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Google Ads Transparency Scraper & Ad Monitor

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from $0.02 / 1,000 ad extracteds

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Google Ads Transparency Scraper & Ad Monitor

Google Ads Transparency Scraper & Ad Monitor

Export public Google Ads Transparency Center ad records by advertiser, domain or ID. Filter by country, date, format and platform; request available media and statistics.

Pricing

from $0.02 / 1,000 ad extracteds

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Fetch Cat

Fetch Cat

Maintained by Community

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6 days ago

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Export public Google Ads Transparency Center ad records for advertiser research and creative comparison. This Google Ads Transparency scraper returns advertiser and creative IDs, display dates, snapshot links and available text or media, with optional regional statistics and media downloads.

Search advertiser names, domains or AR… IDs in one of 178 supported countries and regions. Results depend on public availability: this is not an ad-spend report or a keyword search across ad copy, and optional fields can be empty.

Quick start

Paste this bounded input into the form, then start the Actor and open its dataset:

{
"queries": ["Nike, Inc."],
"country": "US",
"maxResultsPerQuery": 5,
"includeAdDetails": false
}

Download the dataset as CSV, Excel or JSON, or retrieve it through the Dataset API. Enable additional details only when the extra fields matter.

Prefer a video guide? This short Apify walkthrough shows you how to set up and run an Actor. It uses a different Actor, but the setup steps are the same.

Ready-to-run examples

Choose a public example to see its settings before starting a run:

What you get

Saved public ad records with advertiser and creative identities, source snapshot links, display dates and available text or media. Optional detail, regional-statistic and media-download work can add fields. Missing impression ranges or media fields remain unknown rather than zero or guaranteed coverage.

Who is it for?

  • Creative-research teams reviewing public advertiser messaging and formats.
  • Agencies preparing source-linked advertiser comparison reports.
  • Advertising researchers inspecting selected public creative records and dates.
  • Data teams organizing bounded ad-identity observations and available regional statistics.

How you can use the data

  • Prepare a Nike creative shortlist. Use the existing advertiser-name query with US search context and a small per-query cap. Keep advertiserId, adId, snapshotUrl and available text or format fields together for manual creative review.
  • Inspect a known advertiser directly. Supply a real AR identifier to avoid advertiser suggestions. A creative URL containing that identifier searches the advertiser's ads rather than retrieving only the single linked creative.
  • Review video or regional detail selectively. Use the existing YouTube/video recipe when useful and enable optional details or published regional statistics deliberately. Preserve impression bounds as ranges, and do not treat requested country context as verified full reach.
  • Compare collected identities with an earlier dataset. Supply the actual prior dataset as compareDatasetId and inspect CHANGE_SUMMARY, which compares up to 10,000 ad IDs from each dataset. Missing IDs can reflect scan limits, filters or source availability rather than proving that a campaign stopped.

Input settings

SettingJSON keyPurpose
Advertiser names, domains or URLsqueriesDiscover advertisers or use an AR… ID contained in an advertiser URL.
Advertiser IDsadvertiserIdsDirect AR… IDs. Avoids advertiser suggestion lookup.
CountrycountrySupported country code. API default US.
PlatformsplatformsGOOGLE_SEARCH, YOUTUBE, GOOGLE_SHOPPING, GOOGLE_MAPS, GOOGLE_PLAY.
Creative formatsformatsOptional text, image, video selection.
StatusadStatusall (default), active or inactive. Inferred from last-shown date.
Date rangedateFrom, dateToOptional YYYY-MM-DD overlap boundaries.
Saved result limitmaxResultsPerQuery1–1,000 per query. API default 20, form prefill 10.
Inspection limitmaxAdsScannedPerQueryAt least the saved result limit, at most 10,000. Default 500.
Baseline datasetcompareDatasetIdOptional dataset ID or name for CHANGE_SUMMARY.
Extra detailsincludeAdDetailsOptional creative details. Default false.
Regional statisticsincludeTransparencyStatsRequests details and published statistics. Default false.
Media downloadsdownloadMediaRequests details and stores available media. Default false.
Connection settingsproxyConfigurationApify Proxy by default. Supports custom proxies or explicit direct-only access. See field help.
Older input aliasessearchTerms, regions, adFormats, maxItemsAccepted aliases for advertiser queries, country, formats and saved limit.

