This way, you can use your data with a high level of trust and confidence.
What to do before cleaning and transforming data?
Often, analysts want to move on to data cleansing without completing some important tasks. The steps listed below help prepare raw data for transformation, which in turn helps the analyst identify all data elements (but only those elements that he will work with later):
1. Defining business objectives
Knowing your business goals is the first step to properly transforming your data. Well-defined business objectives ensure alignment with corporate strategy, describe customer problems that need to be solved, include new or updated business processes, anticipated costs, and projected return on investment. All of these parameters help determine what data is needed and what is not needed for analysis.
2. Research the data source
A well-developed data model describes possible data sources, such as websites and web pages, to populate the model. Specifically, careful consideration of data sources includes:
Defining the data needed for business tasks
Defining what exactly your colleagues expect to see when collecting web data
Cataloguing possible data sources and data managers
Understanding the delivery mechanism and frequency of data updates from the source
The value of web data can also increase over time, and it can then be used to analyze time series and trends in the data. This improves your decision-making process and gives you a deeper understanding of how important events, such as celebrity endorsements and testimonials or sales, impact your business.
3. Data profiling
This step is an actual familiarization with the data before it is transformed. Profiling identifies data structure, null records, unwanted data, and potential quality issues. A thorough review of the data can help determine whether a particular source is suitable for further transformation, potential data quality issues, and the number of transformations required for analytics.
The process of defining business objectives, researching the data source, and searching and profiling sources performs an important function of filtering data sources. All these steps will help organize the processing work, and subsequently make this data suitable for use. The next step is data cleaning.
Data Clearing
Only after assessing and profiling the sources can we start cleaning the data. In general, all applications for cleaning, transforming, profiling, discovering data should be considered from the point of view of the data that is collected on the Internet. Each website should be considered as a data source, and we use the terminology from this point of view, we do not consider the traditional ETL (Extract, Transform, Load) approach, managing enterprise data from traditional sources.
General data cleansing guidelines may include (but are not limited to) the following steps:
Pre-cleaning of data ensures accuracy and consistency of data for subsequent processes and analytics, which in turn will increase customer confidence in the data. Idatica assists with data cleaning upon customer request, preparing extracted data by examining, assessing and refining data quality. We also perform data cleaning, normalization and enrichment of data using over 100 spreadsheet functions and formulas.
Data Transformation / Data Manipulation
Data transformation / Data manipulation (from English “data wrangling”, “data munging”) is the practice of transforming raw data into a regular model for a specific business task for subsequent work on them.
This process includes two key components of the web data integration process – data extraction and data preparation. Extraction includes CSS rendering, JavaScript processing, network traffic interpretation, etc. Preparation, in turn, harmonizes the data and ensures quality.
Below are some good practices for data transformation:
The large amount, type, and speed of data available today is a huge opportunity for businesses to improve their revenue, market share, competitive position, and customer relationships. However, a lack of attention to data cleansing or quality can result in bad data, bad decisions, and loss of trust. Thus, the value of traditional web scraping in this regard remains somewhat on the sidelines.
Data scraping can seem like a complex and confusing task. Finding the right data source, parsing the sources correctly, handling javascript, and getting the data in a usable form is only part of the job of data scraping. Different users have very different needs, and there are scraping programs and tools for all of them: people who want to scrape without programming knowledge, developers who want to make scrapers for processing sites with large amounts of data, and many more. Below is a list of the 12 best scraping programs on the market, from open source projects to hosted SAAS solutions and desktop software, and everyone will find something to suit their needs.
List of tools and programs for parsing:
1. Scraper API
scraperapi.com
Scraper API, scraping program, scraping tool
Who is it for: Scraper API is a tool for programmers to create scrapers, it handles proxies, browsers and CAPTCHAs so developers can get raw HTML from any website with a simple API call.
Features: You don’t have to manage your own proxy servers, as this tool has its own internal pool of over a hundred thousand proxies from dozens of different proxy providers and also has built-in intelligent routing logic that routes requests through different subnets and automatically adjusts requests in order to avoid IP blocking and CAPTCHA. This web scraping tool with special proxy pools is used for competitor price monitoring, search engine scraping, social media scraping, ticket scraping and much more.
2. iDatica
idatica.com
Idatica, web scraping program, web scraping tool
For whom: iDatica is a great service for people who need custom parsing. You just need to fill out a form with the order details, and in a few days you will receive a ready-made parser developed for your tasks.
Features: iDatica creates and supports custom parsers for clients. Send a request via the form, describe what information you need, from which sites, and we will develop a custom parser that will periodically send you the parsing results (maybe daily, weekly, monthly, etc.) in CSV/EXCEL format. The service is suitable for companies that need a parser without having to write any code on their side and without hiring developers on staff. It is suitable for people who want the entire parsing process to be built for them quickly and efficiently. In addition, Russian-language support will help with task formulation, drawing up technical specifications, data cleaning and subsequent visualization in Bi analytics.
