Gpt Crawler is live · free · last verified 23 Oct 2026 · viability monitor

Gpt Crawler

Gpt Crawler

GPT Crawler turns any website into a JSON knowledge file for custom GPTs and OpenAI assistants — free, MIT-licensed, run locally.

65/100MonitorFreeFree

For a developer who needs a custom GPT grounded in a docs site this afternoon, GPT Crawler is the shortest free path: MIT-licensed, local, and no API key for the crawl. The CSS selector plus link match pattern pull cleaner text than most free scrapers, and the headless browser means React and Next.js docs come through intact. What you don't get is anything recurring — no scheduler, no diffing, no hosted UI.

Verdict generated

Verified 7d ago · liveness 65/100 · cite: rightaichoice.com/tools/gpt-crawler

Best for
  • Developers who need a custom GPT grounded in a docs site today, for free
  • Small teams building an internal assistant over a relatively stable knowledge site
  • Privacy-conscious builders who want crawl output to stay on their own machine
  • Prototyping a site-specific chatbot before paying for a managed crawler
Not ideal for
  • Anyone unwilling to touch a terminal, Node.js, or a config file
  • Docs sites that change daily and need automatic re-sync — no scheduler or diffing
  • Enterprises that need SLAs, support contracts, or managed hosting for ingestion
Visit Website

IntermediateA developer with Node.js already installed gets to a first output.json in roughly 10-20 minutes: clone the repo and run npm install, edit the handful of fields in config.ts, run npm start, then wait while the crawl completes. The upload step — dropping the file into a custom GPT's knowledge panel or attaching it to an OpenAI assistant — is a few more minutes, but only faster if you already have aCLINo public APIVerified 7d ago
Pricing
Free
FreeFree tier3 hidden costs
Learning curve
Intermediate
A developer with Node.js already installed gets to a first output.json in roughly 10-20 minutes: clone the repo and run npm install, edit the handful of fields in config.ts, run npm start, then wait while the crawl completes. The upload step — dropping the file into a custom GPT's knowledge panel or attaching it to an OpenAI assistant — is a few more minutes, but only faster if you already have a
Runs on
CLI
No public API · 2 integrations
Who it's for
Developer grounding a custom GPT in product docsBuilder integrating site knowledge into an app via APISmall team turning a client-side-rendered SPA into a knowledge file
Live sentiment
Is Gpt Crawler actually worth it?

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Skip it if

Skip GPT Crawler if your source site changes daily and you need automatic re-crawling or change detection, since every run is a manual snapshot you start yourself and re-upload by hand.

Skip-it-if note generated
The 30-second take
Biggest gripe

The crawl itself is free, but uploading a custom GPT's knowledge file requires a paid ChatGPT plan, so the custom-GPT path is not a $0 workflow end to end.

Price reality

GPT Crawler is $0 under the MIT license and runs on Node.js on your own machine, with no account or API key required for the crawl. That puts it below paid crawling services such as Firecrawl and Apify, and it is not comparable to Builder.io's own platform plans, which start at $0/mo Free and $24 per user/mo for Pro with Agent Credits. Budget instead for a paid ChatGPT plan if you take the custom-GPT route, or OpenAI API usage if you attach the file to an assistant.

Generated

In short

Gpt Crawler — GPT Crawler turns any website into a JSON knowledge file for custom GPTs and OpenAI assistants — free, MIT-licensed, run locally. Best for Developers who need a custom GPT grounded in a docs site today, for free, Small teams building an internal assistant over a relatively stable knowledge site, Privacy-conscious builders who want crawl output to stay on their own machine. Free to use.

What is Gpt Crawler?

Gpt Crawler — GPT Crawler turns any website into a JSON knowledge file for custom GPTs and OpenAI assistants — free, MIT-licensed, run locally. Best for Developers who need a custom GPT grounded in a docs site today, for free, Small teams building an internal assistant over a relatively stable knowledge site, Privacy-conscious builders who want crawl output to stay on their own machine. Free to use.

