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Note Magazine posts: Comment Counts Scraper
Created by
ScrapingMonkey
Note: Extract available public comment counts from supplied records, retaining original public source context.
Note Magazine Posts Scraperscrapingmonkey/note-magazine-posts-scraper
Input
Status
Type
ID
+36 fieldsTextNumberBooleanListObject
Input
📄 Pages per magazine:1
📥 Inputs(required):https://note.com/info/m/m4917544e3b31
Output fields
Input
Status
Type
ID
Key
URL
Title
Post type
Published at
Description
Preview text
Price jpy
Is paid
Can read
Likes count
Anonymous likes count
Comments count
Image count
Thumbnail URL
Is pinned
Hashtags
Author ID
Author key
Author username
Author name
Author URL
Author description
Author profile image URL
Author header image URL
Author followers count
Author following count
Author follow counts visible
Author is official
Is pinned in magazine
Magazine key
Magazine name
Magazine URL
Magazine description
Magazine posts count
Magazine price jpy
Sign up on Apify01
Create your Apify account to access the Note Magazine Posts Scraper.
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.
