Facebook Ads Library Scraper — Ad Intelligence
Pricing
from $1.00 / 1,000 ad scrapeds
Facebook Ads Library Scraper — Ad Intelligence
Scrape Facebook Ads Library creatives, advertisers, copy, media, landing pages, dates, and targeting signals for competitor and campaign research.
Pricing
from $1.00 / 1,000 ad scrapeds
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Developer
Muhammad Afzal
Maintained by CommunityActor stats
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1
Monthly active users
16 days ago
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Scrape ads from the Meta/Facebook Ads Library by keyword, advertiser Page URL, or pre-configured Ad Library URL. Get ad copy, creatives, CTA, spend estimates, reach data, running days, winner scores, and EU transparency data — all in clean, flat, structured JSON.
No login required. No Meta API token needed.
Features
- 3 input modes: Search by keyword, advertiser Page URL, or paste an Ad Library URL with filters
- Ad intelligence signals: Winner score (0-100), winner tier, winner signals, CTA detection, ad categorization, running days
- EU transparency data: Spend ranges, impression ranges, EU total reach, demographic distribution (age/gender breakdown)
- Full creative extraction: Images, videos (HD/SD/preview), carousel cards, CTA text/type/URL
- Advertiser metadata: Page name, ID, URL, profile picture, like count, verification status, page category
- Flat, clean output: No nested API dumps — every field is at the top level, ready for spreadsheets, databases, and AI pipelines
- 52 countries supported: Or search all countries at once
- No login: Works entirely from the public Ad Library
Use Cases
- Competitor ad research: Monitor rival brands' ad creatives, copy, and strategies
- Dropshipping & product research: Find winning ads by winner score and running duration
- Agency reporting: Bulk-collect active ads for clients across countries and platforms
- Political ad monitoring: Collect DSA/transparency data (spend ranges, reach, demographics) for regulatory analysis
- Creative benchmarking: Compare CTAs, formats, and copy angles across competitors
- Market research: Track seasonal spend shifts and creative strategy changes
Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
searchTerms | string[] | No* | ["nike"] | Keywords to search (e.g. "skincare", "crypto trading") |
pageUrls | string[] | No* | [] | Facebook Page URLs or numeric page IDs |
adLibraryUrls | string[] | No* | [] | Full Ad Library URLs with filters pre-configured |
country | string | No | ALL | Country code or ALL for worldwide |
adActiveStatus | string | No | ALL | ACTIVE, INACTIVE, or ALL |
adType | string | No | ALL | ALL, POLITICAL_AND_ISSUE_ADS, HOUSING_ADS, EMPLOYMENT_ADS, CREDIT_ADS |
mediaType | string | No | ALL | ALL, IMAGE, VIDEO, MEME, NONE |
maxResults | integer | No | 100 | Maximum ads to collect across all sources |
proxyConfiguration | object | No | Residential | Proxy settings (residential recommended for deep pagination) |
*At least one of searchTerms, pageUrls, or adLibraryUrls must be provided.
Output
Each ad is returned as a flat JSON record:
| Field | Type | Description |
|---|---|---|
adId | string | Meta Ad Library archive ID |
pageName | string|null | Advertiser page name |
pageId | string | Advertiser page ID |
pageUrl | string|null | Facebook Page URL |
pageLikeCount | number|null | Page like count |
pageVerified | boolean|null | Page verification status |
adText | string|null | Ad body copy |
headline | string|null | Ad headline |
ctaText | string|null | CTA button text |
ctaType | string|null | CTA type code |
ctaUrl | string|null | Landing page URL |
displayFormat | string | image, video, carousel, or unknown |
mediaType | string | image, video, or meme |
imageUrls | string[] | Direct CDN image URLs |
videoUrls | object[] | Video objects with hd, sd, preview URLs |
carouselCards | object[] | Carousel card data |
platforms | string[] | Platforms (facebook, instagram, etc.) |
isActive | boolean | Currently running? |
startDate | string|null | Start date (YYYY-MM-DD) |
endDate | string|null | End date (YYYY-MM-DD) |
daysRunning | number|null | Days the ad has been running |
winnerScore | number | 0-100 score (longer running + active + more variants = higher) |
winnerTier | string | high (>=70), medium (>=40), low (<40) |
winnerSignals | string[] | Signals: long_running, still_active, high_variants, etc. |
detectedCtas | string[] | CTA phrases detected in ad text |
hashtags | string[] | Hashtags in ad text |
emojiCount | number | Emoji count in ad text |
wordCount | number | Word count of ad body |
adCategory | string | Auto-detected: ecommerce, lead_gen, app_install, etc. |
spend | object|null | EU spend range: {lower, upper} |
impressions | object|null | EU impression range: {lower, upper} |
euTotalReach | number|null | Total EU reach estimate |
demographicDistribution | array|null | Age/gender breakdown |
containsAiMedia | boolean | AI-generated content flag |
scrapedAt | string | ISO 8601 scrape timestamp |
sourceUrl | string | Source Ad Library URL |
Winner Score
The winner score helps identify proven, high-performing ads:
| Score | Tier | Meaning |
|---|---|---|
| 70-100 | high | Long-running, active, with multiple creative variants — likely a winner |
| 40-69 | medium | Established ad with some signals of success |
| 0-39 | low | New or inactive ad — unproven |
Signals: long_running (60+ days), still_active, high_variants (3+ carousel cards), multiple_variants, proven_active (30+ days AND active).
Pricing
This actor uses Pay-Per-Event pricing:
| Event | Price | Description |
|---|---|---|
| Actor Start | $0.00005 | Charged when the actor starts (1 event per GB memory) |
| Ad Scraped | $0.001 | Charged per ad extracted to the dataset |
Example costs:
- 100 ads = $0.10
- 1,000 ads = $1.00
- 10,000 ads = $10.00
Platform usage costs (compute + proxy) are paid by the user, not subtracted from the actor owner's revenue.
