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catalog / Agentic capability / GPT Crawler
⌬WorkflowAgentic capabilityFree

GPT Crawler

Crawl a website from a single URL and generate one consolidated knowledge file to power a custom GPT or RAG assistant.

@ai-supply
Installs172
⟳ upstream v1.5.1 · updated 1y ago
↗ Source repository
← More Agentic capabilityAgentic capability leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals5capabilities surfaced10of 20 OWASP controls clear
Broad capability surfacenpm install-lifecycle scriptExternal endpoints declared · expectedExternal endpoints declared · expected
scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

GPT Crawler

GPT Crawler (by Builder.io) crawls a website starting from one or more seed URLs and packages the extracted content into a single knowledge file you can upload to a custom GPT, assistant, or RAG index. You give it a URL match pattern and a CSS selector for the main content, and it walks the site with a headless browser — respecting page limits and concurrency — then emits an output.json ready for ingestion.

Key features

  • Point at a docs site or blog and get one clean knowledge file
  • Configurable URL match globs, content selector, max pages, and depth
  • Headless-browser rendering for JavaScript-heavy pages
  • Run as a CLI, a dependency, or inside a container
  • Output tailored for OpenAI custom GPTs and assistant uploads

A focused, practical tool for turning existing documentation into an LLM-ready corpus without building a full crawling stack from scratch.

Curated mirror of the open-source GPT Crawler (ISC). Get it from the source.

Rating rank
#1
of 35 in Agentic capability
Install rank
#35
of 35 in Agentic capability
Security score
100/100 · A
safe
Security rank
#1
of 35 in Agentic capability
Installs
172
cat avg 186k
This listing vs category average
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cat avg
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✓ Security: Safe · 100100/100 · grade Ascanned 1mo ago
✓ no compromise signals5 risk-surface · 3/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ network⚑ secretsinstall: preinstall
egress → crawlee.dev, www.readme-i18n.com, chat.openai.com, www.builder.io, platform.openai.com, user-images.githubusercontent.com, download.docker.com, deb.nodesource.com +5
18 steps⚑ uses secretsactions/checkout@v2actions/setup-node@v2preactjs/compressed-size-action@v2docker/build-push-action@v2amannn/action-semantic-pull-request@v5github.comregistry.npmjs.orgwww.patreon.com

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM03Supply Chainhigh
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 29 npm dependencies declared · BuilderIO-gpt-crawler-d2245d6/package.jsonrisk surface
•npm install-lifecycle script — preinstall run on install — executes arbitrary code · BuilderIO-gpt-crawler-d2245d6/package.json (CWE-506)risk surface
⚠LLM06Excessive Agencylow
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · BuilderIO-gpt-crawler-d2245d6/CHANGELOG.mdexpected
•External endpoints declared — 6 distinct host(s) · BuilderIO-gpt-crawler-d2245d6/README.mdexpected
•External endpoints declared — 3 distinct host(s) · BuilderIO-gpt-crawler-d2245d6/containerapp/Dockerfileexpected
•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege · BuilderIO-gpt-crawler-d2245d6/package-lock.json (CWE-272)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
✓LLM01Prompt InjectionPassed
✓LLM02Sensitive Information DisclosurePassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM05Improper Output HandlingPassed
✓LLM07System Prompt LeakagePassed
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML06AI Supply Chainhigh
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 29 npm dependencies declared · BuilderIO-gpt-crawler-d2245d6/package.jsonrisk surface
•npm install-lifecycle script — preinstall run on install — executes arbitrary code · BuilderIO-gpt-crawler-d2245d6/package.json (CWE-506)risk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
◷ML09Output IntegrityRuntime-enforced
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (4) · hygiene / uncategorized
•Unrecognized file type — '.dockerignore' is not on the allowlist · BuilderIO-gpt-crawler-d2245d6/.dockerignorerisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · BuilderIO-gpt-crawler-d2245d6/.gitignorerisk surface
•Unrecognized file type — '.?' is not on the allowlist · BuilderIO-gpt-crawler-d2245d6/.husky/pre-commitrisk surface
•Unrecognized file type — '.releaserc' is not on the allowlist · BuilderIO-gpt-crawler-d2245d6/.releasercrisk surface
✔ verified source · pinned BuilderIO-gpt-crawler-d2245d6
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/gpt-crawler-knowledge-builder/check). Click a policy:

Consume GPT Crawler programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/gpt-crawler-knowledge-builder

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/gpt-crawler-knowledge-builder/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add gpt-crawler-knowledge-builder

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/gpt-crawler-knowledge-builder/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "gpt-crawler-knowledge-builder" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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