Analyze Hacker News comments for buyer intent

Created by

Skootle

Actor

HN Buyer Intent Signals

Turn a public Hacker News discussion into ranked buyer intent, objections, product questions, feature requests, and response priorities.

Try for free

HN Buyer Intent Signalsskootle/social-comment-buyer-intent-intelligence

Record type

Platform

Classification

+5 fields

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

Classification

Urgency

Theme

Text

Confidence

Source url

How it works

Sign up on Apify or log in

The HN Buyer Intent Signals Actor is ready to run with the inputs already set for "Analyze Hacker News comments for buyer intent". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze Hacker News comments for buyer intent" task

The HN Buyer Intent Signals Actor will start running based on the input automatically. You can also change all the input fields, like hacker news discussion urls, comment dataset ids, and more, to match your specific use case.

Receive the "Analyze Hacker News comments for buyer intent" 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 record type, platform, id, 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 Hacker News comments for buyer intent" task via API.