Apify
Apify is a Web scraping & data collection skill for AI agents, published by danielmiessler in the LifeOS repository on GitHub. Skillspace rates Apify C (76/100) and it passed the safety scan; a judge model has also reviewed it.
Scrapes social platforms, business data, and e-commerce via Apify actors — Instagram, LinkedIn, TikTok, YouTube, Facebook, Google Maps, Amazon, and web crawls — filtering in code. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Facebook, Google Maps leads, Amazon reviews, business intelligence, multi-platform social listening, competitive analysis, lead generation, social monitoring, Apify actors, web crawl, extract contacts. NOT FOR X/Twitter operations (use _X), 4-tier progressive scraping with proxy escalation (use BrightData), or real-Chrome bot bypass and computer use (use Interceptor).
- Grade
- C
- Quality
- 76 / 100
- Safety
- Passed
- GitHub stars
- 16,717
Placed #2 of 2 when judged against its near-duplicates in Web scraping & data collection.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 88 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Scraping through Apify actors, a public platform
Judge review
Placed #2 of 2 when judged against its near-duplicates in Web scraping & data collection.
- Trigger
88 88 - Instructions
82 82 - Specificity
82 82 - Safety
52 52 - Disclosure
62 62 - Maintenance
68 68
A credible code-first token-filtering pattern with real examples and a monthly actor health-check habit, but bulk contact extraction from social platforms for lead generation gets no ToS or privacy caveat, plus the same mandatory silent notification call.
What the scanner flagged
- mentions secrets in text
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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