FreeIntermediateNo APICLI

GPT Crawler is an open-source command-line tool that Builder.io's Steve Sewell released on November 14, 2023 under the MIT license. Point it at a base URL, and it crawls that site with a headless browser and writes a single output.json file holding each page's title, URL, and extracted text. You then upload that file to a ChatGPT custom GPT's knowledge panel or attach it to an OpenAI assistant through the API dashboard. It is built for developers and small teams who want a site-grounded assistant without routing their content through a hosted scraping service. Setup stays close to the metal: clone builderio/gpt-crawler, run npm install, and edit config.ts. Four settings do most of the work. url sets the crawl start point, match restricts which links get followed (say, only /docs/** paths), selector picks the CSS container to extract so sidebars and navigation stay out of the knowledge file, and maxPagesToCrawl caps the run at 1000 pages by default. outputFileName names the result. Because the crawler drives a headless browser, client-side-rendered markup comes through along with the static HTML, and Builder.io notes you can customize it to log in and reach non-public pages. No account or API key is needed for the crawl itself, and the output never leaves your machine. Builder.io used the tool to build a custom GPT over its own docs, forum, and GitHub examples — a working reference if you want to see what a crawled knowledge base looks like in practice. Treat it as a snapshot generator, not a pipeline. There is no scheduler, no change detection, and no hosted UI; re-sync means re-running the crawl and re-uploading the file. If your documentation is stable and you're comfortable in a terminal, that trade is fine. If it shifts weekly, or a non-developer needs to own ingestion, look at Firecrawl or a managed crawler with recurring sync.

Key features

  • Crawl any website from a base URL set in config.ts
  • Follow only links matching a URL pattern such as /docs/**
  • Extract text from a specific CSS selector to drop nav and sidebars
  • Cap crawl size with maxPagesToCrawl, defaulting to 1000 pages
  • Name the output file via outputFileName in config.ts
  • Write JSON containing each page's title, URL, and extracted text
  • Headless browser captures client-side-rendered markup alongside static HTML
  • Customizable to log in and crawl non-public pages
  • Upload output.json to a ChatGPT custom GPT knowledge panel
  • Attach the same file to an OpenAI assistant via the API dashboard
  • Configure the entire crawl in a single config.ts file
  • Stream crawl progress in the terminal in real time
  • Runs locally on Node.js with no account or API key needed to crawl
  • MIT license allows forking into a custom ingestion pipeline

Behind the verdict

The pitch is simple: one URL in, one knowledge file out. In practice that's exactly what you get, and for a lot of teams it's enough. We'd reach for GPT Crawler when the knowledge source is a docs site that changes on a release cadence rather than hourly. Crawl it, upload output.json to a custom GPT, done. The selector setting is the part worth spending ten minutes on — point it at the article container and you drop the sidebar and nav noise that makes assistants answer with menu links. Pair that with a match pattern scoped to /docs/** and the token budget goes a lot further. Pass on it if you need the knowledge base to stay current without a human remembering to re-run npm start. There's no scheduled refresh, no hash comparison telling you which pages changed, and no dashboard for a content person to click. Every update is: re-crawl, re-upload, republish. On a site with a few hundred stable pages that's a monthly chore; on a fast-moving product it's a losing battle. Compared with Firecrawl, the closest paid alternative, GPT Crawler trades automation for control. Firecrawl gives you an API, recurring crawls, and structured output you can wire into a RAG pipeline. GPT Crawler gives you a local Node.js process and a JSON file you own. If you're prototyping, the free one wins. If you're shipping an assistant that customers depend on, you'll end up building the scheduling and diffing yourself or paying someone who already did. One caveat on privacy: everything runs locally, which is the selling point, but that also means the crawl, the dedup, and the re-upload discipline are yours to manage. Nothing is watching the site for you. Also worth knowing: Builder.io's own product pages have moved on considerably since this 2023 post, so don't mistake the surrounding

Limitations

  • GPT Crawler is a free, MIT-licensed, open-source CLI you clone from GitHub, install with npm, and configure via config.ts with a base URL, link match pattern, and CSS selector.
  • It crawls locally on Node.js using a headless browser and writes output.json (title, URL, extracted text per page) for upload to a ChatGPT custom GPT or an OpenAI assistant.
  • Each run is a manual snapshot on your own machine, with no hosted dashboard, no scheduler, and no diffing between runs, so re-syncing means re-running the crawl and re-uploading the file.
  • Extraction depends on your CSS selector, which breaks silently if a site redesign moves or renames the target container.
  • The evidence names no underlying AI model, confirming it is a crawler utility rather than a standalone model product.

as of 2026-10-13

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Is Gpt Crawler still active?

