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Extract Named Partners and Partner Tier Structure

Find each company's partners page and read the named partners and the tier structure off it. Clay-ready channel research with the source URL kept.

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Page Finder and Extractor
Page Finder and Extractormambalabs/page-finder-extractor
Input Key
Domain
Company Name
Mode
+22 fields
Text
Number
Boolean
List
Object

Input

Company domains:accenture.com+4
Page types to find:partners
Fields to extract on any page:copyright+12
Extract page type specific fields:true
Max pages per page type:4
Skip the cache:false

Output fields

Input Key
Domain
Company Name
Mode
Page Types Requested
Page Types Found
Page Types Not Found
Page Types Undetermined
Best Confidence
Findings Count
Findings Rejected Count
Coverage
Fetch Status
Render Mode
Pages Reached
Requests Made
Blocked Pages
Javascript Only Pages
Robots Disallowed Paths
Homepage Links Seen
Sitemap Urls Seen
Cache Hit
Run Date
Row Status
Error Reason
Billable Events Json

How it works

Sign up on Apify or log in

The Page Finder and Extractor Actor is ready to run with the inputs already set for "Extract Named Partners and Partner Tier Structure". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract Named Partners and Partner Tier Structure" task

The Page Finder and Extractor Actor will start running based on the input automatically. You can also change all the input fields, like company domains, page types to find, and more, to match your specific use case.

Receive the "Extract Named Partners and Partner Tier Structure" 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 input key, domain, company name, 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 Named Partners and Partner Tier Structure" task via API.

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Connect "Extract Named Partners and Partner Tier Structure" with 100+ integrations, or run it via API or MCP.

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