> For the complete documentation index, see [llms.txt](https://docs.wonderchat.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.wonderchat.io/integration-guides/calendly.md). # Calendly This guide explains how to connect Wonderchat with Calendly, allowing users to book appointments directly through your chatbot for a seamless scheduling experience. *** 1\. Go to Dashboard > Actions > "Edit Chatbot"

2\. Navigate under "Lead Collections" tab

3. Enable Calendar Booking 4. Under Lead Collection Settings, turn on "**Enable Calendar Bookings**", and key in your public Calendly link. Press save to confirm changes.

Under Lead Collection Settings, click on "Enable Calendar Bookings".

5. Find the "Book a Meeting" button in your chatbot 6. Clicking on the "Book a meeting" button allows users to schedule a meeting with the Calendly owner. 7. Once a date is selected, they can enter their details and book a meeting just like they would through your webpage.

*** If you have any more questions, feel free to reach out to us at **** --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.wonderchat.io/integration-guides/calendly.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.