Star200+

Scrapegraph AI

REVIEW · 75
Community indexed

Python scraper based on AI

Verified installs1
Stars27.2K
Version1.0.0
Quality100/100 · Excellent
Trust75/100 · Sandbox only
Audit92/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add ScrapeGraphAI/Scrapegraph-ai

Maintenance

active

2mo since push

Risk

Safe to try

Documentation summary is thin

GitHub quality

27K

100/100 Quality · 88/100 Trust

Coverage tags

ResearchRAG and knowledgeweb-automationscrapingcrawler

Review notes

Documentation summary is thin · README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Sandbox only
75

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try
92

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Agent install candidate

Run only in a sandbox and compare close alternatives before using it for real work.

PythonWeb AutomationCodexClaude CodeCursor

Stars

27K GitHub stars

Repo activity

27K stars, 2.6K forks

Maintenance

2mo since push

License

MIT

Install

npx skills add ScrapeGraphAI/Scrapegraph-ai

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

Early agent signal: 100% success from 1 agent outcomes

Docs

Thin public metadata

Risk summary

Review before production

  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
  • Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • Early agent signal (47/100 Agent Proven)

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Web scraping workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Crawl target URLs

Suited agents

PythonWeb AutomationCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add ScrapeGraphAI/Scrapegraph-ai
Policy
review
Human review
yes

Trust and risk

Trust
75/100
Audit
92/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add ScrapeGraphAI/Scrapegraph-ai
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

Alternative

Crawl4AI

73.1K Stars

npx skills add unclecode/crawl4ai

Alternative

Page Agent

28.6K Stars

npx skills add alibaba/page-agent

Alternative

Scrapling

70.0K Stars

npx skills add D4Vinci/Scrapling

Alternative

Scrapy

62.5K Stars

npx skills add scrapy/scrapy

Agent safety v2

72/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Documentation summary is thin

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install scrapegraphai-scrapegraph-ai

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Scrapegraph%20AI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Scrapegraph%20AI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/scrapegraphai-scrapegraph-ai/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Scrapegraph AI in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Scrapegraph%20AI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/scrapegraphai-scrapegraph-ai/install
Install command: npx skills add ScrapeGraphAI/Scrapegraph-ai
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/scrapegraphai-scrapegraph-ai/install

LLM text format

/api/skills/scrapegraphai-scrapegraph-ai/install?format=text

Find alternatives

/api/skills/search?q=Scrapegraph%20AI&limit=3

Agent prompt

Use Scrapegraph AI for this task. Review https://www.openagentskill.com/api/skills/scrapegraphai-scrapegraph-ai/install, then install with: npx skills add ScrapeGraphAI/Scrapegraph-ai

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/scrapegraphai-scrapegraph-ai

LLM text

/api/registry/manifest/scrapegraphai-scrapegraph-ai?format=text

Install alias

/api/registry/install/scrapegraphai-scrapegraph-ai

Recommend

/api/registry/recommend?task=Use%20Scrapegraph%20AI%20in%20an%20agent%20workflow&limit=3

Agent fit

100/100

Web scraping

Use-case tags

Web scrapingBrowser automationCoding agents

Platforms

Python, Web Automation, Claude Code

Audit report

Safe to try · 92/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Web scraping

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Web scraping

Trust label

Production-ready

Install path

Command ready

Use when

  • Web scraping workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 27,245 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 139 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Web scraping task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

75
OpenAgentSkill Trust Score

GitHub adoption

PASS

27K GitHub stars

Stars/forks activity

PASS

27K stars, 2.6K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • OpenAgentSkill usage activity detected
  • Outcome confidence 25% from 1 report(s)

Review before install

  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
  • Agent Proven outcomes: Early agent signal: 100% success from 1 agent outcomes
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
27K
Freshness
2mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Collect structured data

Web scraping

I need my agent to scrape websites and extract structured data from pages.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Workflow fit

Add it to a complete workflow

Scrape, clean, and reuse web data

Web data pipeline

A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

Compare before you install

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Compare all

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Open-source LLM-friendly web crawler and scraper

Adopt
Ready100
Quality100
Stars73.1K

Page Agent

Control web interfaces with natural language agents

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Overview

Python scraper based on AI

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform compatibility

pythonFULL
web-automationFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
May 21, 2026

Frameworks & tools

PythonWeb Automation

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

27,245 GitHub stars

Audit

Install review

Install and adoption review

92
Safe to try
Security
89/100
Maintenance
88/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

47
Proven
Early agent signalAuto-install: review firstLast: Aug 18, 2026
Success rate
100%
Recent failure
0%
Outcomes
1
Output quality
4.0/5
Failed
0
Not relevant
0
Installs
1
Risk blocked
0
Setup needed
0
Production
0

Early agent signal: 1 outcome, 100% success, Agent Proven Score 47/100.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Scrapegraph AI, ready for a manual X post.

Curator note
For a web workflow, this is a skill worth shortlisting before another blank prompt.

Scrapegraph AI: Python scraper based on AI

27.2K stars

https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai?ref=x
Open X draft
Optional reply with install command
Listing + install path for Scrapegraph AI:
https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai?ref=x

Install: npx skills add ScrapeGraphAI/Scrapegraph-ai
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to ScrapeGraphAI but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/scrapegraphai-scrapegraph-ai?metric=listed&label=Listed)](https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/scrapegraphai-scrapegraph-ai?metric=trust&label=Trust)](https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/scrapegraphai-scrapegraph-ai?metric=audit&label=Audit)](https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/scrapegraphai-scrapegraph-ai?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/scrapegraphai-scrapegraph-ai)
Preview badge Open audit Creator kit

Author

S

ScrapeGraphAI✓

@scrapegraphai

Tags

scrapingcrawlerai-crawlerai-scrapingai-searchdata-extractionfirecrawl-alternativelarge-language-modelllmmarkdown

Platform fit

Claude Code

Health signals

GitHub stars
27.2K
Quality score
76/100
Last GitHub push
Jun 15, 2026
Framework hints
2
OpenAgentSkill views
47
Install copies
1
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

75
  • GitHub adoption27K GitHub starsPASS
  • Stars/forks activity27K stars, 2.6K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2mo since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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InstallView on GitHub