A configurable lead generation pipeline where you bring your own targets and sources. It scrapes, cleans, enriches, and qualifies leads at scale, turning messy web data into clean, scored records, 30,000+ processed. Built solo, end to end.
Building lead lists by hand meant hours of searching, copy-pasting, and cleaning, with duplicates, missing fields, and no consistent way to qualify who was actually worth contacting. It couldn't scale past a few hundred leads.
One pipeline that takes your target criteria, scrapes the right sources, enriches and scores every lead with an LLM, removes duplicates, and hands back a clean, ready-to-use list, thousands at a time, hands-off.
You define the criteria and sources you want leads from. The pipeline takes that as input, no fixed niche, no rebuild per use case.
Apify actors pull structured data from directories and listings at volume, with pagination and batching handled automatically.
For sources without a clean structure, Firecrawl crawls and extracts content from arbitrary web pages into usable text and fields.
DeepSeek cleans, classifies, and scores each lead, normalizing fields and structuring messy raw data into consistent, qualified records.
Records are deduplicated, validated, and exported as a clean list to the client's destination of choice, ready to use immediately.
You bring the targets, it brings the leads. One config kicks off the entire run, from raw web sources to a clean, scored, deduplicated lead list.
Batched, idempotent processing lets huge runs complete reliably and resume cleanly instead of restarting from zero on a single failure.
Enrichment is batched and rate-limited so large runs don't burn API budget, the LLM is used where it adds value, not on every raw byte.
Messy, inconsistent web data is normalized into a single clean schema, with duplicates removed so the final list is genuinely usable.
Scrapers and APIs fail and throttle constantly. Retry logic and backoff keep the pipeline running through it without manual babysitting.
Criteria and sources are config, not code, so the same pipeline serves new niches and campaigns without a rebuild.
Scraping, AI enrichment, data layer, and orchestration, designed and shipped end to end by one engineer.
I turn messy business problems into reliable AI systems, scraping, agents, RAG, and automation, designed and shipped solo.