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meta-ad-scraper元广告刮刀

Agent Skill

meta-ad-scraper 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

306

周安装

13

GitHub Stars

607

下载量

107
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meta-ad-scraper(元广告刮刀)
来源仓库:https://github.com/athina-ai/goose-skills
仓库路径:skills/meta-ad-scraper
安装命令:
npx skills add https://github.com/athina-ai/goose-skills --skill meta-ad-scraper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/athina-ai/goose-skills --skill meta-ad-scraper

简介

meta-ad-scraper 用于处理浏览器自动化、网页检查和页面信息提取。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中让 Agent 打开页面、读取网页或验证前端流程。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,注意是否涉及联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Meta Ad Library Scraper

Scrape ads from Meta's Ad Library using the Apify apify/facebook-ads-scraper actor. Covers Facebook, Instagram, Messenger, Threads, and WhatsApp.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

# Search ads by company name
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Nike"

# Search with country filter
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Shopify" --country US

# Search by keyword (broader than company name)
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "project management software"

# Limit results
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "HubSpot" --max-ads 20

# Search by Facebook Page URL directly
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --page-url "https://www.facebook.com/nike"

# Only active ads (default), or all ads
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Salesforce" --ad-status all

# Human-readable summary
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Stripe" --output summary

How It Works

  1. Takes a company name, keyword, or Facebook Page URL
  2. Constructs a Meta Ad Library URL with the search query and filters
  3. Calls the Apify apify/facebook-ads-scraper actor via REST API
  4. Polls until the run completes, then fetches the dataset
  5. Parses and outputs ad data as JSON or human-readable summary

Resolving Company Name → Ads

The script handles the advertiser lookup automatically:

  • Company name: Constructs a search URL like facebook.com/ads/library/?q=CompanyName — the Apify actor searches Meta's Ad Library for matching advertisers
  • Page URL: If you have the Facebook Page URL, pass it via --page-url for exact matching
  • Domain: You can also pass a domain and the script will search for it

No need to manually find Page IDs. The Apify actor resolves the search internally.

CLI Reference

FlagDefaultDescription
--company*required**Company name or keyword to search
--page-urlnoneFacebook Page URL for exact advertiser match
--countryALL2-letter country code (US, GB, DE, etc.) or ALL
--ad-statusactiveactive or all (includes inactive)
--max-ads50Maximum number of ads to return
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max seconds to wait for the Apify run

*Either --company or --page-url is required.

Output Fields

Each ad in the output contains:

{
  "ad_id": "123456789",
  "page_name": "Nike",
  "page_id": "123456789",
  "ad_text": "Just Do It. Shop the latest...",
  "ad_creative_link_title": "Nike.com",
  "ad_creative_link_description": "Free shipping on orders...",
  "ad_creative_link_url": "https://nike.com/...",
  "image_url": "https://...",
  "video_url": "https://...",
  "ad_delivery_start_time": "2026-01-15",
  "ad_delivery_stop_time": null,
  "currency": "USD",
  "spend_lower": 100,
  "spend_upper": 499,
  "impressions_lower": 1000,
  "impressions_upper": 4999,
  "platforms": ["facebook", "instagram"],
  "status": "ACTIVE"
}

Cost

~$5 per 1,000 ads scraped on Apify Free plan. Paid plans are cheaper ($3.40-$5/1K).

Common Workflows

1. Competitor Ad Research

python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "Competitor Name" --country US --max-ads 100 --output summary

2. Industry Ad Landscape

# Search by keyword to see all advertisers in a space
python3 skills/meta-ad-scraper/scripts/search_meta_ads.py \
  --company "CRM software" --max-ads 50

3. Compare Multiple Competitors

Run the script multiple times for each competitor and compare creative approaches, messaging, and spend ranges.

Important Notes

  • EU/UK ads are most complete: Meta archives all ads shown in EU/UK. For US-only ads, coverage may be limited to political/issue ads.
  • Active vs All: By default only active ads are returned. Use --ad-status all to include historical ads.
  • Rate limits: Apify handles rate limiting internally. For large scrapes, increase --timeout.

Configuration

See references/apify-config.md for detailed API configuration, token setup, and rate limits.

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

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能力概览

能力 1

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能力 2

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能力 3

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能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.16%
按下载量换算39

Claude

28.01%
按下载量换算30

Cursor

17.93%
按下载量换算19

Gemini CLI

9.36%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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