> For the complete documentation index, see [llms.txt](https://docs.dapplooker.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dapplooker.com/dapplooker-analytics/features/downloading.md).
# Downloading
### Following these steps, you can conveniently download data from DapLooker in the format that best suits your requirements.
1. Locate the download button, which can be found in the bottom right corner of the page. The button is easily identifiable with a downward arrow symbol. Click to download
2. A Pop-Up menu appears with various file format options for off-chain analytics, such as .csv, .xlsx, and .json. Choose the file format by clicking on it.
3. After selecting the file format, the download will begin automatically. The file will be saved
---
# 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 by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.dapplooker.com/dapplooker-analytics/features/downloading.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.
