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Meta Ad Library Search

Free

Efficiently extract ad data from Meta's Ad Library.

by browser-act5.3k stars on browser-act/skills
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Updated Aug 5, 2026
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Free · Opens the source repo

What Meta Ad Library Search does

The Meta Ad Library Search skill allows users to efficiently search for advertisements across Facebook, Instagram, and WhatsApp using either specific keywords or Facebook page IDs. This skill is particularly useful for marketers, advertisers, and researchers looking to analyze ad performance, understand competitor strategies, or monitor brand advertising activities. By leveraging the data already available on the Meta Ad Library, this skill automates the process of retrieving structured ad details, saving users time and effort.

Users can initiate searches by providing a keyword or a Facebook page ID. The skill returns comprehensive information about the ads, including creatives, copy, call-to-action (CTA) details, publisher platforms, and various metrics such as estimated spend and reach. This functionality is valuable for those conducting competitive analysis or wanting to gain insights into advertising trends within specific industries or regions.

The skill operates by executing Python scripts that interact with the Meta Ad Library, ensuring that all data extraction is performed in compliance with the platform's access controls. It does not require user authentication, making it accessible for quick ad searches. The results are structured in a JSON format, allowing for easy integration with other tools or further analysis.

Overall, the Meta Ad Library Search skill is an essential tool for anyone involved in digital marketing or advertising research, providing a straightforward method to access and analyze ad data without the need for manual data collection.

When to use it

Use this skill when you need to gather detailed information about ads on Facebook, Instagram, or WhatsApp for analysis or monitoring.

When not to use it

This skill is not suitable for accessing private ad data or for users who require detailed metrics that are often not disclosed by Meta.

What you can build with it

Competitor Analysis

Use this skill to gather information on competitors' advertising strategies by searching for ads related to specific keywords.

Brand Monitoring

Set up searches for your brand's Facebook page to monitor ongoing advertising campaigns and their performance metrics.

Political Ad Research

Research political ads by searching for specific issues or candidates to understand their advertising strategies.

How to install Meta Ad Library Search

View source

1. Install with the skills CLI

npx skills add browser-act/skills/facebook-ads-library-search --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by browser-act

Meta Ad Library — Search Ads

keyword or page ID → ad list with creatives, metrics, and pagination cursor

Language

All process output to user (progress updates, process notifications) follows the user's language.

Objective

Fetch ads from Meta Ad Library for a keyword search or a specific Facebook page, returning structured ad data with all available fields.

Prerequisites

  • Browser is open on any Facebook page: https://www.facebook.com/
  • No login required for this capability

Pre-execution Checks

1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke browser-act via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

Capability Components

This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the scripts/ directory, invoked via eval "$(python scripts/xxx.py {params})". $(...) is bash syntax; it is recommended to use the bash tool for execution.

Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read scripts/*.py source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.

API: search ads by keyword

eval "$(python scripts/search-ads.py --query '{keyword}' --country {country} --first {count})"

Parameters:

  • --query: keyword to search (mutually exclusive with --page-id)
  • --country: 2-letter ISO country code or ALL, default ALL
  • --active-status: active | inactive | all, default active
  • --ad-type: ALL | POLITICAL_AND_ISSUE_ADS | HOUSING_ADS, default ALL
  • --media-type: all | image | video | meme, default all
  • --platforms: space-separated list, e.g. facebook instagram, default all platforms
  • --cursor: pagination cursor from previous response's end_cursor, default first page
  • --first: number of ads to return per page, default 10

Output example:

