01
Browser Automation
Headless and headful orchestration that survives DOM shifts, CAPTCHAs and rate ceilings. Playwright, Puppeteer and our own resilience layer.
02 — Services
Web Scraping & Data Extraction
Production-grade pipelines from one source to thousands. Proxy rotation, schema validation, dedup, change detection and structured delivery.
Production-scale web scraping is not a script that pulls a product list once a day. It is a data pipeline: from source, through transformation, validation, deduplication, persistence, and delivery into the client's system — with quality guarantees and monitoring at every stage. We build these pipelines for e-commerce, fintech, real estate, media and market intelligence firms.
From one source to thousands
Smaller projects (one site, a few hundred thousand records per day) we run on Scrapy or Crawl4AI with simple proxy routing through Bright Data, Oxylabs or our own pools. Larger ones — multi-source pipelines scraping 1000+ targets in parallel — require orchestration in Temporal or a custom job scheduler, with isolated fingerprints per target and adaptive rate limiting.
Every record passes schema validation (Pydantic / Zod), deduplication (hash-based plus fuzzy matching when needed) and normalization (categories, units, dates, currencies). Only records that pass all gates land in storage.
Real-time change detection and webhooks
For clients who need to know about changes (price change, new product, description change, listing removal), we add a diff layer. The pipeline compares the current record to the previous one, classifies the change, and — if it matches client rules — fires a webhook. Repricing engines, alert systems, market intelligence dashboards — all can be wired up in a few hours.
Data delivery in the format that fits
JSON, Parquet, CSV, PostgreSQL, S3, BigQuery, Snowflake, webhook to your endpoint, private paginated API — depending on where the data needs to go. Most clients pick two formats: one for hot path (webhook), one for analytics (Parquet in S3).
What you get
- Scalable scraping pipeline with auto-scaling
- Schema validation and deduplication
- Real-time change detection and webhooks
- Delivery in your chosen format
- Data quality monitoring and alerts
- Schema documentation and data contracts
Stack
ScrapyCrawl4AIPlaywrightBright DataOxylabsTemporalPostgresS3Parquet
FAQ
Frequently asked
How many records per day can you extract?
Comfortably hundreds of thousands to a few million records per day from a single target — with the right proxy budget. The largest pipeline we currently run handles 2.1M products per day across 1,200 marketplaces.
Is your scraping GDPR-compliant?
For publicly available non-personal data, yes. For personal data (e.g. LinkedIn contact info), we consult the client's legal team and often recommend legal alternatives (e.g. ZoomInfo API instead of scraping).
How do you handle large platforms like Amazon, Zalando, eBay?
Each has its specifics. Amazon has DataDome and requires solid fingerprinting. Zalando uses aggressive geolocation-based blocking. eBay's anti-bot is mid-tier but their rate limits are strict. We adapt per target.
How do you guarantee data quality?
Three mechanisms: schema validation at ingestion, monitoring of quality metrics (completeness, freshness, accuracy) with alerts, and periodic spot-checks on samples. If quality drops below threshold, the pipeline pauses delivery and alerts.
Other services
Back to services ↗03
AI Agents & Bots
Goal-driven agents that browse, reason and act. We design tool use, memory and guardrails so the agent does the job — not roleplay it.
04
Social Media Automation
Multi-account orchestration, scheduling, engagement loops and analytics. Compliant, account-safe and built to scale beyond a single operator.
Let's talk about your project
Let's make it run itself.
A short conversation about what you want to automate. Proposal within 5 business days.