# Creating a DataPipeline project

To create a new DataPipeline project, head over to the [DataPipeline](https://dashboard.scraperapi.com/projects) section of your account. From there, you can choose between different data collection types:

* Extract data from arbitrary websites and get raw HTML.
* Choose one of our Structured Data Endpoints and get well-structured JSON files or CSV as results.
* Get data in LLM-ready format like `text` and `markdown`, to effectively train LLMs on a large scale.

<figure><img src="/files/X91QUi2OKqgwKG0drx3h" alt=""><figcaption></figcaption></figure>

#### **Available use-case specific project types:** <a href="#available-use-case-specific-project-types" id="available-use-case-specific-project-types"></a>

| Amazon            | Ebay              | Walmart           | Google              | Redfin                  |
| ----------------- | ----------------- | ----------------- | ------------------- | ----------------------- |
| Product page data | Product page data | Product page data | Search page results | Single listing for sale |
| Search results    | Search results    | Category Pages    | News results        | Single listing for rent |
| Offers            |                   | Search Results    | Job results         | Listing search results  |
|                   |                   | Reviews           | Shopping data       | Agent Details           |
|                   |                   |                   | Maps search results |                         |

### Example Project

We have created an example project for each user to see the basic setup of a DataPipeline project. You can just leave it as it is or you can edit it and make your first own project out of it.

👉 [Go to example project](https://dashboard.scraperapi.com/projects/demo)


---

# Agent Instructions: 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:

```
GET https://docs.scraperapi.com/data-pipeline/creating-a-datapipeline-project.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
