Go to example tasks
Monitor a brand
A preconfigured run of Hacker News Scraper — Stories & Comments: Monitor a brand. Input — query: your brand · tags: story, comment · sortBy: date · maxResults: 100. Results are returned as JSON rows in the default dataset; run it as-is or change the input and run your own.
Hacker News Scraper — Stories & Commentsponderable_hydrometer/hackernews-scraper
Id
Type
Title
Url
+8 fieldsTextNumberBooleanListObject
Input
Search query:your brand
Tags filter:story+1
Sort by:date
Max results:100
Output fields
Id
Type
Title
Url
Author
Points
Num Comments
Story Text
Comment Text
Parent Id
Story Id
Tags
Sign up on Apify01
Create your Apify account to access the Hacker News Scraper — Stories & Comments.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