Proxy Requirements
The actor defaults to Apify residential proxies (RESIDENTIAL group), which are required for:
- Scraping more than ~30 ads per search (Facebook rate-limits pagination per IP)
- Accessing country-specific Ad Library content
For heavy bulk scraping, consider providing your own premium residential proxy via the proxyConfiguration field.
Limitations
- The Meta Ad Library is a dynamic SPA — occasional rate limiting may reduce result counts
- EU transparency data (spend, reach, demographics) is only available for ads targeting EU/UK markets
- Instagram follower counts and page "About" data require visiting individual pages (not included in base scraping for speed)
- The Ad Library may not show ads from pages that have been deleted or restricted
Example Input
{"searchTerms": ["running shoes", "fitness app"],"country": "US","adActiveStatus": "ACTIVE","mediaType": "VIDEO","maxResults": 200}
{"pageUrls": ["https://www.facebook.com/nike"],"country": "ALL","adActiveStatus": "ALL","maxResults": 500}
Export scraped data
Export scraped data, run the scraper via API, schedule and monitor runs, or integrate with other tools.
# Run via Apify CLIapify run USERNAME/facebook-ads-library-scraper --input='{"searchTerms":["nike"],"maxResults":50}'# Get resultsapify dataset get-default --format=json
What is Facebook Ads Library Scraper?
Facebook Ads Library Scraper turns the target data into structured, reusable results on Apify. Use it when you need repeatable collection for analysts, developers, agencies, researchers, and AI-agent workflows without maintaining a custom scraper or one-off integration. Run it manually, schedule recurring jobs, call it through the Apify API, or connect it to an AI agent through the Apify MCP server.
The Actor stores results in an Apify dataset, where they can be previewed and exported as JSON, CSV, Excel, XML, or RSS. Availability and completeness depend on the source, supplied inputs, public visibility, authentication requirements, and upstream rate limits.
Use cases for Facebook Ads Library Scraper
- Build structured datasets for research, reporting, enrichment, or monitoring.
- Automate repetitive collection with schedules, webhooks, and API calls.
- Feed clean records into spreadsheets, databases, CRMs, BI tools, AI agents, or RAG pipelines.
- Track changes over time by running the same validated input on a schedule.
- Replace fragile manual copy-and-paste work with a reproducible Apify workflow.
How to use Facebook Ads Library Scraper
- Open the Actor input page and choose a focused, valid target.
- Set a conservative result limit for the first run.
- Start the Actor and inspect the dataset for coverage and field availability.
- Export the results or connect the dataset to your downstream system.
- Scale gradually and use scheduling, pagination, or proxies when supported.
Important input options
searchTerms— Keywords to search for in the Ad Library (e.g. 'nike', 'running shoes', 'crypto trading'). Each keyword runs as a separate search. Use this when the user provides a topic, niche, or productpageUrls— Facebook Page URLs (e.g. https://www.facebook.com/nike) or numeric page IDs. Returns every public ad run by that advertiser. Use this when the user provides a specific brand's Facebook page.adLibraryUrls— Paste full Meta Ad Library URLs (https://www.facebook.com/ads/library/?...) with filters already configured in the URL. Useful when you've set up a search in the Ad Library UI and want to sccountry— Country whose Ad Library to query. Use 'ALL' to search every country at once. Applied to search terms and page URLs. Ad Library URLs use whatever country is encoded in the URL.adActiveStatus— Filter by whether ads are currently running. 'ACTIVE' = still being delivered, 'INACTIVE' = stopped, 'ALL' = both.adType— Meta groups ads into transparency categories. 'ALL' covers every public ad. Political, Housing, Employment, and Credit ads have additional spend/reach disclosures.mediaType— Restrict results by creative format. 'ALL' includes every format.maxResults— Maximum number of ads to collect across all sources combined. Set to 0 or leave high for unlimited. Each ad is billed at the 'result-item' rate.
API and automation example
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: process.env.APIFY_TOKEN });const run = await client.actor('muhammadafzal/facebook-ads-library-scraper').call({// Add the same input fields you use in the Apify Console.});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
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Frequently asked questions
How many results can I scrape with Facebook Ads Library Scraper?
The practical total depends on the source, input limits, pagination, available records, run timeout, and upstream restrictions. Start with a small run, verify the output, and increase the limit gradually.
Can I integrate Facebook Ads Library Scraper with other apps?
Yes. Use Apify integrations, webhooks, schedules, dataset exports, Make, Zapier, Google Sheets, cloud storage, or your own application.
Can I use Facebook Ads Library Scraper with the Apify API?
Yes. Start runs with the Apify REST API or an official Apify client, then retrieve records from the run's default dataset. Keep your API token in a secret or environment variable.
Can I use Facebook Ads Library Scraper through an MCP Server?
Yes. The Apify MCP server can expose the Actor to compatible AI clients and agents. Review the input and expected cost before allowing an autonomous workflow to run it at scale.
Do I need proxies?
It depends on the source and volume. Use the default configuration first. For larger or geographically sensitive jobs, select an appropriate proxy configuration only when the Actor supports it.
Is it legal to scrape this data?
Scraping rules vary by source, jurisdiction, data type, and intended use. Collect only data you are authorized to access, respect applicable terms and privacy laws, and avoid restricted or personal data misuse. This documentation is not legal advice.
Your feedback
If a field is missing, a source layout has changed, or you need a supported use case documented, open an issue on the Actor page with a reproducible input and run ID.