prakhar1114/ai_mime_marketplace/facebook-data-extractor

Claude Code and agent skill by prakhar1114/ai_mime_marketplace

Trust tier 3
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Source check pending

Checking that the SKILL.md file is still in the repository.

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.

Install

npx vskill@latest install prakhar1114/ai_mime_marketplace/facebook-data-extractor

SKILL.md

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

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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