Gpt Crawler is live · free · last verified 23 Oct 2026 · viability monitor.

Viability score

65/100
Monitor

How well maintained and how widely used is Gpt Crawler? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
94
Site health
95
User sentiment
50
What the vendor publishes
20

Last calculated: October 2026

How we score →

What do users say about Gpt Crawler?

What people actually say about Gpt Crawler — is it worth it?

Our community sentiment research written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.

How we verified this

Every listed fact about Gpt Crawler— pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 23 Oct 2026. Pages mix model-assisted synthesis with human review; see how we verify.

Verification history

We have re-verified Gpt Crawler 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — changed pricing page
  2. — changed pricing page
  3. — changed features, who should skip it, pricing tiers, summary, our verdict, description
  4. — changed pricing page
  5. — changed switching in, our verdict, switching out, setup time, summary, features, description, hidden costs, pricing fit, limitations, who should skip it, use cases
  6. — changed pricing tiers, description, who it suits, summary, our verdict, features, who should skip it

Showing the 6 most recent of 12 verification passes.

Free to cite with attribution — this page re-verifies continuously.

How much does Gpt Crawler cost in 2026?

Gpt Crawler: Free to use. Pricing last verified 23 Oct 2026.

Plans compared

Every published Gpt Crawler tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.

Gpt Crawler pricing plans compared
PlanPriceBillingWho it's for
Open Source (MIT)Free—Developers and small teams who want a site-grounded custom GPT or OpenAI assistant without paying for a hosted crawler or sending content to a third party.Adds: Starting tier and the only tier: $0 under the MIT license, crawls locally on Node.js with no account or API key, and you configure url, match, selector, maxPagesToCrawl, and outputFileName in config.ts.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • The crawl itself is free, but uploading a custom GPT's knowledge file requires a paid ChatGPT plan, so the custom-GPT path is not a $0 workflow end to end.
  • Attaching the same output.json to an assistant costs OpenAI API usage for the assistant's requests, a bill GPT Crawler never sees.
  • Swapping in a managed crawler such as Firecrawl or Apify to get scheduling means moving onto a subscription, which is the recurring cost GPT Crawler avoids by making you re-run manually.

Where the pricing makes sense

The company stage and team size where Gpt Crawler's pricing actually pencils out — and where peers do it cheaper.

GPT Crawler is $0 under the MIT license and runs on Node.js on your own machine, with no account or API key required for the crawl. That puts it below paid crawling services such as Firecrawl and Apify, and it is not comparable to Builder.io's own platform plans, which start at $0/mo Free and $24 per user/mo for Pro with Agent Credits. Budget instead for a paid ChatGPT plan if you take the custom-GPT route, or OpenAI API usage if you attach the file to an assistant.

Hidden-cost and price-fit notes generated

Has Gpt Crawler's pricing changed?

No plan price for Gpt Crawler has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.

Who should pick Gpt Crawler?

Pick Gpt Crawler if you are Developers who need a custom GPT grounded in a docs site today, for free, Small teams building an internal assistant over a relatively stable knowledge site, Privacy-conscious builders who want crawl output to stay on their own machine, Prototyping a site-specific chatbot before paying for a managed crawler.

Look elsewhere if you are Anyone unwilling to touch a terminal, Node.js, or a config file, Docs sites that change daily and need automatic re-sync — no scheduler or diffing, Enterprises that need SLAs, support contracts, or managed hosting for ingestion, Teams wanting a turnkey chatbot with no setup or upload step.

Skip it if Skip GPT Crawler if your source site changes daily and you need automatic re-crawling or change detection, since every run is a manual snapshot you start yourself and re-upload by hand.

Generated

Real-world workflow fit

Concrete scenarios for the personas Gpt Crawler actually fits — and what changes day-one when you adopt it.

