Datacol is a powerful website parser and web scraping tool.
Download-Datacol – a powerful website parser and web scraping tool
Description
Datacol 7.5.0.9 is a professional website scraper tool that helps businesses, marketers, SEO specialists, and analysts quickly extract structured information from the internet without programming skills. The program provides comprehensive web scraping solutions for any task: from collecting prices and product descriptions to exporting contacts, ads, competitor data, and SEO metrics.
What does Datacol do?
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Automatic website parsing – extracts text, structures, prices, images, contacts, and other elements from any page.
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Ready-made parsers for popular sources —online stores (Wildberries, Ozon, Yandex Market), classifieds (Avito, OLX), aggregators, blogs, catalogs, and social networks.
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Data export – saves results in CSV, Excel, XML, JSON, and other formats ; direct connection to CMS and databases is possible.
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An intuitive interface and customization options are suitable for both beginners and advanced users; parsers can be customized to suit individual needs.
Datacol Benefits
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No programming skills required: work with data without writing code.
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Extensive web scraping capabilities: collect data from dynamic pages, marketplaces, forums, and aggregators.
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Flexible export: Easily integrate results into your workflows via CSV/Excel/XML/JSON.
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Support and training: our technical support team is ready to assist with setup and problem-solving at any level.
Main use cases
Monitoring competitors' prices and current offers
Collection of contact information and email databases
Importing products and descriptions into an online store
Analysis of SEO data, keywords and search results
Automatic content and database filling
Why choose Datacol
Datacol has been operating in the market for over 11 years and has proven its effectiveness in automating web scraping for companies and professionals worldwide. Over 80 pre-built parsers, expandability, and flexible export options allow you to quickly scale your data collection processes.