Wikipedia Extraction API

Wikipedia Extraction API

Wikipedia Extraction Infobox API retrieve structured data from Wikipedia infoboxes for knowledge graphs, data analysis, content enrichment, and more.

API description

About the API:  


The Wikipedia Extraction API is a powerful tool designed to extract structured data from Wikipedia infoboxes. Developed to facilitate Wikipedia data retrieval and analysis, this API allows users to access and extract information contained in infoboxes, which are commonly used to present key details about various topics on Wikipedia pages.

Infoboxes play a key role in organizing and summarizing essential data related to a wide range of topics, such as people, places, organizations, events and others. They provide a structured layout that includes specific fields such as name, date of birth, occupation, location and other relevant attributes, making it easy for readers to quickly understand important information.

The Wikipedia Extraction API leverages the vast amount of data available in Wikipedia and provides a simple interface to access and retrieve data from infoboxes programmatically. This allows developers, researchers and data enthusiasts to tap into the wealth of knowledge stored in Wikipedia and use it in their applications, research projects or data analysis workflows.

By using the infobox extraction API, users can specify the Wikipedia page of interest and retrieve the corresponding infobox data in a machine-readable format, such as JSON. This structured output facilitates parsing and integration into various software systems and databases.

The API supports a wide range of programming languages, making it accessible to developers from different domains. Users can get data from infobox quickly and easily, providing flexibility and ease of integration into existing applications and workflows.

One of the main advantages of the infobox extraction API is its ability to handle variations in infobox structures across Wikipedia pages. Infoboxes can vary in layout, field names and attributes depending on the topic, but the API intelligently normalizes the extracted data, making it consistent and reliable regardless of the specific infobox structure.

The Wikipedia Extraction API has applications in a variety of domains. Users can use it to collect data for academic studies, data scientists can leverage it for large-scale data analysis, and developers can incorporate it into their applications to provide enhanced information and insights to their users.

In summary, the Wikipedia Extraction API is a valuable tool for accessing structured data from Wikipedia infoboxes. Its simplicity, flexibility and ability to handle variations in infobox structures make it a reliable option for extracting key information from Wikipedia and integrating it into various applications, research projects and data analysis workflows.

 

What this API receives and what your API provides (input/output)?

It will receive parameters and provide you with a JSON.

 

What are the most common uses cases of this API?

  1. Knowledge Graph Generation: The API can be used to extract structured data from Wikipedia infoboxes to build knowledge graphs. By retrieving key information such as entities, attributes and relationships, developers can create comprehensive knowledge graphs representing various domains.

  2. Data analysis: Users can use the API to extract data from Wikipedia information tables for analysis purposes. This may involve studying trends, patterns or correlations within specific categories, such as demographics, historical events or scientific concepts.

  3. Content enrichment: Users can enhance their applications or websites by integrating data extracted from Wikipedia infoboxes. This can provide users with additional information on various topics, making the content more complete and engaging.

  4. Recommender systems: Data extracted from Wikipedia infoboxes can be used to enrich recommender systems. By incorporating attributes such as genres, release dates or locations, developers can improve the accuracy of their recommendation algorithms, whether for movies, books or other related domains.

  5. Entity recognition and extraction: The API can assist in entity recognition and extraction tasks by extracting entities and their associated attributes from Wikipedia infoboxes. This can be useful in natural language processing applications, information retrieval systems and text mining tasks.

     

Are there any limitations to your plans?

Besides the number of API calls, there is no other limitation.

API Documentation

Endpoints


To use this endpoint, all you have to do is insert a Wikipedia URL in the parameter.



