Meta Ad Library research console
A Python engine for working with public Meta Ad Library data: structured ad records, creative references, advertiser details, run dates, platform signals, and transparency fields where available. Every export is designed for research workflows and provenance review.
- Research throughput ~1,000 public ad records in about 3 minutes in local tests. Larger runs can be split into controlled date windows.
- 60+ fields per ad IDs, advertiser, creative copy, CTA, media references, platforms, run dates, plus public political and EU transparency data when available.
- Structured output + provenance JSON, CSV, JSONL, or ZIP, with a SQLite or Postgres query store. Every row carries its source and capture time.