# Twitter Search API

- [Getting Started](https://docs.webscrapingapi.com/twitter-search-api/getting-started.md): Scraping Twitter data can provide valuable insights into consumer behaviour and sentiment, helping businesses to make informed decisions about their products or services.
- [Access the API](https://docs.webscrapingapi.com/twitter-search-api/getting-started/access-the-api.md): Scraping data from Twitter has never been easier.
- [API Parameters](https://docs.webscrapingapi.com/twitter-search-api/getting-started/api-parameters.md): Customize the response from the Twitter API by adding parameters to your request.
- [Twitter Search Engines](https://docs.webscrapingapi.com/twitter-search-api/twitter-search-engines.md): We treat each Twitter page as a Search Engine, which allows us to generate better results.
- [Twitter Profile](https://docs.webscrapingapi.com/twitter-search-api/twitter-search-engines/twitter-profile.md): Scrape Twitter Profiles and get information about anyone
- [Twitter Tweets](https://docs.webscrapingapi.com/twitter-search-api/twitter-search-engines/twitter-tweets.md): Scrape Twitter Tweets easily by using our API


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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://docs.webscrapingapi.com/twitter-search-api.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.