Extract Wikipedia infobox data into a table with AI

Created by

Yukai Lin

Actor

AI Web Scraper - Extract Structured Data & URL to JSON

Pull infobox facts from Wikipedia articles into clean JSON columns. Example: Python, Rust and Go with designer, developer, first release year, typing discipline, license and latest stable release. Change the field list to extract data about companies, cities, films or any topic Wikipedia covers.

Try for free

AI Web Scraper - Extract Structured Data & URL to JSONtidytools/ai-web-data-extractor

URL

Title

Data

Item #

+6 fields

Input

URLs or domains:https://en.wikipedia.org/wiki/Python_(programming_language)+2

Fields to extract:{7 fields}

Output fields

URL

Title

Data

Item #

Items may be incomplete

Input

Charged

Error type

Error

How it works

Sign up on Apify or log in

The AI Web Scraper - Extract Structured Data & URL to JSON Actor is ready to run with the inputs already set for "Extract Wikipedia infobox data into a table with AI". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Wikipedia infobox data into a table with AI" task

The AI Web Scraper - Extract Structured Data & URL to JSON Actor will start running based on the input automatically. You can also change all the input fields, like URLs or domains and fields to extract, to match your specific use case.

Receive the "Extract Wikipedia infobox data into a table with AI" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as URL, title, data, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract Wikipedia infobox data into a table with AI" task via API.