Supply at least one advertiser source for collection. Empty explicit sources are rejected. Omitted sources perform no collection. queries and advertiserIds can be combined. A creative URL containing an advertiser ID searches that advertiser's ads. It does not request only that creative. Names and domains use advertiser suggestions. Results retain source order rather than promising newest-first sorting.

Example input with filters

{
"queries": ["Nike, Inc."],
"country": "US",
"platforms": ["YOUTUBE"],
"formats": ["video"],
"adStatus": "all",
"maxResultsPerQuery": 5,
"maxAdsScannedPerQuery": 100,
"includeAdDetails": true
}

Output data

Illustrative shape only, not a captured ad or a promise of field availability:

{
"query": "Example advertiser",
"country": "US",
"advertiserName": null,
"advertiserId": "AR00000000000000000000",
"adId": "CR00000000000000000000",
"adText": null,
"imageUrls": [],
"videoUrl": null,
"landingPageUrl": null,
"platforms": [],
"regions": ["US"],
"adStatus": "unknown",
"regionStats": [],
"impressionsLowerBound": null,
"impressionsUpperBound": null,
"downloadedMediaKeys": [],
"mediaAssets": [],
"detailAvailable": true,
"firstShownDate": null,
"lastShownDate": null,
"format": null
}
FieldsMeaning
query, countryInput query and requested market.
advertiserName, advertiserId, adIdAvailable advertiser name and stable source identifiers.
adUrl, snapshotUrl, creativePageUrlLinks to the same Google Transparency creative page.
adText, headline, descriptionAvailable creative text. Headline is derived from its first suitable line and description repeats the extracted text.
imageUrls, videoUrl, landingPageUrlAvailable media and destination URLs. Not guaranteed for every ad.
platforms, regions, regionStatsSelected platform context or published statistics. Without regional statistics, regions contains the requested country, not independently verified full reach.
adStatusDate-based active, inactive or unknown, not Google's campaign delivery status.
impressionsLowerBound, impressionsUpperBoundPublished impression bounds when returned. Null is not zero.
downloadedMediaKeys, mediaAssetsStored media keys and per-asset download outcomes.
detailAvailableFalse when requested details were unavailable. True also when details were not requested.
firstShownDate, lastShownDateAvailable source timestamps in ISO format.
format, rawCreativeType, scrapedAtInterpreted format, source type and collection timestamp.

The key-value store includes RUN_SUMMARY with per-query outcomes and scan/filter counts, and RUN_CHECKPOINT after completed queries. Checkpoints describe progress. They do not automatically resume a later run. When requested, CHANGE_SUMMARY compares up to 10,000 ad IDs from each dataset. Downloaded media appears in the same key-value store.

Download your results

Open your run's dataset, choose Export and select JSON, CSV or Excel. JSON keeps nested fields together. CSV and Excel are useful when you want to review the records in a spreadsheet.

See Apify's download and export guide for the available formats and field options.

Pricing

Pay-per-event pricing uses a start event once for a collection run after input validation and an ad event for each saved ad row. No-result or failed queries and summary records are not saved-ad charges. A collection run can still incur its start event without results.

Current rates and Store discounts are on the Pricing tab.

Tips for best results

  • Start with one advertiser and small saved and scan limits. Narrow filters can produce fewer results than requested.
  • Use a direct advertiser ID when known. Name and domain searches use advertiser suggestions, while a full creative URL is not a single-creative lookup.
  • Enable optional detail work only when needed. Statistics and media downloads can add work without guaranteeing every field.
  • Keep inferred status separate from account delivery status. It is based on last-shown dates rather than Google's campaign controls.
  • Inspect summary outcomes before interpreting comparisons. Partial scans or unavailable queries can affect which IDs appear in a saved dataset.

