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Build a custom GPT that searches live competitor ads by chat: the exact OpenAPI Actions schema, bearer auth setup, credit-aware instructions, and real limits.
Build vs buy ad intelligence, priced honestly: DIY scrapers, managed actors, commercial APIs, and manual research compared on real TCO, ToS risk, and time.
TikTok ad library API options in 2026: what the official Commercial Content API requires and excludes, and how to query TikTok ads programmatically.
Build a weekly competitor ad email digest your team actually reads: scheduled API scan, diff, LLM summary, and HTML email via Resend, SES, or SMTP.
Build a Looker Studio competitor ads dashboard: pull ad data via API into Sheets or BigQuery, map the fields, and ship the 6 charts your intel deck needs.
Build Discord competitor ad alerts with one webhook and a poll script: first-seen filtering, embed previews, role mentions, rate limits, and cron options.
Build a Streamlit marketing app for competitor ad research in ~150 lines of Python: sidebar filters, cached API search, ad grid, watchlists, CSV export.
Build a Notion competitor ad hub fed by an ad library API: database schema, sync script with dedup, gallery views, team annotation, and the real limits.
Build a BigQuery competitor ads warehouse: four-table schema, Cloud Function load pipeline, partitioning, dedup, and six SQL analyses incl. share of voice.
No-code ad monitoring or custom scripts? A decision matrix by team profile, cost math at three scales, and the hybrid pattern that survives month six.
Every DSA ad repository mapped for developers: Article 39 fields, platform APIs, EU-only scoping traps, and how to combine them with commercial ad data.
Six ad spy APIs compared on platform breadth, field depth, pricing, and ToS risk: AdLibrary, BigSpy, PowerAdSpy, Apify, Meta's free API, and Google ATC.
Automate the competitor ad section of client reports: watchlists, scheduled curate-and-diff, AI enrichment, and Slides or PDF output at ~10 credits/client.
Build a competitor ad database with a four-table schema, an API ingestion pipeline with dedup, and eight SQL queries for velocity, formats, and hooks.
By the time a competitor's launch shows in your metrics, it has run for weeks. Use first-seen dates, daily diffs, and spike alerts to catch it in days.
