Mock sample for your project: Books API

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Books API

nytimes.com

Version: 3.0.0


Use this API in your project

Integrate third-party APIs faster by using "Books API" ready-to-use mock sample. Mocking this API will help you accelerate your development lifecycles and improves your integration tests' quality and reliability by accounting for random failures, slow response time, etc.
It also helps reduce your dependency on third-party APIs: no more accounts to create, API keys to provision, accesses to configure, unplanned downtime, etc.

Description

The Books API provides information about book reviews and The New York Times bestsellers lists.

Other APIs by nytimes.com

Community API

Get access to comments from registered users on New York Times articles. NOTE: This API is deprecated.

TimesTags API

With the TimesTags API, you can mine the riches of the New York Times tag set. The TimesTags service matches your query to the controlled vocabularies that fuel NYTimes.com metadata. You supply a string of characters, and the service returns a ranked list of suggested terms.

Geographic API

The Geographic API extends the Semantic API, using a linked data approach to enhance location concepts used in The New York Times' controlled vocabulary and data resources which combine them with the GeoNames database, an authoritative and free to use database of global geographical places, names and features.

Movie Reviews API

With the Movie Reviews API, you can search New York Times movie reviews by keyword and get lists of NYT Critics' Picks.

Archive API

The Archive API provides lists of NYT articles by month going back to 1851. You can use it to build your own local database of NYT article metadata.

Times Newswire API

With the Times Newswire API, you can get links and metadata for Times articles and blog posts as soon as they are published on NYTimes.com. The Times Newswire API provides an up-to-the-minute stream of published items.

Article Search API

With the Article Search API, you can search New York Times articles from Sept. 18, 1851 to today, retrieving headlines, abstracts, lead paragraphs, links to associated multimedia and other article metadata.
Note: In URI examples and field names, italics indicate placeholders for variables or values. Brackets [ ] indicate optional items. Parentheses ( ) are not a convention — when URIs include parentheses, interpret them literally.

Semantic API

The Semantic API complements the Articles API. With the Semantic API, you get access to the long list of people, places, organizations and other locations, entities and descriptors that make up the controlled vocabulary used as metadata by The New York Times (sometimes referred to as Times Tags and used for Times Topics pages).
The Semantic API uses concepts which are, by definition, terms in The New York Times controlled vocabulary. Like the way facets are used in the Articles API, concepts are a good way to uncover articles of interest in The New York Times archive, and at the same time, limit the scope and number of those articles. The Semantic API maps to external semantic data resources, in a fashion consistent with the idea of linked data. The Semantic API also provides combination and relationship information to other, similar concepts in The New York Times controlled vocabulary.

Most Popular API

Get lists of NYT Articles based on shares, emails, and views.

Top Stories

The Top Stories API provides lists of articles and associated images by section.

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SearchLy API v1

Introduction
The SearchLy API provides similarity searching based on song lyrics.
Operations
The API allows for the /similarity/bysong operation, which allows clients to search the similarity for an existing song in the database. Also, the API has an additional /similarity/bycontent endpoint which allows clients to search similarity given a free String input through a JSON request body. Additional /song/search operation is available for searching songs given a query String.
Endpoint
The API endpoint for the SearchLy API v1 is as follows:
Motivation
This project was built in order to create an API for searching similarities based on song lyrics. There are a lot of songs in the industry and most of them are talking about the same topic. What I wanted to prove with SearchLy was to estimate how similar are two songs between them based on the meaning of their lyrics.
SearchLy is using a database of 100k songs from AZLyrics, using this scraper, which is being updated periodically. Then, using word2vec and NMSLIB, it was possible to create an index where you can search similarities using the k-nearest neighbors (KNN) algorithm.
> Note: I am currently using a micro-instance from DigitalOcean where the API is deployed, so you should expect a bad performance. However, if this API becomes popular I will deploy it in a bigger instance.

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