A comprehensive data extraction skill that provides structured JSON access to Facebook pages, groups, ads, and marketplace listings for AI agents.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agntdata-facebook
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agntdata-facebook using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The agntdata Facebook skill is a powerful integration designed to bridge the gap between social media data and AI-driven automation. By wrapping complex Facebook surface areas into a single, unified API, it eliminates the need for developers to manage multiple keys, proxies, or volatile rate limits. This Openclaw Skills compatible tool delivers structured JSON data that is pre-optimized for downstream consumption by Large Language Models (LLMs) and analytical pipelines.
Whether you are scraping public page posts, tracking historical ad archives, or monitoring local marketplace trends, this skill provides a stable and predictable interface. It is particularly effective for developers building social listening agents or creator-intelligence platforms that require live network data without the overhead of maintaining custom scrapers or authenticating individual user accounts.
First, obtain an API key from the agntdata dashboard and set it as an environment variable. Install the skill via ClawHub:
clawhub install agntdata-facebook
export AGNTDATA_API_KEY='your_api_key_here'
Next, activate your key by registering your intended use case:
curl -X POST https://api.agntdata.dev/v1/register \
-H "Authorization: Bearer $AGNTDATA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"intendedApis": ["facebook"], "useCase": "Social listening and market analysis"}'
The skill returns highly structured JSON objects. Below are key data areas covered by the schema:
| Data Type | Description | Key Fields |
|---|---|---|
| Page Posts | Details of public page content | post_id, message, attachment_details |
| Marketplace | Listings for rentals, vehicles, etc. | listing_id, price, latitude, longitude |
| Ad Library | Active and archived advertisements | ad_archive_id, page_id, activeStatus |
| Interactions | Community engagement data | comment_feedback_id, replies, expansion_token |
posts.details.post_id) to reduce payload size and latency.end_cursor management for deep-data extraction from groups and search results.Loading
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