Use our collection of Data Mining APIs to access information by topic, time period, keyword, and engagement.
Retrieve, analyze and display a vest array of feed and story information in the ways you want.
Every day we add millions of new stories and articles to our database so you always have the most recent and rich archive. Whether you’re aggregating information, looking for competitive intelligence, or doing research, let our Data Mining APIs help you.
Measure relative engagement of publishers at the feed level. Detect engagement trends and analyze influence on the audience. Retrieve news feed engagement scores for any time interval in summary mode (total average min/max engagement) or detailed mode (summary, plus daily breakdowns within the specified interval).
Feed Rank tells you a blog’s rank in a topic over any time period as well as it’s share of influence in the topics. Drive your own top blogs list slice and diced in your own way. Understand how engagement is distributed across bloggers in a topic area. Understand if a topic is dominated by just a few voices or if it is fragmented across dozens.
Retrieve the raw social interaction counts for a given story. Track how many tweets, diggs, delicious tags (and many more) are found for a given story. This is the fundamental data that drives the rest of the social engagement system.
Are you interested in knowing what a particular source wrote about a topic during a specific period of time and how the audience reacted? Retrieve specific news feed content from our entire archive based on time, keyword or PostRank engagement.
Retrieve a news feed’s most engaging recent posts as filtered by PostRank. The most socially engaging recent content is exposed so you can highlight it as a publisher with our widget or discover it as a reader.
Find the best information published by a collection of authors in a specific topic area, sorted and ranked by PostRank. Create and maintain your own lists of feeds for topics of interest. Retrieve the full content feed for an entire topic, e.g. Cloud Computing, which is backed by a variety of distinct and filtered feeds.
Save time finding and filtering news and information required for your unique application. In feed-based mode, rank stories by the source feed’s historical performance. In theme-based mode, rank the URLs against the other URLs provided in the request. Aggregate a collection of story links and query our analytics engine for their PostRank scores. Retrieve PostRank scores for a hand-picked collection of URLs using feed-based or thematic filters.
Integrating with a PostRank API takes minimal time and effort. We do the work to make sure you get the data you need effortlessly:
| Normalized JSON schema (ATOM, RSS, RDF) | Between ATOM and RSS there are over a dozen different standards for distributing news syndication feeds. Our service normalizes all of the retrieved content into a consistent and easy to consume format, allowing you to focus on your application. |
| Normalized Post Meta-data | A large number of different standards for RSS and ATOM means different namespaces and elements are used to describe the post meta-data. PostRank normalizes all the differences into a coherent schema, corrects errors and performs additional analysis to fill in missing data where possible. |
| Normalized & Resolved URL’s | Different publishing platforms treat image and regular hyperlinks differently; some provide full paths and many provide relative URL’s which makes it hard to render and view content outside of the original domain. PostRank resolves all such cases to absolute URL’s and resolves and provides both the redirect links and the final destination URL’s for each article. |
| Normalized UTF-8 Encoded Content | Online content comes in hundreds of different content and character encodings. PostRank transcodes all incoming data into consistent UTF-8 format while preserving original character sets. |
| Language Classification | Not every publishing platform provides the source language of the post. When such data is not available, PostRank uses machine learning algorithms to detect the source language. Coupled with consistent UTF-8 transcoding features, this greatly simplifies working with different languages and character sets within your application. |
| Real-time Delivery Via AMQP or Web-hooks | No need to poll our servers for the latest updates, our real-time delivery service will push the latest updates to your system via your preferred mechanism: AMQP or web-hooks. |