Collect any data from the
internet on autopilot
Get competitor prices, product catalogs, advertisements and client contacts in real time. We use neural networks for automatic recognition of non-standard formatting and structuring of raw data.
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Around Complex Protections: Cloudflare, PerimeterX, reCAPTCHA, Datadome
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AI normalisation and product matching (Product Matching)
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Export in any format: CRM, PostgreSQL, Google Sheets, JSON, API
Why is this critical right now?
Manual price monitoring
Managers spend entire days opening competitors' sites in a browser to compare prices on products.
IP Blocking and CAPTCHA
Standard parsers fail within a few minutes due to blocking by modern website protection systems.
Dirty and chaotic data
Data arrives with errors, different units of measurement, without characteristics and requires manual cleaning.
What does it give to business?
Why is the implementation of this technology taking off in the first months.
Dynamic pricing
Always keep prices more competitive than competitors based on automatic hourly monitoring.
Immediate catalog filling
Collection of thousands of products with photos, descriptions and filters in a few hours instead of months of manual work by a content specialist.
Smart comparison (Matching)
AI understands that "iPhone 15 128 Black" and "Apple iPhone 15 128GB (Black)" are the same product.
Bypass any protections
We use rotation residential proxies, headless-browsers (Playwright) and emulation of human actions.
Enrichment of leads (Enrichment)
Automatic search for open contacts of companies, phone numbers, and profiles on LinkedIn.
Stability and Monitoring
If a competitor's site changes the layout, AI algorithms automatically adjust the selectors without stopping the parsing.
How We Implement It
No magic. Just a clear engineering process
Analysis of target websites: evaluation of protections (Cloudflare, Akamai), data structure, and sample size
Parser architecture: selection of proxy network, browser engine (Scrapy/Playwright) and task queue.
Writing logic for data extraction: creating scripts for data collection and bypassing pagination/filters.
Connection of AI - cleaning: standardization of names, correction of errors and translation of descriptions through LLM.
Configuration of schedule: running auto-parsing (every hour/day) with saving to your database.
Monitoring and alerting: setting up notifications about price changes or failures in Telegram.
Frequently asked questions
Is it legal to parse open data from websites?
Yes. Collection of publicly available information (prices, product names, public descriptions) is a lawful practice that does not violate data protection legislation.
How do you handle Cloudflare and CAPTCHA?
We use premium resident proxy bullets from around the world, automatic CAPTCHA solvers and emulation of real browser sessions with fingerprints (Fingerprints).
Will the Website Owner Notice That Their Site Is Being Scraped?
No. We configure intelligent delays between requests to avoid overloading the target resource servers and remain undetected.
IN WHAT FORMAT DO WE RECEIVE THE DATA?
In any convenient way: direct synchronization with your database (PostgreSQL, MySQL), via API, in Google Sheets, CSV, or directly in CRM.
What to do if the website's design has changed?
Our LLM parsers are oriented towards the semantics of content, not just rigid CSS selectors. In addition, we provide continuous technical support.
Ready for Implementation?
Describe your task. We will conduct a free audit and propose an AI solution architecture specifically for your business.