# Response Result

#### Understanding SERP API Parsing

**SERP API Parsing** converts raw HTML responses into structured JSON with data fields and values. After parsing, the output is further organized into visual data fields such as: `link`, `display_link`, `title`, `description`, `rank`, `global_rank`, `image`, `image_alt`, `image_url`, and more. This enables you to:

* Monitor competitors’ SERP rankings
* Analyze keyword trends
* Gather valuable market insights

**Send a Parsing Request:**\
Below is a basic request example for parsing Google (`https://www.google.com`) via SERP API:

```sh
curl https://scraperapi.thordata.com/request \  
-H "Content-Type: application/json" \  
-H "Authorization: Bearer Token" \  
-d "{\"url\": \"https://www.google.com/search?q=pizza^&json=1\"}"
```

Upon success, click here to view detailed **Google SERP** results.

For parsed JSON fields from **Bing, Yandex, or DuckDuckGo**, click the respective platform to navigate.

For further assistance, contact us at [**support@thordata.com**](https://mailto:support@thordata.com/).


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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://doc.thordata.com/doc/scraping/serp-api/response-result.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.