AUTOMATED DATA PARSING
Analysing the dynamics of changes
Market research
AUTOMATION OF ROUTINE TASKS
Fast data collection
С помощью технологии RPA (Robotic Process Automation) компании автоматизируют выполнение рутинных повторяющихся задач. Это может быть перенос данных из одной системы в другую, выставление счетов, извлечение текста из документов и многое другое.
SPEED
You get data very quickly. The robot does not get tired of performing the same operations
You can set dozens of parameters for sampling
There will be no errors in the report. The work is done by a robot, and the human factor is excluded
The robot can replace several employees and free up their time to solve more challenging tasks
Not only do many parsers collect data, but they also advise how to fix errors on the site
INFORMATION VALUE
ACCURACY
SAVING ON STAFF
BENEFIT
WHAT IS DATA PARSING, AND WHAT ARE ITS ADVANTAGES
Data parsing is automated data collection from various sources. We mean by this the collection of information from resources on the Internet, such as job search sites, marketplaces, tender sites, and others.
it usually takes a lot of time. Considering such operations must be performed regularly, employees waste a lot of time on such a routine.
YOU CAN COLLECT DATA MANUALLY, BUT ...
IT IS MUCH FASTER DUE TO PARSING
When specially created robots are used for this purpose, you can collect all the information (sometimes, it's thousands or millions of positions) in the background.
CANDIDATE SEARCH DURING RECRUITMENT
Information can be collected on job sites and in social networks and messengers
DATA PARSING APPLICATION
You can collect competitors' prices, product characteristics, and other essential information on Amazon and other websites
DATA COLLECTION FROM MARKETPLACES
SEARCH FOR CURRENT LOTS ON TENDER SITES
When it is necessary to review many lots and analyze their contents
HOW ELSE CAN DATA PARSING
HOW ELSE CAN DATA PARSING MAKE YOUR BUSINESS MORE EFFICIENT?
MAKE YOUR BUSINESS MORE EFFICIENT?
MARKET RESEARCH
Parsing allows you to quickly assess competitors' products and prices to make an informed decision based on these data
ANALYSIS OF THE DYNAMIC MARKET CHANGES
FILLING OUT THE ONLINE STORE CATALOG
Data parsing can be done on a regular basis to assess how crucial indicators have changed over time (the growth or fall of prices, the change in the number of online ads or forum posts, and so on). The data analysis in dynamics allows you to increase the efficiency of the business
Compilation of a product catalog in a large store takes much time. Making a description for all products is a routine task. It is possible to parse foreign stores and translate product information to simplify the process
DEFECTS ELIMINATION ON YOUR website
Using parsing, you can quickly identify errors in meta tags. Detect broken links, problems with redirects, and duplicate elements on your website. Eliminating these errors will help raise your resource higher in the search results
CUSTOMER BASE COMPILATION
COLLECTING FEEDBACK AND COMMENTS
In this case, contact details are parsed, for example, users of social networks, forum participants, etc. However, it is worth remembering that the collection of non-publicly available information is illegal
A quick collection and analysis of reviews and comments about your or any other product will help you assess demand and make a purchase decision
TO ORDER PARSING, YOU NEED TO IDENTIFY THREE KEY POINTS
Decide on the data set you have to collect, its characteristics, features, and format
01
02
03
Determine the list of sites and resources from which you can get this information. Besides, consider the search algorithm for this information
Decide how often it is necessary to run parsing
TO SET THE TASK, WE ASK YOU TO ANSWER 3 QUESTIONS
YOU GET A PARSING MODULE READY FOR FURTHER USE
Depending on the site, we will choose the optimal parsing method whether it is open or closed API, using various Python libraries, such as Selenium, Scrapy, and BS. Our specialists are perfectly familiar with the nuances of algorithms for monitoring different sites and are ready to provide a reliable solution for collecting any data.
