
Muhammad Sajid Izzulhaq
Pure-HTTP scraping without a headless browser — pull structured data straight from a platform's own JSON endpoint. Faster, cheaper, cleaner.
Syzen23
in/muhammad-sajid-izzulhaq
Joined June 2026
ACTOR STATS
3 public Actors
7 total users
5 monthly users
98.7% runs succeeded
Most scrapers waste resources rendering full web pages. I take the opposite approach: lightweight, HTTP-first data extraction.
Almost every web app exposes raw data via internal JSON endpoints. Instead of running a heavy browser, I reverse-engineer these endpoints to extract data directly from the source.
- Blazing Fast — Zero browser overhead or rendering wait times; straight to the API data.
- Cost-Efficient — Handles massive scrape volumes without expensive infrastructure.
- Consistent & Reliable — Clean, predictable data schema built for pipelines.
- Low Maintenance — Mimics native platform requests for long-term stability.
Every extraction returns structured, ready-to-use exports:
- JSON — Raw, field-consistent records for databases and automation pipelines.
- XLSX / CSV — Clean spreadsheets for sales and operations teams, ready out of the box.
- CRM Integration — Stable field names designed to plug directly into Sheets, Notion, or CRMs.
No manual copy-pasting. You get pure data as stored by the platform — structured for machine use and formatted for humans.
Includes rate-limiting, automatic retries, and proxy rotations to operate safely within target boundaries.