Atlas / Skills / browser-act / Facebook Page Posts

Facebook Page PostsSAFE

skills/browser-act/facebook-page-posts

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 operation, isolated multi-account browsing.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
MIT
Stars
6,115
01

Overview

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 operation, isolated multi-account browsing.

Read from source at commit d69029b35077OBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
cursormentioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: facebook-page-posts
description: "Scrapes posts from any public Facebook Page timeline, returning structured data including post text, author info, engagement metrics (likes/comments/shares), reaction breakdowns (like/love/haha/wow/sad/angry/care), hashtags and external links, and media type. Use when user wants to scrape Facebook posts, extract Facebook page content, get Facebook post data, collect Facebook engagement stats, download Facebook posts, monitor a Facebook page, crawl Facebook timeline, get Facebook reactions, get like count/comment count/share count from Facebook, Facebook post bulk export, Facebook social media analytics. Supports date range filtering (afterTime/beforeTime) and cursor-based pagination for bulk collection."
---

# 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
  }
}
```

Error handling: If response contains `"erro
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha d69029b35077full audit observations/trust-audit/skill/browser-act__facebook-page-posts.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08d69029b35077SAFEB89first audit
06

Questions

What does the Facebook Page Posts skill do?

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 operation, isolated multi-account browsing.

Is Facebook Page Posts safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Facebook Page Posts access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Facebook Page Posts work with?

Its documentation mentions cursor. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (d69029b35077), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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