Meta Ads
hoodini/ai-agents-skills
Pull, analyze, manage, and CREATE Meta ads (Facebook, Instagram, Messenger, Threads, Click-to-WhatsApp) via the Marketing API.
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…
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install browser-act/skills facebook-ads-library-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .claude/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .claude/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install browser-act/skills facebook-ads-library-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .agents/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .agents/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install browser-act/skills facebook-ads-library-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .cursor/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .cursor/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/browser-act/skills.git --path solutions/social-listening/facebook-ads-library-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install browser-act/skills facebook-ads-library-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .gemini/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .gemini/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install browser-act/skills facebook-ads-library-searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .github/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .github/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add browser-act/skills --skill facebook-ads-library-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install browser-act/skills facebook-ads-library-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/browser-act/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/solutions/social-listening/facebook-ads-library-search .opencode/skills/facebook-ads-library-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "facebook-ads-library-search" agent skill from https://github.com/browser-act/skills/tree/main/solutions/social-listening/facebook-ads-library-search into .opencode/skills/facebook-ads-library-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "facebook-ads-library-search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
facebook-ads-library-searchSearches 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…
Facebook Ads Library Search is an agent skill from browser-act/skills. 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…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/search-ads.py`).
It sits in Marketing & SEO, covering Paid advertising and Web scraping. It works with Meta Ads, Instagram, WhatsApp and Python. The repository describes itself as: Browser automation CLI built for AI agents. Break through anti-bot walls, hand off to humans across platforms when stuck. Parallel multi-task execution, independent multi-session… The licence is MIT.
Read from SKILL.md and the folder at commit 11c057b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
facebook.comscontent.xx.fbcdn.netnike.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Facebook Ads Library Search loads about 2.3k tokens when it runs. Until then it costs about 181 tokens; SKILL.md has 814 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from browser-act/skills at commit 11c057b, republished under its MIT licence (© browser-act). 814 words, ~2,252 tokens.
.claude/skills/facebook-ads-library-search/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.keyword or page ID → ad list with creatives, metrics, and pagination cursor
All process output to user (progress updates, process notifications) follows the user's language.
Fetch ads from Meta Ad Library for a keyword search or a specific Facebook page, returning structured ad data with all available fields.
https://www.facebook.com/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.
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 viaeval "$(python scripts/xxx.py {params})".$(...)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.
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 10Output 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
}
]
}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" sectionOutput example: same structure as keyword search above.
--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]
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.
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)
spend, impressions_with_index, reach_estimate fields are frequently null — Meta only discloses these for political/social issue ads or at their discretionad_id is often null — ad_archive_id is the reliable unique identifierdoc_id (27201872659451053) is a compiled query ID that may change when Meta updates their frontend; if errors occur, re-explore to find the updated IDPath: {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.
© browser-act, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in solutions/social-listening/facebook-ads-library-search of browser-act/skills.
Open the folder on GitHubat commit 11c057b
Facebook Ads Library Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Facebook Ads Library Search this skillbrowser-act/skills | 6.1k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Meta Adshoodini/ai-agents-skills | 282 | — | ~4.2k | Automated safety check: Notes | None | |
| Meta Ad Builderkrusemediallc/arcads-claude-code | 1.6k | — | ~1.7k | Automated safety check: Notes | MIT | |
| Mena Adsgrowthack88/growth-marketing-os | 116 | — | ~2.5k | Automated safety check: Pass | MIT | |
| AdsCesarjoquin/Marketing-Skills | 202 | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Adscoreyhaines31/marketingskills | 54k | 1 repos | ~7k | Automated safety check: Pass | MIT |
hoodini/ai-agents-skills
Pull, analyze, manage, and CREATE Meta ads (Facebook, Instagram, Messenger, Threads, Click-to-WhatsApp) via the Marketing API.
krusemediallc/arcads-claude-code
Publish finished creatives as live Meta (Facebook/Instagram) ads via the Meta Marketing API, plus research and ad-copy support.
growthack88/growth-marketing-os
MENA Ads Command Center — a complete paid-ads operating system for the Arab world (Egypt, KSA, UAE, GCC, Levant, North Africa) and global accounts.
Cesarjoquin/Marketing-Skills
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
coreyhaines31/marketingskills
When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
LeoYeAI/openclaw-marketing-skills
Connect to Meta Marketing API to pull real Facebook and Instagram ad data — campaign performance, creative fatigue, audience saturation, ROAS by ad set, frequency analysis, and Learning Phase status.
browser-act/skills
Fetches structured Amazon product details such as title, price, ratings and availability for a given ASIN through BrowserAct's lookup API template.
browser-act/skills
Extracts structured Amazon product data for a keyword and marketplace through the BrowserAct API, including titles, prices, ratings, reviews, sales volume and promotions.
browser-act/skills
Pulls Amazon product details, competing seller prices and seller ratings for a given ASIN through the BrowserAct API, without browser automation.
browser-act/skills
Analyzes a competitor's Amazon listing by ASIN with BrowserAct data extraction, then reports what it does well, where the market has gaps and opportunity points for your own listing.
browser-act/skills
Pulls structured Amazon search results (titles, ASINs, prices, ratings, specifications) for a keyword and brand through BrowserAct's Amazon Product API template.
browser-act/skills
Collects structured product data from Amazon search results for a keyword and optional brand, using a BrowserAct script, for market and competitor research.
Categories
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…. Facebook Ads Library Search is an agent skill from browser-act/skills. 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.
Facebook Ads Library Search fits situations like: user mentions Meta Ad Library; facebook ads scraper; instagram ads data; search Facebook ads.
Run `npx skills add browser-act/skills --skill facebook-ads-library-search -a claude-code`. Or copy the skill folder (solutions/social-listening/facebook-ads-library-search in browser-act/skills) into .claude/skills/facebook-ads-library-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add browser-act/skills --skill facebook-ads-library-search -a codex`. Or copy the skill folder (solutions/social-listening/facebook-ads-library-search in browser-act/skills) into .agents/skills/facebook-ads-library-search in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add browser-act/skills --skill facebook-ads-library-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/facebook-ads-library-search, .gemini/skills/facebook-ads-library-search, .github/skills/facebook-ads-library-search and .opencode/skills/facebook-ads-library-search in your project.
Going by SKILL.md and its folder, Facebook Ads Library Search needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: facebook.com, scontent.xx.fbcdn.net and nike.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Facebook Ads Library Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Facebook Ads Library Search: Meta Ads (hoodini/ai-agents-skills, 282 stars), Meta Ad Builder (krusemediallc/arcads-claude-code, 1.6k stars), Mena Ads (growthack88/growth-marketing-os, 116 stars) and Ads (Cesarjoquin/Marketing-Skills, 202 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
browser-act (a GitHub organization) maintains it in browser-act/skills, which has 6,126 GitHub stars. The repository holds 87 skills in this directory. The repository was last updated on August 24, 2026.
Source: browser-act/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.