Developer grounding a custom GPT in product docs

Clone builderio/gpt-crawler, run npm install, set url to the docs start page and match to the /docs/** pattern, point selector at the docs container class, then run npm start and watch pages stream in the terminal until output.json is written.

Outcome: You create a new GPT in ChatGPT and upload output.json to its knowledge panel, giving you an assistant that answers detailed questions about your docs with code snippets, the same pattern Builder.io used for its own docs, forum, and GitHub examples.

Builder integrating site knowledge into an app via API

Run the crawl locally with the same config.ts, then open the OpenAI API dashboard, create an assistant, and attach the generated file so the assistant is reachable over an API from your own product.

Outcome: Your app answers questions about your documentation or help center without you running a hosted crawling service, and the crawled content never left your machine on the way there.

Small team turning a client-side-rendered SPA into a knowledge file

Point config.ts at an SPA's start URL and rely on the headless browser to capture JavaScript-rendered markup that a plain HTML fetch would miss, capping the run with maxPagesToCrawl.

Outcome: You get one output.json covering the rendered pages, ready to upload to a custom GPT or assistant, with no API key or account needed for the crawl step.

Workflow scenarios generated

Use cases

Setup time & first value

How long it actually takes to get something useful out of Gpt Crawler — broken out by persona, not the marketing-page minute.

A developer with Node.js already installed gets to a first output.json in roughly 10-20 minutes: clone the repo and run npm install, edit the handful of fields in config.ts, run npm start, then wait while the crawl completes. The upload step — dropping the file into a custom GPT's knowledge panel or attaching it to an OpenAI assistant — is a few more minutes, but only faster if you already have a

Switching to or from Gpt Crawler

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From manual copy-paste into a custom GPT: replace hand-collected docs with a config-driven crawl of the same site.
  • →From a paid crawler like Firecrawl or Apify: switch to GPT Crawler when you only need an occasional snapshot and want the crawl to run locally at no cost.
  • →From a custom scraping script: replace bespoke HTML fetching with the headless-browser crawl, link match pattern, and CSS selector config.
Migrating out
  • ↗To Firecrawl or Apify: move when you need scheduled re-crawls, hosted infrastructure, or change detection instead of manual runs.
  • ↗To a managed RAG platform: move when you need chunking, embeddings, and retrieval handled for you rather than a single flat JSON upload.
  • ↗To Builder.io's platform: move when you want the crawled docs wired into a product surface with roles, previews, and support.

Integrations

ChatGPT custom GPTsOpenAI Assistants API

Tutorials & Learning

YouTube returned 6 videos for “Gpt Crawler”, and we withheld 6: 6 did not mention Gpt Crawler. We are showing none, because we could not prove any of them are about Gpt Crawler.

What are the best Gpt Crawler alternatives?

The closest alternatives to Gpt Crawler we list are Firecrawl, Apify and ManyPI. Ranked by direct product-type match, not category overlap.

Closest alternatives to Gpt Crawler
AlternativePricingStarts atLast verified
FirecrawlFreemiumPricing not published—
ApifyFreemiumPricing not published—
ManyPIFreemiumPricing not published—

Alternatives to Gpt Crawler

View all
Firecrawl

Firecrawl

Firecrawl is a web data API that scrapes, searches, and interacts with any page or PDF to feed LLM-ready Markdown and JSON into AI agents.

FreemiumTry
Apify

Apify

Apify is a marketplace of ready-to-run web scraping Actors, with an MCP server that feeds live web data to AI agents.

FreemiumTry
ManyPI

ManyPI

ManyPI is an AI sales agent that turns one sentence into verified leads and cold email sequences.

FreemiumTry

Tools that pair well with Gpt Crawler

Common stack mates teams adopt alongside Gpt Crawler, with the specific reason each pairing earns its keep.

Gpt Crawler vs its closest rival

Gpt Crawler's closest head-to-head is with Geologicai — Pick GeologicAI if you need a complete, high‑throughput core analysis platform for critical minerals mining and have the budget. Pick GPT Crawler if you’re a developer wanting a free, open‑source tool to turn any website into a knowledge base for ChatGPT or OpenAI Assistants. They serve entirely different markets and use cases. Verdict generated

Head-to-head comparisons

Frequently asked questions

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