                                                                            
GET https://zylalabs.com/api/2215/wikipedia+extraction+api/2064/extraction+data+infobox
                                                                            
                                                                        

Extraction data Infobox - Endpoint Features
Object Description
wikiurl [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Place of birth":{"value":"Walthamstow, England","url":"https://en.wikipedia.org/wiki/Walthamstow","wikiUrl":"/wiki/Walthamstow"},"Position(s)":{"value":"Striker","url":"https://en.wikipedia.org/wiki/Striker_(association_football)","wikiUrl":"/wiki/Striker_(association_football)"},"Years":"Team","Current team":{"value":"Tottenham Hotspur","url":"https://en.wikipedia.org/wiki/Tottenham_Hotspur_F.C.","wikiUrl":"/wiki/Tottenham_Hotspur_F.C."},"2001–2002":{"value":"Arsenal","url":"https://en.wikipedia.org/wiki/Arsenal_F.C._Under-21s_and_Academy","wikiUrl":"/wiki/Arsenal_F.C._Under-21s_and_Academy"},"2015–":{"value":"England","url":"https://en.wikipedia.org/wiki/England_national_football_team","wikiUrl":"/wiki/England_national_football_team"},"2004–2009":{"value":"Tottenham Hotspur","url":"https://en.wikipedia.org/wiki/Tottenham_Hotspur_F.C._Reserves_and_Academy","wikiUrl":"/wiki/Tottenham_Hotspur_F.C._Reserves_and_Academy"},"2012":{"value":"→ Millwall (loan)","url":"https://en.wikipedia.org/wiki/Millwall_F.C.","wikiUrl":"/wiki/Millwall_F.C."},"2011":{"value":"→ Leyton Orient (loan)","url":"https://en.wikipedia.org/wiki/Leyton_Orient_F.C.","wikiUrl":"/wiki/Leyton_Orient_F.C."},"Medal record Men's football Representing England UEFA European Championship Runner-up 2020 UEFA Nations League 2019":"","2010":{"value":"England U17","url":"https://en.wikipedia.org/wiki/England_national_under-17_football_team","wikiUrl":"/wiki/England_national_under-17_football_team"},"2002–2004":"Ridgeway Rovers","Number":"10","2013–2015":{"value":"England U21","url":"https://en.wikipedia.org/wiki/England_national_under-21_football_team","wikiUrl":"/wiki/England_national_under-21_football_team"},"2004":{"value":"Watford","url":"https://en.wikipedia.org/wiki/Watford_F.C.","wikiUrl":"/wiki/Watford_F.C."},"2010–2012":{"value":"England U19","url":"https://en.wikipedia.org/wiki/England_national_under-19_football_team","wikiUrl":"/wiki/England_national_under-19_football_team"},"2013":{"value":"England U20","url":"https://en.wikipedia.org/wiki/England_national_under-20_football_team","wikiUrl":"/wiki/England_national_under-20_football_team"},"2012–2013":{"value":"→ Norwich City (loan)","url":"https://en.wikipedia.org/wiki/Norwich_City_F.C.","wikiUrl":"/wiki/Norwich_City_F.C."},"Height":{"value":"6 ft 2 in (1.88 m)[3]","url":"https://en.wikipedia.org#cite_note-PremProfile-3","wikiUrl":"#cite_note-PremProfile-3"},"2009–":{"value":"Tottenham Hotspur","url":"https://en.wikipedia.org/wiki/Tottenham_Hotspur_F.C.","wikiUrl":"/wiki/Tottenham_Hotspur_F.C."},"1999–2001":"Ridgeway Rovers","Date of birth":{"value":"(1993-07-28) 28 July 1993 (age 29)[2]","url":"https://en.wikipedia.org#cite_note-2","wikiUrl":"#cite_note-2"},"Full name":{"value":"Harry Edward Kane[1]","url":"https://en.wikipedia.org#cite_note-Hugman-1","wikiUrl":"#cite_note-Hugman-1"}}
                                                                                                                                                                                                                    
                                                                                                    

Extraction data Infobox - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/2215/wikipedia+extraction+api/2064/extraction+data+infobox?wikiurl=https://en.wikipedia.org/wiki/Harry_Kane' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Wikipedia Extraction API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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The API may impose limits to ensure fair use and prevent abuse. Please refer to the API plans for specific details on limitations.

Yes, the API is designed for easy integration and typically supports various programming languages and protocols, such as SDK.

The Wikipedia Extraction API is a tool that allows users to extract structured data from Wikipedia infoboxes programmatically.

The API takes a Wikipedia page as input and retrieves the corresponding infobox data in a machine-readable format, such as JSON.

You can extract various types of data, including names, dates, locations, occupations, and other attributes present in the infoboxes of Wikipedia pages.

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100%
 Response Time
857ms

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