TODAY WE CAN INFLUENCE BUSINESS PROCESSES THANKS TO TECHNOLOGY. DATA PARSING IS AN EXCELLENT TOOL FOR FAST AND EFFICIENT WORK
By clicking the «Submit» button, you agree with the policy of personal data processing
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OUR CASES
Implementation period
2 WEEKS
AUTOMATED RESUME PARSING
Quickly find candidates for vacancies from various sources
Searching for candidates on various resources (job sites, social networks, Telegram) took much time, and the task was to create a tool that would do this automatically and in the "one window" mode
01 Software has been developed for parsing Job Sites
02 On recruiting sites, the search is carried out by the vacancy title, city, experience, date of last visit/editing of CV, and other parameters
03 On Facebook, and Telegram, the search is carried out by keywords, location, mentioning of company names in the profile, and by user's activities. You can search in specific groups/channels
04 To manage parsing, a convenient web interface has been created from the provided file for groups of 1-3 stars, 4 stars, and 5 stars
05 Parsing can work in the background, so the recruitment staff does not need to inspect and check the appearance of new candidates on the sites themselves
02 On recruiting sites, the search is carried out by the vacancy title, city, experience, date of last visit/editing of CV, and other parameters
03 On Facebook, and Telegram, the search is carried out by keywords, location, mentioning of company names in the profile, and by user's activities. You can search in specific groups/channels
04 To manage parsing, a convenient web interface has been created from the provided file for groups of 1-3 stars, 4 stars, and 5 stars
05 Parsing can work in the background, so the recruitment staff does not need to inspect and check the appearance of new candidates on the sites themselves
55
The time spent on closing mass vacancies has been reduced by 55%.
%
30
80
by
by
%
%
The time spent by employees on job sites has been reduced by 80%.
The closing time of rare vacancies has been reduced by 30% due to searches on Facebook, LinkedIn, and Telegram.
by
Implementation period
2 WEEKS
AUTOMATED PARSING OF TENDERS
The customer was interested in finding lots of land plots for sale for commercial development
The difficulty was that the information about the proper structure of the lot was often hidden in the descriptive part or the attached files and did not appear in the name or category of the lot. Searching for suitable lots took a considerable amount of staff time
01 A parsing module of tender sites has been developed
02 The parser runs through each lot from a given range of auction dates, looks at general information, and the attached files of various formats (PDF, Word, Excel)
03 Based on the availability of cadastral numbers, keywords, and various named entities, a list of lots of interest is compiled and uploaded to the customer's database
04 For each lot, an additional check of the customer's company is carried out for the required criteria
02 The parser runs through each lot from a given range of auction dates, looks at general information, and the attached files of various formats (PDF, Word, Excel)
03 Based on the availability of cadastral numbers, keywords, and various named entities, a list of lots of interest is compiled and uploaded to the customer's database
04 For each lot, an additional check of the customer's company is carried out for the required criteria
90
Employees have saved 90% of their time searching for relevant lots.
%
на
20
15
на
на
%
%
A 15% increase in the number of lots found due to the attached files search.
A 20% increase in the number of tender wins per quarter.
Platform
Implementation period
2 WEEKS
PARSING OF GOODS ON marketplace
Marketplace
Automatic filling in product characteristics and descriptions (photos, videos) uploaded to the marketplace
The customer (an online electronics store) needed to fill in the characteristics of the downloaded products automatically. A module for parsing competitors' product cards has been developed to automate this process
01 Marketplace card parsing has been developed, collecting product characteristics, photos, and videos
02 The conformity of the product to the desired one is determined by the combination of the article, barcode, brand, and product name
03 Parsing takes place according to the combination of all the cards of different competitors placed on the marketplace
04 The collected table with metrics, photos, and videos of products is transmitted to the customer's server
02 The conformity of the product to the desired one is determined by the combination of the article, barcode, brand, and product name
03 Parsing takes place according to the combination of all the cards of different competitors placed on the marketplace
04 The collected table with metrics, photos, and videos of products is transmitted to the customer's server
90
Reduction in time for filling out product cards.
%
35
20
на
на
%
%
A 20% increase in the number of specified characteristics for product cards
A 35% increase in the number of cards with a video description
на
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