Twitter Api
We're rebuilding the Twitter API from the ground up to better support developers as they help the world connect to the public conversation.
Twitter Api Postman
The user Tweet timeline and user mention timeline are the Twitter API v2 versions of the v1.1 statuses/usertimeline and v1.1 statuses/usermentions endpoints. If you are currently using these v1.1 endpoints, you can use our migration materials to start working with this new endpoint. The Twitter REST API methods allow developers to access core Twitter data. This includes update timelines, status data, and user information. The Search API methods give developers methods to interact with Twitter Search and trends data. The API presently supports the following data formats: XML, JSON, and the RSS and Atom syndication formats. By following this guide, you will learn: How to create Twitter API keys to use in an application. How to use Twython to send tweets using Python. How to upload images to Twitter using Twython. How to live-stream tweets from Twitter. This resource covers elements from the following strands of the Raspberry Pi Digital Making Curriculum.
Eventually, the Twitter API v2 will fully replace the v1.1 standard, premium, and enterprise APIs. Before that can happen though, we have more to build, which is why we are referring to the current phase asEarly Access. It's a chance to get started now and get ahead.
What's available today
Built on a modern API foundation, the new API is easier to use with features like the ability to specify which fields get returned or retrieve more Tweets from a conversation within the same response. It also includes highly requested features missing from the v1.1 endpoints like conversation threading, poll results, topical Tweet annotations, and more.
Today, the Twitter API v2 includes several endpoints and features to make it easier to listen and analyze the public conversation. These endpoints are available on both the Standard and Academic Research product tracks.
Standard: The default product track for most developers, including those building something for fun, for a good cause, to learn or teach.
Academic Research: Academic researchers are one of the largest groups looking to understand what’s happening in the public conversation. Within this track, qualified academic researchers will get increased levels of access to a relevant collection of endpoints, including a new full-archive search endpoint. We’re also providing resources for researchers to make it easier to conduct academic research with the Twitter API.
Twitter Api Python
We have a lot planned for the new API, including functionality to engage with people on Twitter and new access levels and product tracks to make it easier for developers to grow as their needs evolve. To learn more about what's planned, visit the guide to the future of the Twitter API.
New features
| Ability to request specific objects and fields | Pick and choose which data you receive in your response with our new fields and expansions functionality. |
| New and more detailed data objects | We’ve added additional data fields and objects to our responses, and are allowing you to request the following related objects to return directly in the related Tweet or user object:
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| Advanced metrics return in Tweets | More easily understand the performance of Tweets from directly within your payload by requesting both public and private Tweet metrics including impressions, video views, user profile and URL clicks, some of which are separated into an organic and promoted context. |
| Insights on Tweet topics with annotations | When using search Tweets or filtered stream, you can now filter by topic using our entity and context operators. We’ve also provided these topics within the Tweet payload to help with analysis. |
| Improved conversation tracking | Make it easier to identify a Tweet as part of a conversation thread when using recent search and Tweet lookup. We've also added the abliity to determine whether conversation reply settings have been set for a Tweet with the Tweet field reply_settings. |
| Academic Research product track | This specialized product track for researchers grants free access to full-archive search and other v2 endpoints released to date. It also includes a significantly higher monthly Tweet cap, and enhanced features and functionality to get more precise and complete data for analyzing the public conversation. |
In addition to the above features, we’ve also released the following functionality:
Twitter Apink
- High confidence spam filtering
- Shortened URLs are fully unwound for easier URL analysis
- Simplified JSON response objects by removing deprecated fields and modernizing labels
- Return of 100% of matching public and available Tweets in search queries
- Streaming 'rules' so you can make changes without dropping connections
- More expressive query language for filtered stream and search
- OpenAPI spec to build new libraries & more transparently track changes
- API support for new features and endpoints more quickly as our platform evolves to meet the needs of developers, researchers, businesses, and people using Twitter.