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apify-ultimate-scraper

Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.

68

Quality

84%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable skill body that earns its tokens with executable commands and clear progressive disclosure to verified reference files. Workflow sequencing is strong with only minor error-recovery explicitness gaps.

DimensionReasoningScore

Conciseness

Lean and rule-dense with no over-explanation of concepts Claude already knows; the 14-row workflow table is justified navigation rather than padding, though a few inline notes could still be trimmed.

4 / 5

Actionability

Fully executable, copy-paste-ready apify CLI commands with required flags (--json, --user-agent, 2>/dev/null) and concrete output-field parsing guidance (.id, .status, .defaultDatasetId, .stats.durationMillis) across the common cases.

5 / 5

Workflow Clarity

A clear 4-step sequence (select Actor, fetch schema/check gotchas, configure and run, deliver) with checkpoints (gotchas check, SUCCEEDED polling, auth-error recovery); batch validation is present so the destructive/batch cap does not apply, but error-recovery feedback loops could be more explicit.

4 / 5

Progressive Disclosure

A concise overview pointing one level deep to real, verified bundle files (references/actor-index.md, references/gotchas.md, and 14 references/workflows/*.md) via a task-to-file routing table; navigation is easy and content is appropriately split.

5 / 5

Total

18

/

20

Passed

Description

82%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, platform-rich description that pairs concrete scraping targets with an explicit use-case trigger list, marred only by limited action-verb variety and mild 'universal/any' fluff. Trigger-term coverage is excellent.

DimensionReasoningScore

Specificity

Enumerates ~12 concrete platforms (Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp) plus '15+ more' and ~12 use cases, but the action vocabulary is limited to 'Scrape data'/'Use for' and 'Universal AI-powered...any platform' is mild fluff.

4 / 5

Completeness

Clearly answers 'what' (scrape data from named platforms) and provides equivalent explicit trigger guidance via 'Use for [use-case list]', but lacks a 'Use when.../when the user mentions...' utterance-style trigger clause, so it sits just below the anchor-5 example.

4 / 5

Trigger Term Quality

Comprehensive natural-language coverage of platform names and use-case phrases users would actually say, with synonym awareness via 'X/Twitter'; strong on 'lead generation, brand monitoring, competitor analysis, influencer discovery, SEO intelligence, recruitment'.

5 / 5

Distinctiveness Conflict Risk

The Apify multi-Actor web-scraping niche is reasonably distinct with platform-specific triggers, but 'any platform' and 'any data extraction task' broaden it enough to create minor overlap risk with other scraping skills.

4 / 5

Total

17

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 14 deeper-than-1-level

Warning

Total

15

/

16

Passed

Repository
apify/agent-skills
Reviewed

Table of Contents

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