Analyze Hacker News comments for buyer intent
Created by
Skootle
Turn a public Hacker News discussion into ranked buyer intent, objections, product questions, feature requests, and response priorities.
HN Buyer Intent Signalsskootle/social-comment-buyer-intent-intelligence
Record type
Platform
Id
Classification
+5 fieldsTextNumberBooleanListObject
Input
Hacker News discussion URLs:https://news.ycombinator.com/item?id=8863
Comment dataset IDs
Inline comments
Maximum comments per target:25
Maximum pages:1
Timeout seconds:120
Language:en
Keyword filters
Enabled classifications:purchase_intent+8
Maximum total charge (USD):0.3
Output fields
Record type
Platform
Id
Classification
Urgency
Theme
Text
Confidence
Source url
Sign up on Apify01
Create your Apify account to access the HN Buyer Intent Signals.
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.
