Google Ads Transparency Intelligence & Market Monitor

Analyze Google's official Ads Transparency Center dataset across the European Economic Area and Turkey without scraping fragile web pages.

The Actor turns more than 169 million public transparency records into structured advertiser discovery, ad-activity search, market leaderboards, and removed-ad policy intelligence. Google's dataset is updated periodically and may lag behind the website.

Free and paid access

• Apify FREE plan: returns 10 clearly labeled cached Apple example rows. No BigQuery request is made and no external quota is consumed.
• Paid Apify plans: run a current BigQuery query after a free dry-run cost estimate, a successful pay-per-event charge, and a strict maximum-bytes check.

The cached example was captured from the official dataset on 2026-08-30. It is demonstration data, not a claim that those ads remain active today.

Analysis modes

Discover advertisers

Find matching verified advertiser entities, legal and disclosed names, registered locations, ad counts, and latest activity. This is the economical first step when a brand has multiple Google advertiser IDs.

Search ad activity

Return creative IDs, ad formats, advertiser identity, served regions, first and last shown dates, impression ranges, topics, funding disclosures, and optional audience-selection signals.

This dataset reports transparency metadata and links to Ads Transparency Center. It does not contain Google Ads account keywords, bids, clicks, conversions, or complete creative copy.

Market leaderboard

Rank advertisers by distinct creatives or disclosed impression ranges in selected markets and date windows. Combine up to 25 brand or category terms in one query.

Removed ads

Inspect removed creatives, policy violation categories, removal reasons and locations, decision type, automated-review disclosure, served regions, dates, and impression ranges.

Cost protection

Every paid run follows this order:

1. Validate and parameterize all inputs.
2. Ask BigQuery for a dry-run byte estimate; dry runs do not scan or bill data.
3. Reject the query if its estimate exceeds the mode-specific hard limit.
4. Charge the corresponding Apify event and verify the user's run budget accepted it.
5. Execute with maximumBytesBilled and BigQuery result caching enabled.

Free users stop before step 1 and receive the cached example. User values are always passed as BigQuery parameters and never inserted into SQL text.

Pay-per-event prices

These launch prices sit just above the protected worst-case Google BigQuery cost after the 1 TiB monthly free allowance and Apify's 20% marketplace share. They prioritize early adoption while retaining only a small safety margin:

Event	Price	Trigger
advertiser-query	$0.19	One advertiser-discovery query
ad-query	$0.99	One ad-activity query
market-query	$0.75	One market leaderboard query
removed-query	$0.62	One removed-ad query

Cached demo runs do not emit any charge event. Each paid run emits exactly one query event only after its dry-run estimate passes the mode-specific cost limit.

Output

Results are written to the default dataset. OUTPUT in the default key-value store records whether the run used cached demo or live data, the charged event, estimated processed bytes, enforced maximum bytes, source location, and emitted row count.

Data source

• bigquery-public-data.google_ads_transparency_center.creative_stats
• bigquery-public-data.google_ads_transparency_center.removed_creative_stats

Use of the data is subject to Google's Terms of Service and Ads Transparency Center Additional Terms.