3. Octoparse
octoparse.com
Octoparse, parsing program, parsing tool
Who is it for: Octoparse is a tool for people who want to scrape websites themselves, without having to program anything. Using this scraping program, you retain control over the entire scraping process with an easy-to-use interface.
Features: Octoparse is a tool for people who want to scrape websites without learning how to code. It is a visual data processing tool where the user buy telemarketing data selects the content on the site to be captured and the program collects this data automatically. It also includes a website scraper and a comprehensive solution for those who want to run scrapers in the cloud. The main advantage of this scraping program is that there is a free version that allows users to create up to 10 scrapers. For corporate clients, they also offer fully configured scrapers and managed solutions where they take care of everything and provide the finished scraping result.
4. ParseHub
parsehub.com
ParseHub, parsing program, parsing tool
Who is it for: Parsehub is a powerful program for creating parsers without technical skills. It is used by analysts, journalists, data scientists.
Features: Parsehub is easy to use, you can parse data by simply clicking on the data you need to grab. It then exports the data in JSON or Excel format. It has many convenient features such as automatic IP rotation, allowing you to view pages that are accessible to logged in users, view drop-down lists and tabs, and get data from tables. In addition, this tool has a free version that allows users to process up to 200 pages of data in just 40 minutes. Another plus is that Parserhub has desktop clients for Windows, Mac OS, and Linux.
5. Scrapy
scrapy.org
Scrapy, an open source framework
Who it’s for: Scrapy is a web library for Python developers who want to build scalable web scrapers. It’s a full-featured web scraping platform that handles request queues, intermediate proxies, and basically anything that might make scraping more difficult.
Features: As an open-source tool, Scrapy is completely free. It is tested by a large number of users and has been one of the most popular Python libraries for many years and is probably the best Python tool for data scraping. It has detailed documentation and many tutorials on how to get started with this library. In addition, the process of deploying the scraper is very simple, the scraper can be run immediately after installation. There are also many additional modules available, for example for handling cookies and user agents.
6. Diffbot
diffbot.com
Diffbot, a service for parsing websites
Who it’s for: Companies that have specific requirements for data parsing and viewing, especially those who parse sites that frequently change their HTML structure.
Features: Diffbot is different from most data scraping programs in that it uses computer vision to identify relevant information on a page. This means that even if the HTML structure of a page changes, your scrapers won’t break as long as the page looks the same visually. This tool is suitable for long-term scraping projects. Although this tool is quite expensive, the cheapest plan is $299 per month. They offer premium services that can be useful for larger companies.
7. Cheerio
cheerio.js.org
Cheerio, an open source framework
Who is it for: Suitable for NodeJS programmers who are looking for an easy way to parse data. Those familiar with jQuery will definitely appreciate the best JavaScript syntax available for parsing.
Features: Cheerio offers an API similar to jQuery, so developers familiar with jQuery will easily understand how to use Cheerio. Cheerio is fast and offers many useful methods for parsing. It is currently the most popular HTML parsing library written in NodeJS. And it is probably the best NodeJS parser tool at the moment.
8. BeautifulSoup
crummy.com/software/BeautifulSoup/
BeautifulSoup, an open source framework
Who is it for: Python programmers who want a simple interface for scraping and don’t necessarily need the power and complexity that Scrapy has.
Features: Like Cheerio for NodeJS developers, Beautiful Soup is by far the most popular web scraper for Python developers. It has been around for over a decade and has very detailed documentation, and there are plenty of tutorials online that teach you how to scrape websites using Python 2 and Python 3. If you’re looking for a Python web scraping library, this is it.
9. Puppeteer
github.com/GoogleChrome/puppeteer
Puppeteer, an open source framework
Who is it for: Puppeteer is a headless Chrome API for NodeJS programmers who want fine-grained control over their work when doing web scraping.
Features: As an open-source tool, Puppeteer is free to use. It is actively developed and maintained by the Google Chrome team itself.
Scraping is the process of getting data from a website. This can be done by copying and pasting manually or using software. Nowadays, scraping has become synonymous with automated data collection.
Other definitions may also be encountered: scraping is used as a general term for the entire process of visiting pages or web crawling, obtaining data, and cleaning and transforming data, or in other words, processing and enriching data.
specify what exactly needs to be parsed from the sites – reviews, price, description, name, etc., it would be best if you take a screenshot of the site and highlight in color what needs to be parsed, an example is below:
Specify parameters that limit data collection – category, brands or products;
in what format do you need the data – CSV/EXCEL;
indicate the frequency of collection – once a day, once a week, once a month;
Please provide your phone number and email so that our managers can contact you and ask clarifying questions about the task.
