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GitBook API Documentation

Share knowledge, boost your team's productivity and make your users happy.

Developer

API Overview

GitBook is a cloud-based platform that enables teams to create, collaborate on, and publish technical documentation. It offers a user-friendly interface, version control, and real-time collaboration features, making it an ideal solution for software documentation, user guides, and knowledge bases. GitBook supports Markdown, AsciiDoc, and reStructuredText formats, allowing teams to choose the most suitable format for their documentation. Additionally, GitBook provides integrations with popular tools such as GitHub, Slack, and Google Drive, enhancing collaboration and streamlining workflows. GitBook API provides a comprehensive set of RESTful APIs for developers to interact with the GitBook platform. The documentation API allows developers to retrieve and manage documentation content, including books, pages, and sections. The REST APIs offer CRUD operations for creating, reading, updating, and deleting documentation entities. Additionally, the Webhooks API enables developers to subscribe to events such as book creation, page updates, and user invitations, allowing them to build custom integrations and automate workflows. GitBook also imposes rate limits to ensure fair usage of the API and prevent excessive requests. Developers can monitor their API usage through the API dashboard and adjust their request frequency accordingly.

Authentication

OAuth and TBA
SSO Supported

Rate Limits

Free

100 requests per minute

Starter

1,000 requests per minute

Professional

5,000 requests per minute

Business

10,000 requests per minute

FAQs

Details

Popular

Provider

Country HQ

France

API Type

REST

Categories

Knowledge Base
Development

Alternatives

Important URLs

Last Updated on

2024-03-28

Created At

2023-12-14

Screenshots

GitBook Screenshot

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We do our best to ensure that the data we release is complete, accurate, and useful. However, because we are not able to verify all the data, and because the processing required to make the data useful is complex, we cannot be held liable for omissions or inaccuracies.

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