browseract-facebook-ads-library-search

name

browseract-facebook-ads-library-search

description

Searches Meta Ad Library (Facebook/Instagram/WhatsApp ads) by keyword or Facebook page ID and extracts ad details including creatives, copy, CTA, publisher platforms, spend, impressions, reach estimates, and page transparency info. Use when user mentions Meta Ad Library, Facebook ads scraper, Instagram ads data, FB ad library, search Facebook ads, get ads from a Facebook page, scrape Meta ads, Facebook advertising data, ad creative extraction, competitor ads analysis, brand ads monitoring, Meta advertising transparency, political ads Facebook, housing ads Facebook, view all ads from a page, facebook ads search, fb ads library api, facebook ad archive, instagram ad data, get ad creatives.

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":                      
                     
                       
          
                            
                                
               
                       
                             
       
         
                       
               
                      
                      
       
                 
       ...                        
       ...                       
       ...                        
    
  

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 null — ad_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.