What happens after I fill out the feedback form?
After you have described your scraping project, one of our managers will carefully study your request, as well as the site from which you need to collect information, to determine whether its terms of use, robots.txt and other factors allow you to scrape the necessary data from the sites you need.
Our team will contact you shortly. You will immediately know whether your scraping project is technically and legally feasible. The consultation is free, without any hidden costs.
How much do your web scraping services cost?
Since we offer a custom solution for each client, the price will vary depending on several factors, such as the complexity of the task and the scale of the project. For example, if you need to collect data from three sources with 5,000 web pages each, the price will be higher than if you need to scrape contact information from one page.
Contact us, describe your scraping task, and we will send you a price for a custom solution shortly.
How long will it take to parse the required data?
It may take 1 day or more to collect data from a website, depending on the complexity and scale of your project. We agree on the deadlines and order of execution for each project individually and set different deadlines for each client.
Depending on the volume of your project, the deadlines may be longer. It is important to remember one thing – if you rush a large-scale scraping project, you may be blocked by the source site, which in turn will prolong the project, since a new scraping solution will need to be implemented.
What payment methods do you accept?
We accept non-cash payments via bank transfer.
In what format do you output the finished parsing result?
We issue the final parsing data in a tabular format – EXCEL or CSV. We can transfer data in several ways:
Connect a network drive and work with files in a familiar interface;
Access to the cloud, from where you can download files yourself;
Loading directly into the BI system for analytics and visualization.
Is it legal to scrape websites?
We previously wrote an article about this on our blog. The short answer is yes, scraping publicly available information from websites is legal.
Can you parse non-Russian language sites?
Yes, we certainly can. For partners, we parsed websites in English, German, French and other languages.
Do you provide additional services besides parsing?
Yes, our company works with data in many aspects. In addition to parsing, we provide data cleaning and visualization services.
Do I need to do anything else besides describing my scraping project?
No, you don’t. Our business model is data as a service. You don’t need to register on the platform or spend time creating, programming or configuring tools for data parsing.
If you choose to parse with our company, you don’t pay for software, servers or proxies, you pay for a team of developers who will ensure that you get the data you need on time.
What are the best web scraping tools?
The feasibility and use of any web scraping tool depends on the type of website and its complexity. Web scraping tools generally fall into the categories of tools that you install on your computer or in your computer’s browser (Chrome or Firefox). Web scraping tools (free or paid) and web scraping apps can be a good choice if your data requirements are low and the source websites are not complex.
If you need to extract large amounts of data from a large number of sites or the sites have a good level of protection against parsing, it is best to contact companies that will write a custom parser for your tasks. You can leave a request for parsing at the link.
No, but scraping is an integral part of data mining.
Data mining is the process of finding telemarketing data patterns in large data sets, which is usually done using various machine learning solutions. This is where scraping comes in. Scraping is one of the most effective ways to collect a large amount of data, and after scraping and processing the data, you will have a data set ready for further analysis.
What is a robots.txt file?
robots.txt is a text file that is used by websites to tell crawlers, bots, or spiders whether to crawl the site, as per the site owner’s instructions. Many sites may not allow crawling or may limit the data that can be extracted from them. It is very important to analyze the robots.txt file to avoid getting banned or blacklisted when scraping.
What is the difference between web scraping and web crawling?
Parsing and crawling are related concepts. Parsing, as we have already mentioned, is the process of automatically requesting a web document or page and extracting data from it. On the other hand, web crawling is scanning, the process of finding information on the web, indexing all the words in the document, adding them to a database, and then following all the hyperlinks and indexes, and then adding this information to the database. Therefore, web scraping requires certain crawling skills.
What is a search robot and how does it work?
A web crawler, also called a spider, crawler, or spiderbot, is a program that downloads and indexes content from all over the internet. The purpose of this robot is to understand what the page is about so that it can retrieve it when needed. A web crawler is controlled by search engines. By applying search algorithms to the information collected by the robots, search engines can show users relevant links to their search query.
A search robot goes through pages on the Internet and enters them into the search engine database. It analyzes pages on the Internet, then saves them in a certain form on servers, and follows links to other pages.
How to extract data from dynamic web pages?
Data from dynamic websites can be extracted by setting up crawling of the site at a certain frequency to look for updated data. Dynamic websites update data frequently, so bots must be fast enough to not miss any updated data.
How to avoid blocking when parsing a site?
A website can block a scraper if it scrapes too much. To avoid this, you need to configure the scraper to act like a human, not a robot. Adding a delay between requests and using proxy servers can also help.
