prakhar1114/ai_mime_marketplace/facebook-data-extractor
Claude Code and agent skill by prakhar1114/ai_mime_marketplace
- community
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-extractorSKILL.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 examplehttps://www.facebook.com/groups/1279620962532340days: Number of days back from the run time to include.max_scrollsoptional: Maximum scroll batches, from 5 to 500. Omit for the default. Larger values improve coverage in busy groups but make runs slower.max_hydration_pagesoptional: Maximum number of truncated posts to hydrate in individual tabs, from 0 to 100. Defaults to 5 to save time.
Run
Run with:
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:
Runtime does not create or repair .venv.
Outputs
The skill writes a JSON file under the workflow output directory. Each post includes:
authortimestamp_texttimestamp_isopost_urltextvisible_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 loadedSee morecontrols 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
- SKILL.md in the repositoryCheckingskills/facebook-data-extractor/SKILL.md
Popularity
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