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Analyze link scope on known pages

Inspect a small set of known pages to see how many links point internally, externally, or to onion hosts for scope planning.

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Dark Web Scraper - Tor .onion Page Extractor
Dark Web Scraper - Tor .onion Page Extractorkhadinakbar/dark-web-scraper
URL
Route
Links
.onion links
+4 fields
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://community.torproject.org/
Routing mode:auto
Max pages:2
Max crawl depth:1
Crawl external hosts:false

Output fields

URL
Route
Links
.onion links
Internal
External
Extracted links
Fetched

How it works

Sign up on Apify or log in

The Dark Web Scraper - Tor .onion Page Extractor Actor is ready to run with the inputs already set for "Analyze link scope on known pages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze link scope on known pages" task

The Dark Web Scraper - Tor .onion Page Extractor Actor will start running based on the input automatically. You can also change all the input fields, like start urls, routing mode, and more, to match your specific use case.

Receive the "Analyze link scope on known pages" 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, route, links, 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 "Analyze link scope on known pages" task via API.

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