Web scraping and data engineering
Custom scrapers of any complexity. Anti-bot bypass without blocks, price monitoring, data aggregation from dozens of sources. Marketplaces, auctions, classifieds, B2B catalogs, private APIs. From $3,000 (₽300K), zero blocks over 8 months on a client project.
Start a projectWhat scraping solves
Scraping is about extracting data from websites when no official API exists, or when the API isn't enough. Typical business cases:
- Competitor price monitoring — marketplaces, classifieds. Automated repricing, alerts on changes
- Assortment aggregation — pulling catalogs from 10+ suppliers for B2B distributors
- Lead generation — company contact collection from open sources (directories, aggregators)
- Tender monitoring — government and commercial procurement sites, Telegram alerts
- Job listing aggregation — LinkedIn, job boards — for HR-tech products
- Review and rating analysis — product, competitor, brand analytics
- Social media scraping — posts, comments, profiles for sentiment analysis
- Data normalization and enrichment — bringing scraped data into a standard schema
Our scraping approach
Stealth scraping
Puppeteer Stealth + undetected-chromedriver. Bypassing fingerprinting, Cloudflare, DataDome, PerimeterX without blocks.
Proxy rotation
Residential proxies from 50+ countries, automatic IP rotation, retry on block, per-domain rate limiting.
CAPTCHA solving
Integration with 2Captcha, AntiCaptcha, CapSolver. Automated recognition of reCAPTCHA, hCaptcha, FunCaptcha.
Normalization
Pipeline that unifies different formats: prices, currencies, attributes, images.
Deduplication
Matching identical items from different sources: fuzzy comparison, hash matching, ML classifiers.
Real-time updates
Differential scraping — we track only changes, not full re-scrapes. Update frequency from 1 minute to 1 hour.
ClickHouse storage
Time-series data (price and stock history) stored in ClickHouse — for analytics over billions of rows in minutes.
Alerts and notifications
Telegram, email or webhook notifications on key events: price change, new product, low stock.
Scraping pipeline stack
Timelines and pricing
Ranges depending on task complexity and number of sources.
Besides development, factor in monthly operating costs:
- Proxies — from $100/month for a basic residential pool
- CAPTCHA services — from $20/month (pay per use)
- Servers — from $50/month per VPS
- Monitoring — $0 (self-hosted) to $50/month (cloud services)
What drives cost
- Number of sources — 1 site or 50; each new source means separate scraping logic, testing, monitoring
- Anti-bot complexity — static page vs. Cloudflare + DataDome + PerimeterX with active defense
- JS rendering — HTML parsing is cheaper than running a headless browser (Puppeteer/Playwright)
- CAPTCHA — reCAPTCHA/hCaptcha presence adds solver service costs
- Update frequency — daily is cheaper than every 5 minutes
- Data volume — 1K rows or 10M: affects database choice, storage architecture, infra requirements
- Normalization and enrichment — a simple dump is cheaper than unified schema with ML deduplication
- Integration with client systems — export to client API, accounting system, CRM
- Monitoring and alerts — mandatory for production operation
- SLA — scraper uptime guarantee and incident response time
Our scraping cases
- B2B marketplace scraper (NDA) — 100K+ SKUs monitored, 30+ sources, 1-hour update cycle, zero blocks in 8 months
- Initial T — TAU and SOCOCARA auction scraping, parts search via Yahoo Japan and Amayama
- Marketplace price monitoring (NDA) — tracking competitor prices and stock with automated repricing
Need a scraper?
Tell us what to collect and from where — we'll come back with architecture and estimate within 2 hours.
Start a project