{
  "error": false,
  "count": 10,
  "has_next_page": true,
  "end_cursor": "AQHSmvKYSBolzAS9Wq8VSnt4...",
  "ads": [
    {
      "ad_archive_id": "1869276447125570",  // unique ad archive ID
      "ad_id": null,                         // ad ID (null for some ads)
      "page_id": "15087023444",              // advertiser's Facebook page ID
      "page_name": "Nike",                   // advertiser's page name
      "page_profile_uri": "https://facebook.com/nike",
      "page_profile_picture_url": "https://scontent.xx.fbcdn.net/...",
      "is_active": true,                     // whether ad is currently running
      "start_date": 1773730800,              // ad start date (unix timestamp)
      "end_date": 1779692400,                // ad end date (unix timestamp), null if still active
      "publisher_platform": ["facebook", "instagram"],  // platforms the ad runs on
      "currency": "USD",                     // spend currency, null if not disclosed
      "spend": null,                         // estimated spend range, null if not disclosed
      "impressions_with_index": null,        // impression estimate, null if not disclosed
      "reach_estimate": null,                // reach estimate, null if not disclosed
      "categories": [],                      // ad categories
      "contains_sensitive_content": false,
      "body": "Get the gear that never misses.",  // main ad body text
      "caption": "nike.com",                // ad caption
      "title": "Nike Air Monarch IV",        // ad title
      "cta_text": "Shop Now",               // CTA button text
      "cta_type": "SHOP_NOW",               // CTA button type
      "link_url": "https://www.nike.com/...",// destination URL
      "display_format": "carousel",          // ad format
      "cards": [...],                        // carousel cards (each has body, title, cta_type, link_url, original_image_url, video_hd_url)
      "images": [...],                       // image creatives
      "videos": [...]                        // video creatives
    }
  ]
}

API: search ads by page ID

eval "$(python scripts/search-ads.py --page-id '{page_id}' --country {country} --first {count})"

Parameters:

  • --page-id: Facebook page ID (mutually exclusive with --query). To find a page ID: navigate to the Facebook page, the ID appears in the URL or in the page's "About" section
  • All other parameters same as keyword search above

Output example: same structure as keyword search above.

Enum Parameters

--active-status: active | inactive | all

--ad-type: ALL | POLITICAL_AND_ISSUE_ADS | HOUSING_ADS

--media-type: all | image | video | meme

--platforms: facebook | instagram | whatsapp | messenger | audience_network | threads (pass multiple values space-separated)

--country: ISO 2-letter country code (e.g. US, GB, DE, ALL) [collection partially done — full list of supported country codes follows ISO 3166-1 alpha-2 standard]

Pagination

API Pagination: --cursor, type: cursor, start value: omit for first page. Next page value source: end_cursor field in response. Termination: has_next_page: false.

Success Criteria

error = false AND count >= 0 AND has_next_page field present

(count may be 0 for valid queries that return no results; this is not an error)

Known Limitations

  • spend, impressions_with_index, reach_estimate fields are frequently null — Meta only discloses these for political/social issue ads or at their discretion
  • ad_id is often nullad_archive_id is the reliable unique identifier
  • Rate limiting may occur with very high-frequency requests; add 1-2 second delays between requests in batch scripts
  • Private or restricted ads may not appear in results
  • The doc_id (27201872659451053) is a compiled query ID that may change when Meta updates their frontend; if errors occur, re-explore to find the updated ID

Execution Efficiency

  • Batch orchestration: Write a bash script to loop through the command templates serially within a single session; do not parallelize within one browser (prone to triggering anti-scraping restrictions). Refer to rate information in "Known Limitations" above to add appropriate intervals. To increase throughput, open multiple stealth browser sessions and distribute work across them — each session has an independent fingerprint so rate limits apply per session
  • Test before batch execution: After writing a batch script, you must first test with 1-2 items to verify the script runs correctly; only then run the full batch. Never skip testing and execute in batch directly
  • Reduce redundant pre-operations: When multiple steps depend on the same prerequisite state, complete them in batch under that state to avoid repeatedly establishing the same state
  • Error resumption: Save results item by item during batch processing; on failure, resume from the breakpoint rather than starting over

Experience Notes

Path: {working-directory}/browser-act-skill-forge-memories/facebook-ads-scraper-facebook-ads-library-search.memory.md (working directory is determined by the Agent running the Skill, typically the project root or current working directory)

Before execution: If the file exists, read it first — it records unexpected situations encountered during past executions (e.g., a strategy has become ineffective); adjust strategy order accordingly.

After execution: If an unexpected situation is encountered (strategy became ineffective, page redesigned, anti-scraping upgraded, better path discovered), append a line: {YYYY-MM-DD}: {what happened} -> {conclusion}

Normal execution does not write to the file. Do not record what keywords were used or how many results were returned — those are task outputs, not experience.

Frequently asked questions about Meta Ad Library Search

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