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Consumer brands

Consumer brands. Extract structured company data from Wikipedia infoboxes — founded year, headquarters, revenue, employees, key people, industry, products, owner/parent, subsidiaries.

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Wikipedia Company Scraper — Founded, HQ, Revenue, Employees
Wikipedia Company Scraper — Founded, HQ, Revenue, Employeesfoxlabs/wikipedia-company-scraper
Company
Website
LEI
ISIN
+10 fields
Text
Number
Boolean
List
Object

Input

Mode:lookup
Company names or Wikipedia URLs:Coca-Cola+1
Wikipedia categories:Companies listed on the New York Stock Exchange
Subcategory depth:0
Include Wikidata identifiers:true
Include infobox financials:true
Pageview history (months):12
Max results:200

Output fields

Company
Website
LEI
ISIN
Ticker
Exchange
Industry
Country
HQ
Founded
Employees
Parent
Wikidata
Wikipedia

How it works

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The Wikipedia Company Scraper — Founded, HQ, Revenue, Employees Actor is ready to run with the inputs already set for "Consumer brands". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Consumer brands" task

The Wikipedia Company Scraper — Founded, HQ, Revenue, Employees Actor will start running based on the input automatically. You can also change all the input fields, like mode, company names or wikipedia urls, and more, to match your specific use case.

Receive the "Consumer brands" 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 company, website, LEI, 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 "Consumer brands" task via API.

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