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Report abuseWeb Scraping & Data Automation Engineer | I build Python pipelines that pull clean data from sites most tools can't touch
🖊️ Love to Write code
📝 Website https://kawsarlog.com/
💬 Ask me about anything, i am happy to help :)
I've extracted 15M+ records for clients across real estate, healthcare, and e-commerce, without getting blocked once.
For 9+ years, I've built Python scrapers and automation that pull clean, structured data from the platforms most tools choke on: Zillow, Realtor.com, LoopNet, Crexi, Amazon, and more. If it sits behind a login, a CAPTCHA, or a messy private API, I've probably already cracked it.
What I build:
- Custom scrapers, Selenium, Playwright, curl_cffi, Apify actors
- API reverse-engineering and GraphQL extraction
- Async, proxy-rotating pipelines that run in the cloud
- Verified B2B & real estate lead lists, plus AI-ready datasets
Most people find me after another scraper broke, got blocked, or buckled the moment they tried to scale it. That's the work I like.
The track record: Fiverr Pro (top 1%) · 200+ projects on Upwork · 1,000+ hours logged. Currently founder of bigiByte, part of the TocoLabs studio network.
Scraping & automation: Selenium · Playwright · curl_cffi · Scrapy · BeautifulSoup · Apify · aiohttp · rotating proxies Data & backend: Python · Pandas · PostgreSQL · SQLite · MongoDB · FastAPI · Flask · REST · GraphQL Infra: Docker · AWS (Lambda, API Gateway) · Linux
- Reverse-engineering platform APIs (HouseSigma, LoopNet, Crexi, Zillow) for clean, scalable data access
- Apify actors for real estate, e-commerce, and lead-gen
- Async pipelines processing 100K+ records per run with proxy rotation and resume capability
- LLM-powered extraction and enrichment on top of raw scraped data
- Processing datasets containing 10M+ records with horizontally scalable workers
- Designing resilient scraping systems with 99%+ job completion rates
- Optimizing scraping costs through intelligent caching, concurrency control, and adaptive throttling
- Building enterprise-grade monitoring with logging, metrics, alerts, and execution dashboards
- Architecting reusable scraping frameworks powering dozens of independent data collection projects
| The situation | What I do |
|---|---|
| "The site blocks our scraper" | Anti-bot bypass, Cloudflare, CAPTCHA, fingerprinting |
| "We need 100K rows, not 100" | Async, proxy-rotating pipelines that scale and resume |
| "The data's behind a private API" | Reverse-engineer it, pull it clean |
| "We need leads, not raw HTML" | Verified B2B & real estate lists, deduped and structured |
| "Make it run on its own" | Scheduled cloud jobs on AWS Lambda + API Gateway |
Got a scraping job another tool couldn't handle? Let's talk →
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