facebook-page-posts

Files (3)

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

SKILL.md (first lines)

# Facebook — Page Posts Scraper

> Facebook page URL → list of posts with full engagement metrics and text references

## Language

All process output to user (progress updates, process notifications) must be in English.

## Objective

Extract posts from a public Facebook Page timeline, including post content, engagement counts, reaction breakdowns, and text references (hashtags/links).

## Prerequisites

- The target Facebook page 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 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",   // Numeric page ID used in all subsequent API calls
  "pageUrl": "https://www.facebook.com/cern"
}
```

### API: Fetch posts from page timeline

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

Parameters:
- `page_id`: Numeric Facebook page ID (from get-page-id above)
- `--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": [
    {
      "postId": "1417704873732571",                        // Numeric post ID
      "url": "https://www.facebook.com/cern/posts/pfbid…", // Post permalink
      "text": "CERN Council updates European Strategy…",   // Full post text
      "textReferences": [
        {
          "type": "ExternalUrl",                           // "ExternalUrl" or "Hashtag"
          "url": "https://home.cern/...",                  // Clean URL (not l.facebook.com redirect)
          "offset": 731,                                   // Position in text
          "length": 96
        },
        {
          "type": "Hashtag",
          "url": "https://www.facebook.com/hashtag/espp",
          "offset": 296,
          "length": 5
        }
      ],
      "creationTime": 1779460218,                          // Unix timestamp (seconds)
      "user": {
        "id": "100064792144187",                           // Page numeric ID
        "name": "CERN",                                    // Page display name
        "profileUrl": "https://www.facebook.com/cern"     // Page URL
      },
      "likes": 1220,                                       // Total reactions count
      "comments": 44,                                      // Comment count
      "shares": 122,                                       // Share count
      "topReactions": [
        { "name": "Like",  "count": 1108 },
        { "name": "Love",  "count": 92 },
        { "name": "Care",  "count": 9 },
        { "name": "Wow",   "count": 8 },
        { "name": "Haha",  "count": 1 },
        { "name": "Sad",   "count": 1 },
        { "name": "Angry", "count": 1 }
      ],
      "topReactionsCount": 1220,                           // Same as likes, total reactions
      "media": {
        "type": "Photo",                                   // "Photo", "Video", or null for text-only
        "id": "photo_id_string",                           // Media asset ID
        "viewsCount": null                                 // Video view count; null for photos
      },
      "feedbackId": "ZmVlZGJhY2s6MTQxNzcw…"               // Base64 feedback ID
    }
  ],
  "pagination": {
    "endCursor": "Cg8Ob3JnYW5pY19jd…",                   // Pass to --cursor for next page
    "hasNextPage": true                                    // false when no more posts

From browser-act/skills, MIT.

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