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Historical PowerTrack API - metadata and filtering timeline

posted on 02 June 2017 by Jim Moffitt

Introduction  How Twitter evolved as a platform, and how that affected the JavaScript Object Notation (JSON) used to encode Tweets, is discussed here. That article also begins the discussion of how these JSON details affect creating the filters needed to find your historical data of interest. This article continues that discussion by exploring how these details affect writing filters for Historical PowerTrack. This, and a complementary article about Full-Archive Search, will serve as a ‘compare and contrast’ discussion of the two Twitter historical products. Product Overview  The Historical PowerTrack (HPT) API brings the same filtering capabilities developed for real-time streaming... keep reading

Tweet Metadata Timeline

The evolution of Twitter and its Tweet JSON metadata, and how that affects finding your historical signal of interest.

25 May 2017


Rule Limits

Information on managing rule limits.

18 January 2017


Migrating Code to Gnip 2.0

A guide for migrating code to Gnip 2.0 products.

22 August 2016


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PowerTrack / Firehose Stream

Connect to the PowerTrack and Firehose streams.

PowerTrack Rule Management

Add, delete, and list rules on the PowerTrack Rules API.

Historical PowerTrack

Create and manage Historical PowerTrack jobs.

Search API

Send Search and Counts requests to the Search API.

Engagement API

Request engagement metrics for specific Tweet IDs.

Audience API

Request audience demographics for specific UserID groupings.

Data Collector Stream

Connect to the streaming endpoint of Data Collector streams.

Data Collector Polling

Retrieve data from your Data Collector with GET polling.

Data Collector Rule Management

Add, delete, and list rules on your Data Collector feeds.