We have shared with you the most frequently asked questions about website scraping. If you have any additional questions or you have a task related to scraping that you want to solve, contact us via the feedback form, write to telegram or call by phone .
Have you recently start out in the world of UX design? Then you must learn about and use the following tools recommend by all UX designers, both for designing and prototyping a website or mobile app, as well as for usability research and testing:
Adobe XD :
This is a design and prototyping tool that allows you to specific database by industry create interactive user experiences and visualize them in real time. It’s really useful and us by a wide range of designers.
Sketch :
This is a vector design software that focuses on creating user interfaces for apps and websites. It’s easy to use, so it’s recommend for those just starting out in the user experience.
Figma :
It’s a collaborative design platform. It’s highly intuitive and cloud-bas, allowing teams to create, test, and share designs simultaneously, much like Google Drive documents.
InVision : In this case, we are referring to a prototyping and collaboration tool that facilitates the creation of interactive prototypes and user feback.
UserTesting : This platform allows you to conduct user research, providing access to real participants for usability testing and product evaluations. It’s especially useful for identifying flaws and/or shortcomings in websites or their adaptability to various devices.
Optimal Workshop : This app offers a variety of tools for user research, including breadcrumb testing, heat maps, and usability testing. It’s useful and very taiwan lead intuitive, and is also recommend for those new to the design world.
Hotjar : This is one of the best user behavior The importance of user experience design analysis tools. If you learn how to use it, you’ll be able to access heat maps, session recordings, and website surveys. This way, you’ll be able to better understand user behavior.
Creating a successful user experience is not an easy or straightforward process, as it involves several key steps:
User research :
First, you ne to understand your users’ nes, behaviors, recent mobile phone number data and preferences through interviews, surveys, and data analysis. Don’t worry! You can do this with many of the tools we’ll share with you later.
Creating personas :
Once you have the information, we recommend creating a detail user profile that represents your target audience—the one you’re aiming for.
Prototype design :
Create interactive prototypes of your digital product using tools like Sketch, Figma, or Adobe XD. You’ll be able to test designs and invest your resources into a full development.
Usability testing : Testing to ensure the site is easy for users to use is essential for refining and finding bugs.
UX tip 3 from MD: Pay close attention! It’s quite common taiwan lead for users to make mistakes and enter incorrect data in the wrong places. It’s essential that the interface is design to help users avoid errors and, if they do, resolve them.
Paulo Arno, IT Developer at MD Digital Marketing
Have you been paying attention? If you follow Key components of user experience design and perfect these steps, you’ll be able to create an effective user experience for all types of products.
User experience (UX) design comprises several essential elements that combine to create a comprehensive and satisfying user experience. These components include:
Interaction design
This aspect focuses on the way users interact with a buy telemarketing datadigital product, creating intuitive and functional interfaces that guide users through actions and tasks. It includes the design of clear buttons and controls, a logical user flow, visual and auditory feback, and meaningful microinteractions.
Simply put, the user should feel at home. As if the site was made by and for them. Since a certain familiarity with the users must be achiev.
Information architecture
Information architecture refers to the organization taiwan lead and structure of content within a digital product, establishing a clear and coherent hierarchy and grouping relat content into logical categories. This begins with creating site maps that show the overall structure of the product.
User research in UX design
Last but not least, you ne to address user research . Steps to create a successful user experience The goal is to understand user nes, behaviors, and preferences through interviews, surveys, data analysis, and usability testing . This process, which is quite long and tious, will provide you with invaluable information to inform product design and continuous improvement.
User experience (UX) design is a fundamental element of any digital marketing project , whether it’s a website, a mobile app, or any other interactive product. Its importance lies in several crucial aspects:
User satisfaction :
Good UX design focuses on the user’s nes, telemarketing data expectations, and emotions, leading to a more satisfying experience. For example, let’s say you’ve develop a shopping app with intuitive navigation and a seamless checkout process. This will undoubtly increase user satisfaction and foster brand loyalty.
User retention :
Good UX design can help retain users, as a positive experience encourages them to return and use the product regularly. Another example might be a social mia app, which offers a seamless and personaliz browsing experience, which will promote long-term user retention.
Increas conversions :
A design focus on user experience influences conversions, registrations, purchases, or subscriptions. A common success story for this is the one many companies use when creating a simplifi registration form on a website, which increases the conversion rate of potential users to register customers.
Competitive differentiation : In an taiwan lead already saturat digital market, UX design can be a key differentiator. A product with an exceptional user experience will stand out from the competition and attract more users. A tool that stands out from the competition must be prictable in its operation and results.
UX tip 2 from MD : Less is more! At least in Essential tools for UX designers this case, it’s often better to have a simple and intuitive user interface, which also makes the developer’s job easier.