Scraping to collect data from a webpages (Data Parsing)

Parsing (Web scraping, web harvesting, web data extraction) is the process of collecting specific data from web pages that present information to the end user in an open form. The task of a parser is to collect this data, structure it, and present it in the form of a convenient spreadsheet. This can include products with prices and availability, email addresses and phone numbers, URLs and postal addresses. Data collection is carried out using web crawlers similar to those used by search engines. The extracted data can be used to fill stores with products or for analysis, such as analysing competitors’ prices and product availability.

Data obtained through web scraping is typically used to ECommerce product uploading on your online website stores, analyze pricing and product availability on marketplaces, build customer databases, collect reviews, images, and various files.

Web scraping can be used to collect virtually any publicly available data. Online stores often use web scraping to gather data on product features, prices, availability, and images for their own websites. Web scraping can also be applied to search queries, photographs, web page screenshots, and other files. It is also possible to scrape catalogs and directories to create contact databases for potential customers.

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The cost of web scraping depends on the number of pages you are interested in scraping and the complexity of the source web site (as some web sites have anti-scraping measures in place). We also offer discounts to our regular customers.

Payment is made upon completion of the work. You can choose to pay by bank transfer or online payment with a bank card. Contract agreement is handled individually.

Data collection is completely legal, as all information is sourced from open-access platforms. A simple analogy is search engines like Google and Yandex: they gather information from across the web, then analyze, structure, and deliver it to users worldwide in a convenient format. The only exception involves copyright-protected content. However, the type of data we typically work with includes prices, manufacturers, product availability, and similar open information. In addition, we provide professional services for processing collected data — including analysis, systematization, structuring, rewriting, synonymization, and more — ensuring the information is both accurate and tailored to your needs.