# Quick Start

Data Hunter offers users a user-friendly interface, allowing them to create data scraping and processing functionalities within its application. Data Hunter provides a straightforward method to use text as input and employs AI models to generate the required programs.

This article will guide you to quickly create an "Amazon Product Information" collection task and help you quickly master the basic concepts and procedures involved in data collection tasks. If you are an experienced developer or want to get more in-depth with Data Hunter, [Capabilities](/data-hunter-english-guide/capabilities/data-collection.md) are a great place to start.

### Step 1 : Install

[Sign up](https://thedatahunter.com/en/col.jsp?id=101) for Data Hunter to continue accessing your applications.

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### Step 2 : Install

Currently, Data Hunter is only compatible with Windows 10 and above. Please ensure that you are using Windows and that your system version is 10 or higher. Begin by downloading the application from the [DataHunter](https://thedatahunter.com/en/col.jsp?id=108) website.

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* After the download is complete, double-click on the file to proceed with the installation.

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### Step 3 : Create Task

* Click on the "Add" button to open a new data collection scheme page.

<figure><img src="/files/TQy4dZcKD1j7R27HeqmV" alt=""><figcaption></figcaption></figure>

* In the "URL Bar", enter the URL of the webpage you wish to collect data from and press enter, for example, *<mark style="color:blue;"><https://www.amazon.com/s?k=iphone></mark>*.

<figure><img src="/files/sdQRX7uvIkPQ2wFiXa4o" alt=""><figcaption></figcaption></figure>

* Check if the blue highlighted area covers the content you need to collect. If not, click on the desired area to select it.

<figure><img src="/files/k82TGwb2dwEPTwpmOla3" alt=""><figcaption></figcaption></figure>

* Review the collected content to ensure it is what you need. If not, make the necessary modifications directly.

<figure><img src="/files/dlr1McqdYPfOUhyXyMn9" alt=""><figcaption></figcaption></figure>

* Click on the "AI Production Solution" button and wait for 30 seconds to 3 minutes.

<figure><img src="/files/5YcQRf1sPyVXG5pRI0gO" alt=""><figcaption></figcaption></figure>

* Verify the accuracy of the collected data and click the "Save" button to save your collection scheme.

<figure><img src="/files/ntbBkTLzk2jCpJNsB41R" alt=""><figcaption></figcaption></figure>

* Click on the 'Url Parameter' radio button, then enter the search URL, replacing the query parameter with '{0}'. For example: <https://www.amazon.com/s?k={0}>. Next, enter additional search parameters into the designated parameter area, such as 'kitchen', 'shoes'.

<figure><img src="/files/3TwBTvrT5O0X1v07SoBT" alt=""><figcaption></figcaption></figure>

* Test the accuracy and efficiency of your data collection scheme by clicking the "Run Test" button.

<figure><img src="/files/4TC6eLteRCi0aOrspEbo" alt=""><figcaption></figcaption></figure>

### Step 4 : Run Task

After completing the creation of a data collection task, you can view the tasks you've created in the collection task list.

<figure><img src="/files/dG2U6dxqDc4rzQMGCnCF" alt=""><figcaption></figcaption></figure>

By clicking on 'Options', you can start, edit, copy, or delete tasks.

<figure><img src="/files/qwVfGpl7sQKT2pbfbVlg" alt=""><figcaption></figcaption></figure>

Clicking on the text within the 'Data Count' field allows you to view the data that has been collected.

<figure><img src="/files/ftfBoeHO9WyEdVlOXiZS" alt=""><figcaption></figcaption></figure>

On the collected data page, you can export the data by clicking on the 'Process Data' button followed by the 'Export Data' button.

<figure><img src="/files/NHtqCOw0QIVnMZQJIfJn" alt=""><figcaption></figcaption></figure>


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# 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://maxiaohua.gitbook.io/data-hunter-english-guide/get-started/quick-start.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.