CrawlChat.app

Source-linked AI answers from your technical documentation

Intermediate API
Screenshot of CrawlChat.app, Source-linked AI answers from your technical documentation

What is CrawlChat.app?

CrawlChat.app is an AI chat bot tool. AI agent that turns product docs, API references and internal wikis into source-linked answers, deployable as a website widget, Discord bot, Slack app, GitHub bot, MCP server and API, with analytics that expose documentation gaps.

CrawlChat is a documentation support layer built for software companies. You feed it your product docs, API references, GitHub issues and discussions, Notion and Confluence pages, Linear projects, or uploaded files, and it turns that material into an agent that answers questions about your product. Every reply is grounded in the crawled sources and linked back to them, which is the core promise: reliable answers rather than confident guesses. The point is to intercept questions before they reach engineering, support, or DevRel. The real differentiator is deployment breadth. A single agent can serve as a website chat widget, a Discord bot, a Slack app, a GitHub bot, an MCP server for AI tools, and a REST API endpoint. The same sources, tone and escalation rules apply wherever the question arrives, so a user on Discord gets the same accuracy as a visitor on your docs site. Automatic syncing means sources refresh on a schedule (hourly for GitHub and Discord, daily for web docs in the example shown) without manual reindexing. Beyond answering, CrawlChat leans on analytics. It surfaces data gaps (topics users asked about that the documentation does not cover), categorizes questions, runs sentiment analysis and tracks low-rated answers. Those signals feed directly into documentation improvements, and weekly email reports keep the loop running. The workspace view adds knowledge health monitoring across sources and an activity feed of recent questions. It fits developer-facing teams best: open source projects, API platforms, SaaS products with heavy technical documentation. Compared with generic website chatbot builders, it is narrower in scope but deeper on code-adjacent sources and community channels. Vendor testimonials cite cost as a reason teams switch from competitors, though that is a claim from the homepage rather than an independent benchmark. Skill level sits at intermediate. Setup is mostly connecting sources and choosing channels, but getting good answers depends on clean documentation and some tuning of sources and escalation rules.

How do you use CrawlChat.app?

  1. 1Create your agent and connect sources
    Sign up and open the app workspace. Add at least one knowledge source (a documentation website, GitHub repository, Notion, Confluence, Linear or a manual upload) so the agent has material to ground its answers in.
    CrawlChat.app — Create your agent and connect sources
  2. 2Review the crawled knowledge base
    Check the knowledge health table to confirm pages were indexed and see the sync schedule per source. Reindex any source that looks out of date before going live.
  3. 3Choose your deployment channels
    Enable the web embed widget, Discord bot, Slack app, GitHub bot, MCP server or API depending on where your users ask questions. Keep the same tone and sources across all of them.
  4. 4Test with realistic technical questions
    Ask the kinds of questions your users actually send: webhook retries, role permissions, API keys. Confirm the answers carry source links and that the agent declines rather than invents when a source is missing.
  5. 5Embed the widget on your docs site
    Add the web widget to your documentation so visitors get self-serve answers. The widget supports follow-up questions, which keeps multi-step troubleshooting inside one thread.
  6. 6Work the insights backlog weekly
    Open the analytics view, review data gaps and low-rated answers, then write or fix documentation for those topics. Weekly email reports keep the loop visible to the team.

Pros and cons

Pros

  • Every answer cites the crawled source, which makes verification easy for technical usersAI
  • One knowledge base powers web widget, Discord, Slack, GitHub, MCP and API without rebuildingAI
  • Automatic source syncing keeps answers current as docs and GitHub discussions changeAI
  • Data gaps, categories and sentiment analysis turn chat logs into a documentation backlogAI
  • MCP server support plugs the same knowledge into AI tools and coding assistantsAI

Cons

  • Answer quality is bounded by documentation quality; thin or stale docs produce weak resultsAI
  • Entry plan caps you at 1 agent and 1 team member, which blocks small teams quicklyAI
  • Advanced insights (data gaps, categories, sentiment) are locked out of the cheapest tierAI
  • Data retention is 6 months on the entry plan versus 1 year on higher tiersAI
  • No public pricing page details beyond the home page table, so edge cases need a sales emailAI

How much does CrawlChat.app cost?

Free trial

A 7 day free trial is offered on every plan, with cancellation available at any time according to the pricing section.

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Pricing

Three tiers, monthly or yearly with an advertised 20 percent annual saving. Launch is $29 per month for 2,000 pages, 500 credits, 1 agent and 1 member; Grow $99 for 5,000 pages, 2,500 credits, 2 agents and 2 members; Accelerate $299 for 14,000 pages, 10,000 credits, 3 agents and 5 members. Custom enterprise pricing via sales.

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Integrations

Web embed widget, Discord bot, Slack app, GitHub bot, MCP server, REST API and an n8n community node. Knowledge sources include web crawling, Docusaurus, GitHub issues and discussions, Notion, Linear, Confluence and manual uploads.

Features

Source-linked answers from docs, GitHub issues and discussions, Notion, Confluence, Linear and uploaded files, with automatic syncing. Deploy the same agent as a web widget, Discord bot, Slack app, GitHub bot, MCP server or REST API. Analytics cover data gaps, question categories, sentiment and low-rated answers, plus weekly email reports. Includes a Chrome extension for composing answers and private bots.

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Frequently asked questions about CrawlChat.app

  • How much does CrawlChat.app cost?
    Three tiers, monthly or yearly with an advertised 20 percent annual saving. Launch is $29 per month for 2,000 pages, 500 credits, 1 agent and 1 member; Grow $99 for 5,000 pages, 2,500 credits, 2 agents and 2 members; Accelerate $299 for 14,000 pages, 10,000 credits, 3 agents and 5 members. Custom enterprise pricing via sales.
  • Does CrawlChat.app offer a free trial?
    A 7 day free trial is offered on every plan, with cancellation available at any time according to the pricing section.
  • Does CrawlChat.app have an API?
    Yes, CrawlChat.app offers an API.
  • How do you use CrawlChat.app?
    The walkthrough on this page covers 6 steps: 1. Create your agent and connect sources 2. Review the crawled knowledge base 3. Choose your deployment channels 4. Test with realistic technical questions 5. Embed the widget on your docs site 6. Work the insights backlog weekly.
  • What platforms does CrawlChat.app support?
    CrawlChat.app is available on Web App, Discord and Browser extension.
  • What does CrawlChat.app integrate with?
    Web embed widget, Discord bot, Slack app, GitHub bot, MCP server, REST API and an n8n community node. Knowledge sources include web crawling, Docusaurus, GitHub issues and discussions, Notion, Linear, Confluence and manual uploads.

Status

StatusActive
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Added10/21/2026

Platforms

Web AppDiscordBrowser extension

Pricing

Free TrialSubscription