Limits and caveats

This is public advertiser research rather than ad-copy keyword search, ad-spend reporting, targeting or campaign-account data. The separate political-ad archive is not included. Public access can expose fewer records than a signed-in browser, without Google login or cookies, and the Actor is not affiliated with Google.

Names and domains use advertiser suggestions, while direct AR IDs avoid that lookup. A creative URL containing an advertiser identifier searches that advertiser's ads. Results retain source order rather than a newest-first guarantee. Omitted sources perform no collection, and empty explicit sources are rejected.

Details, published regional statistics and media downloads are optional. Available media can be stored in the key-value store, while files over 25 MiB are not stored. Optional text, media and ranges can be empty. Without published regional statistics, regions contains requested-country context rather than independently verified full reach.

Status is inferred from last-shown dates, not Google's actual campaign-delivery state. DetailAvailable can be true when details were not requested, so it is not proof of successful detail enrichment. Display dates and impression ranges do not establish spend or performance.

Source limits can cause partial or failed queries while already-saved rows remain available. Inspect RUN_SUMMARY scan/filter counts and per-query outcomes. RUN_CHECKPOINT records progress rather than automatic resume. CHANGE_SUMMARY compares at most 10,000 IDs per dataset and does not prove that missing ads or campaigns stopped.

Automation and integrations

Save your settings for next time

Once you have an input that works for you, save it as an Apify task. This keeps your settings together so you can use them again without filling in the form from scratch.

Run on a schedule

Need fresh results regularly? You can schedule the Actor or a saved task to run at a time that suits you.

Each scheduled run collects the data again. If you want to compare results or highlight changes, add that step in your own workflow.

Send results to your other tools

Use n8n, Make or Zapier to connect this scraper to the rest of your workflow. For example, you could pass its results to an AI assistant or add records to a spreadsheet. Follow the Apify integration guides for your chosen tool.

For a custom connection, an Apify webhook can notify your app when a run finishes or fails. Your app can then fetch the results or handle the failure.

API usage

Want to collect this data from your own app or automation? The examples below send input to the scraper and show how to collect its results.

The Node.js and Python examples wait for the run to finish before reading its results. The cURL example starts the run and returns its details. Wait for that run to finish, then use its defaultDatasetId to fetch the results.

For setup instructions, see Apify's JavaScript client guide, Python client guide and Actor runs API reference.

cURL

curl -X POST 'https://api.apify.com/v2/acts/fetch_cat~google-ads-transparency-scraper/runs' \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H 'Content-Type: application/json' \
--data @- <<'JSON'
{
"queries": [
"Nike, Inc."
],
"country": "US",
"maxResultsPerQuery": 5,
"includeAdDetails": false
}
JSON

Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/google-ads-transparency-scraper').call({
"queries": [
"Nike, Inc."
],
"country": "US",
"maxResultsPerQuery": 5,
"includeAdDetails": false
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ['APIFY_TOKEN'])
run = client.actor('fetch_cat/google-ads-transparency-scraper').call(run_input={'queries': ['Nike, Inc.'], 'country': 'US', 'maxResultsPerQuery': 5, 'includeAdDetails': False})
print(client.dataset(run['defaultDatasetId']).list_items().items)

API usage notes

For longer requests use the asynchronous runs endpoint, wait for completion and retrieve defaultDatasetId.

MCP and AI agents notes

Ask: “Collect up to five public ads for Nike in the US using queries, country and maxResultsPerQuery. Summarize only returned fields and report partial or empty results.” Retrieve dataset rows after the run completes. Do not infer actual campaign spend or complete market coverage from the export.

MCP and AI agents

You can ask your AI assistant to collect data with Google Ads Transparency Scraper & Ad Monitor and help you work with the results. The scraper returns the data, and your assistant can then summarize it, compare records or prepare notes.

Connect your assistant through the Apify MCP server. MCP gives your assistant a way to find this scraper, run it and read the results. Follow the official setup and sign-in guide for your app.

Easier setup with an Apify plugin

If you use a supported coding assistant, the official Apify plugin can set up the connection for you. It connects your assistant to Apify and includes instructions for common tasks. Follow the guide for your particular app.

