Mary Lou

I build fast, reliable scrapers for ads and marketing data — turning public ad libraries and search platforms into clean, analysis-ready datasets.

Six are live on the Apify Store; the Meta Ad Library scraper is past 3,300 runs.

🎯 What I work on

Ad transparency libraries — competitor creatives, spend, reach, run dates:

• Meta (Facebook & Instagram) Ad Library — copy, CTAs, image and HD video URLs
• Google Ads Transparency Center — Search, YouTube, Display, Shopping, Maps
• TikTok Commercial Content Library — 32 EU/EEA markets, downloadable creatives

Market & lead intelligence:

• LinkedIn Jobs — no login, no cookie, no account at risk
• Google Search — organic SERP results, built for rank tracking
• Website Contacts — emails, phones and socials from any domain list

🛠 How I build

Python · direct API/GraphQL over browser automation · TLS fingerprinting · resumable checkpointed jobs

• Measure every transport constant, never copy one. chrome146 works on Meta and is refused outright by Google; TikTok accepts residential IPs and rejects datacenter ones while still completing the handshake.
• No browser until it's proven necessary. Built the headless Google Search version, measured 75s/query against 1.3s for plain HTTP, deleted it.
• Runs that survive. Global dedup, resumable checkpoints, wind-down before the platform timeout, and a hard cap so a run never scrapes past its budget.
• Schemas that admit what they don't know — if a field is empty upstream or derived rather than read, the docs say so.