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facebook-data-extractor

Extract visible posts from a Facebook group for the last N days using the AI Mime browser harness and an existing logged-in Facebook Chrome session.

Skill by prakhar1114

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/prakhar1114-facebook-data-extractor

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Extract visible posts from a Facebook group for the last N days using the AI Mime browser harness and an existing logged-in Facebook Chrome session.

Use cases: data

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/facebook-data-extractor

What's inside

Skill name
facebook-data-extractor
Description
Extract visible posts from a Facebook group for the last N days using the AI Mime browser harness and an existing logged-in Facebook Chrome session.
License
MIT
Instructions
81 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (7)

  • SKILL.md
  • current_job.json · inputs/
  • inputs.example.json · inputs/
  • inputs.template.json · inputs/
  • fallback_plan.md · references/
  • run.sh
  • run.py · scripts/

SKILL.md (first lines)

# Facebook Data Extractor

## Preconditions

- Chrome must already be logged in to Facebook.
- The logged-in Facebook account must already be able to view the target group.
- The automation is read-only: it does not post, like, comment, join groups, or send messages.

## Inputs

Provide a JSON file with:

- `group_url`: Facebook group URL, for example `https://www.facebook.com/groups/1279620962532340`
- `days`: Number of days back from the run time to include.
- `max_scrolls` optional: Maximum scroll batches, from 5 to 500. Omit for the default. Larger values improve coverage in busy groups but make runs slower.
- `max_hydration_pages` optional: Maximum number of truncated posts to hydrate in individual tabs, from 0 to 100. Defaults to 5 to save time.

## Run

Run with:

```bash
./run.sh inputs/inputs.example.json
```

`run.sh` uses the first available interpreter in this order: skill `.venv/bin/python`, workflow `.venv/bin/python`, then required `$AI_MIME_PYTHON_PATH`.

This skill has no third-party Python dependencies. If a future version adds `requirements.txt`, use these commands during skill build or manual repair only:

```bash
"$AI_MIME_UV_PATH" venv .venv --python "$AI_MIME_PYTHON_PATH"
"$AI_MIME_UV_PATH" pip install -r requirements.txt --python .venv/bin/python
```

Runtime does not create or repair `.venv`.

## Outputs

The skill writes a JSON file under the workflow output directory. Each post includes:

- `author`
- `timestamp_text`
- `timestamp_iso`
- `post_url`
- `text`
- `visible_engagement`

The top-level output also includes `group_url`, `days`, `cutoff_iso`, `extracted_at`, `post_count`, and diagnostics.

Important diagnostics:

- `coverage_complete`: true only when the run saw posts older than the requested cutoff.
- `hit_max_scrolls`: true when Facebook did not serve enough older feed content before the scroll ceiling.
- `expanded_see_more`: number of loaded `See more` controls clicked before extraction.
- `hydrated_truncated_posts`: number of truncated posts repaired by opening their post URL.
- `truncated_text_posts`: number of output posts whose text still ended with Facebook's truncation ellipsis.

## Progress log format

Progress events are emitted to stderr as JSON lines:

- `{"event":"step_start","id":"...","title":"..."}`
- `{"event":"step_done","id":"...","outputs":{...},"summary":"..."}`
- `{"event":"step_failed","id":"...","error":"...","recoverable":true|false}`
- `{"event":"workflow_done","outputs":{...}}`

The final stdout line is a JSON object containing `output_path` and `post_count`.

## Fallback

If automation fails, read `references/fallback_plan.md`. It contains manual/browser-harness recovery steps, selectors, timestamp reconstruction notes, and access-wall handling.

## ask_llm decision points

None. This skill does not call `ask_llm`.

## References

- `references/fallback_plan.md`

From prakhar1114/ai_mime_marketplace, MIT.

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Last commit (this folder)
Jun 21, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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facebook-data-extractor skill. Agent Mart. https://agentmart.dev/skills/prakhar1114-facebook-data-extractor (last updated 2026-10-24)