Extract company facts from Wikipedia articles

Created by

Heim

Actor

AI Web Scraper: Prompt to JSON

Pull structured facts from Wikipedia company articles: founding year, founders, headquarters city and industry, as JSON that follows your schema. 3 sample articles. $0.004 per extracted page ($4 per 1,000); failed pages are free. AI-extracted values may contain mistakes.

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AI Web Scraper: Prompt to JSONkaz_kakyo/ai-web-scraper

URL

Status

Extracted data

Model

Input

Start URLs(required):https://en.wikipedia.org/wiki/Tesla,_Inc.+2

Extraction prompt(required):Extract the company name, founding year, founders, headquarters city and industry.

Output JSON Schema (optional):{3 fields}

Max pages:10

Output fields

URL

Status

Extracted data

Model

How it works

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Start the "Extract company facts from Wikipedia articles" task

The AI Web Scraper: Prompt to JSON Actor will start running based on the input automatically. You can also change all the input fields, like start urls, extraction prompt, and more, to match your specific use case.

Receive the "Extract company facts from Wikipedia articles" 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, status, extracted 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 company facts from Wikipedia articles" task via API.