Guides & Tutorials, Platforms & Tools
Streamlit Marketing App: Ad Research in ~150 Lines
Build a Streamlit marketing app for competitor ad research in ~150 lines of Python: sidebar filters, cached API search, ad grid, watchlists, CSV export.
Explore our latest articles, guides, and insights on technology, development, and design.
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.
Turn a competitor ad into a finished creative brief in 20 minutes: find the winner via the AdLibrary API, enrich it, and let an LLM draft the brief.
Filter ad search to Shopify stores, then sort by runtime and engagement to surface proven DTC creative. Full workflow with real API code samples.
Google ships no official Ads Transparency Center API. What ATC exposes, how AR-id and domain queries work, and how to pull Google and YouTube ads in code.
AI ad analysis via API: turn 200 competitor ads into queryable rows of hooks, claims, and creative structure. Batch enrichment, cost math, caching.
Track competitor ads across Meta, Google, and LinkedIn in one pipeline: resolve IDs, curate with one call, dedup by ad key, report from a unified timeline.
How to find any brand's advertiser ID on Meta, Google, and LinkedIn: manual lookup routes, one-call API resolution, and the ID mix-ups that kill workflows.