Use Apify AI in Console

Prefer to keep everything in Apify? Open Apify AI in Console and ask it to find Fetch Cat's Google Ads Transparency Scraper & Ad Monitor. You can describe the data you want and ask questions about the results.

Apify AI is currently in beta. It asks for confirmation before starting an Actor, and normal run charges apply.

Choose your assistant

Connect just this scraper

To keep your setup focused on this scraper, add this server configuration to a compatible MCP client:

{
"mcpServers": {
"apify": {
"url": "https://mcp.apify.com?tools=fetch_cat/google-ads-transparency-scraper"
}
}
}

Sign in to Apify when your client asks. If your client uses a Bearer token instead, follow its setup guide and keep the token in its secure configuration. Configuration formats vary by app, so use the linked guide if your client needs a different format.

Use Apify's general server

Already connected to the general Apify MCP server at https://mcp.apify.com? You can use it to find this scraper without adding another server. Ask your assistant to use Google Ads Transparency Scraper & Ad Monitor by Fetch Cat, or give it the identifier fetch_cat/google-ads-transparency-scraper.

Your assistant can check the available settings and retrieve the results from the returned run. If the run is still working, it should follow that run rather than start it again. Both connection options use Apify's hosted service.

Example requests

  • “Use Fetch Cat’s Google Ads Transparency Scraper to collect up to 5 records for Nike, Inc. in the US with extra details off. Show advertiser IDs, ad IDs and snapshot links for manual creative research.”
  • “Collect at most 3 video creatives for Nike, Inc. using YouTube and video filters with extra details enabled. Show available creative text and media links without inferring spend, targeting or campaign performance.”
  • “Retrieve up to 5 ads for the real advertiser AR identifier I provide and compare collected IDs with my actual earlier dataset. Explain missing-ID differences with scan and source limits rather than claiming the campaign stopped.”

Normal Apify charges apply. Check the live Pricing tab before asking your assistant to run a larger batch.

Pay with x402

If your AI agent has a funded wallet, it can pay for Apify usage through x402. This experimental option lets an agent use Apify without a conventional account.

Apify AGI provides a prepaid API token with a spending cap after payment. Your agent can use that token to run this scraper through the Apify API or an authenticated MCP connection.

Some MCP setups also support paying for each request directly. That is a different payment option, so check the official guide for its availability.

Follow the official guide for wallet setup, supported payment options and current terms. Apify handles the payments. Keep wallet keys and payment tokens in your agent's secure configuration.

Other ways for agents to pay

Apify also supports MPP for prepaid access through AGI and Skyfire for eligible Actors. If your agent already uses one of these, see the agentic payment guide to choose the right setup.

FAQ

Can I export Google Ads Transparency data to CSV or Excel?

Yes. Open the completed dataset and choose CSV, Excel or JSON, or use the Dataset API.

Is this a Google Ads API alternative?

It exports public Transparency Center records, not private Google Ads account reporting, campaign management, spend or demographic targeting.

Can I monitor competitor ads?

Run the same bounded input again and optionally compare datasets with compareDatasetId. Comparisons cover collected IDs, not guaranteed complete campaign history. The Actor does not create schedules or automatically select a baseline.

Why are some fields empty or no ads returned?

Check the advertiser, requested country and filters. Public source availability varies, and details or statistics may not be published. Empty optional fields are not zero values. Review the per-query summary for no matches, incomplete work or failures.

Support and feedback

For custom additions or integrations, email hello@fetchcat.dev.

Found an error or have a feature request? Open an issue with the run URL, a non-sensitive input example and what you expected.

Need help sharing it? See Apify’s guide to sharing a run when reporting an issue. Sharing a run can give the developer access to its input, logs and results, so use a run that contains no sensitive data. Please leave out API tokens, passwords, cookies, private documents and personal data. Use a public sample URL or a redacted example instead.

Tried this scraper? We'd love to hear how it worked for you. Leave a review to help others choose the right tool and help us improve it. Your feedback means a lot to us.

Made with care for curious people, AI agents and the possibilities in data. ♥