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Slashdot Archive Search

Run Slashdot Scraper for market and competitor research. Export structured results for research, reporting, integrations, and repeatable Apify workflows.

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Slashdot Scraper — Tech News Stories & Comment Counts
Slashdot Scraper — Tech News Stories & Comment Countsmuhammadafzal/slashdot-scraper
Title
Slashdot URL
Source domain
Slashdot author
+4 fields
Text
Number
Boolean
List
Object

Input

Slashdot URLs
URL(required):https://slashdot.org/archive.pl?keyword=search&op=sections
Maximum stories:1
Maximum pages:1
Request delay (ms):0

Output fields

Title
Slashdot URL
Source domain
Slashdot author
Posted time
Topic
Comments
Section

How it works

Sign up on Apify or log in

The Slashdot Scraper — Tech News Stories & Comment Counts Actor is ready to run with the inputs already set for "Slashdot Archive Search". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Slashdot Archive Search" task

The Slashdot Scraper — Tech News Stories & Comment Counts Actor will start running based on the input automatically. You can also change all the input fields, like slashdot urls, maximum stories, and more, to match your specific use case.

Receive the "Slashdot Archive Search" 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 title, slashdot url, source domain, 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 "Slashdot Archive Search" task via API.

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