Python engineer building resilient async scrapers & structured-data extractors on Apify.

📍 India · 8 years coding · Deep Python + async · Open for freelance work

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Production-grade actors for teams that need clean structured data, not raw HTML — for RAG pipelines, knowledge graphs, and ML training. Async by default, schema-validated output, failure-tolerant, cost-aware pay-per-event pricing.

Any Wikipedia page → rich JSON in one call: content, infobox, tables, images, references, links, categories, semantic chunks, and Wikidata QID for entity disambiguation.

• Async aiohttp, concurrency 1–25, per-run caching, retries with backoff
• 19 fields per record — infobox parsed to K/V, tables to rows, links carry QIDs
• Three Store views: Overview, Content, Metadata
• Graceful failure — a 404 page becomes a partial record, not a crash

Built for RAG pipelines, knowledge graphs, dataset building, and ML training data.

Python (async, aiohttp, BeautifulSoup, lxml), TypeScript, Crawlee, Playwright, Docker, Apify SDK, JSON Schema Draft 2020-12, semantic chunking for LLMs.

Freelance / contract scraping projects — structured data pipelines, LLM/RAG dataset prep, migrating brittle scrapers to schema-validated actors.

📧 mohitsoni.mait@gmail.com
🐙 github.com/Mohit-Sony 

Response within 24 hours (IST). Custom actor delivery in 3–7 days.