facebook-page-profile-posts

Files (3)

• SKILL.md
• get-page-id.py · scripts/
• get-page-posts.py · scripts/

SKILL.md (first lines)

# Facebook — Page / Profile Posts Scraper

> Facebook page or profile URL → list of posts with full fields including media thumbnails, author profile pics, page ad library status, and flat reaction counts

## Language

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

## Objective

Extract posts from a public Facebook Page or personal Profile timeline, including post content, engagement counts, full reaction breakdown, media thumbnails, author profile picture, page ad library status, and text references (hashtags/links).

## Prerequisites

- The target Facebook page or profile is open in the browser (e.g., `https://www.facebook.com/cern`)
- User is logged into Facebook (user avatar visible in the top right)

## 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.

### 2. Login Verification

If login status for Facebook has been confirmed in the current session → skip this step.

Otherwise: navigate to `https://www.facebook.com` and check:
- User avatar or name visible in top right → logged in, continue
- Login button visible → not logged in, inform the user and assist with login

User refuses or cannot log in → terminate execution.

## 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. 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.

### API: Resolve Facebook page URL to numeric page ID

`eval "$(python scripts/get-page-id.py '{page_url}')"`

Parameters:
- `page_url`: Full Facebook page or profile URL, e.g. `https://www.facebook.com/cern`

**Must run while the target page is open** (or any Facebook page is open) so the browser has Facebook cookies.

Output example:
```json
{
  "pageId": "100064792144187",
  "pageUrl": "https://www.facebook.com/cern"
}
```

Error handling: If `pageId` is not found (page not found or not logged in), verify login status and that the URL is a valid Facebook page.

### API: Fetch posts from page/profile timeline

`eval "$(python scripts/get-page-posts.py '{page_id}' --page-url '{page_url}' --cursor '{cursor}' --after-time {after_time} --before-time {before_time} --count {count})"`

Parameters:
- `page_id`: Numeric Facebook page/profile ID (from get-page-id above)
- `--page-url`: Original input URL (used for `facebookUrl`, `inputUrl`, `pageName` fields); omit if not needed
- `--cursor`: Pagination cursor string from previous response `pagination.endCursor`; omit or pass `null` for first page
- `--after-time`: Unix timestamp (seconds); only return posts after this time; omit or pass `null` for no filter
- `--before-time`: Unix timestamp (seconds); only return posts before this time; omit or pass `null` for no filter
- `--count`: Number of posts per batch, default `5`, max recommended `10`

Output example:
```json
{
  "posts": [
    {
      "facebookUrl": "https://www.facebook.com/cern",
      "postId": "1417704873732571",
      "pageName": "cern",
      "url": "https://www.facebook.com/cern/posts/pfbid0n87...",
      "time": "2026-05-22T14:30:18.000Z",
      "timestamp": 1779460218,
      "user": {
        "id": "100064792144187",
        "name": "CERN",
        "profileUrl": "https://www.facebook.com/cern",
        "profilePic": "https://scontent-lax3-1.xx.fbcdn.net/v/t39.30808-1/..."
      },
      "collaborators": [],
      "text": "Post text content here...",
      "textReferences": [
        { "type": "ExternalUrl", "url": "https://home.cern/...", "offset": 731, "length": 96 },
        { "type": "Hashtag", "url": "https://www.facebook.com/hashtag/espp", "offset": 296, "length": 5 }
      ],
      "link": "https://home.cern/...",
      "likes": 1285,
      "comments": 45,
      "shares": 125,
      "topReactions": [
        { "name": "Like", "count": 1167 },
        { "name": "Love", "count": 98 },
        { "name": "Care", "count": 9 },
        { "name": "Wow", "count": 8 },
        { "name": "Haha", "count": 1 },
        { "name": "Sad", "count": 1 },
        { "name": "Angry", "count": 1 }
      ],
      "topReactionsCount": 1285,
      "reactionLikeCount": 1167,
      "reactionLoveCount": 98,
      "reactionCareCount": 9,
      "reactionWowCount": 8,
      "reactionHahaCount": 1,
      "reactionSadCount": 1,
      "reactionAngryCount": 1,
      "media": [
        {
          "__typename": "Photo",
          "id": "1417649567071435",
          "thumbnail": "https://scontent-lax3-1.xx.fbcdn.net/v/t39.30808-6/...",

From browser-act/skills, MIT.

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