Fortune 500 Companies Data from Wikidata

Created by

Logiover

Actor

Wikidata Scraper — Search, Entities & SPARQL API

Retrieve detailed information on Fortune 500 companies, including founding dates, employee counts, and country details. Get structured data effortlessly.

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Wikidata Scraper — Search, Entities & SPARQL APIlogiover/wikidata-scraper

QID

Label

Description

Instance Of

+5 fields

Input

Mode:sparql

Search Query (optional):Douglas Adams

Entity IDs (QIDs, optional):Q42+2

SPARQL Query (optional):SELECT ?company ?companyLabel ?country ?countryLabel ?founded ?employees WHERE { ?company wdt:P31 wd:Q6881511 . ?company wdt:P17 wd:Q30 . OPTIONAL { ?company wdt:P571 ?founded . } OPTIONAL { ?company wdt:P1128 ?employees . } OPTIONAL { ?company wdt:P17 ?country . } SERVICE wikibase:label { bd:serviceParam wikibase:language "en". } } ORDER BY ?companyLabel LIMIT 500

Language:en

Max Results:500

Proxy Configuration:{1 field}

Output fields

QID

Label

Description

Instance Of

Aliases

Wikidata URL

Claims (JSON)

SPARQL Bindings

Mode

How it works

Sign up on Apify or log in

The Wikidata Scraper — Search, Entities & SPARQL API Actor is ready to run with the inputs already set for "Fortune 500 Companies Data from Wikidata". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Fortune 500 Companies Data from Wikidata" task

The Wikidata Scraper — Search, Entities & SPARQL API Actor will start running based on the input automatically. You can also change all the input fields, like mode, search query (optional), and more, to match your specific use case.

Receive the "Fortune 500 Companies Data from Wikidata" 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 QID, label, description, 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 "Fortune 500 Companies Data from Wikidata" task via API.