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Note Post comments: Dates Scraper
Created by
ScrapingMonkey
Note: Extract available source publication or creation dates from supplied records, retaining original public source context.
Note Post Comments Scraperscrapingmonkey/note-post-comments-scraper
Input
Status
Type
Key
+52 fieldsTextNumberBooleanListObject
Input
π Pages per post:1
π₯ Inputs(required):https://note.com/kensuu/n/n1f4dd1a22242
Output fields
Input
Status
Type
Key
ID
Post key
Post URL
Post title
Text
Created at
Updated at
Likes count
Replies count
Is edited
Is root
Is creator liked
Is creator replied
User ID
User key
User username
User name
User URL
User description
User profile image URL
User header image URL
User followers count
User following count
User follow counts visible
User is official
To user ID
To user key
To user username
To user name
To user URL
To user description
To user profile image URL
To user header image URL
To user followers count
To user following count
To user follow counts visible
To user is official
Latest creator reply key
Latest creator reply text
Latest creator reply created at
Latest creator reply user ID
Latest creator reply user key
Latest creator reply user username
Latest creator reply user name
Latest creator reply user URL
Latest creator reply user description
Latest creator reply user profile image URL
Latest creator reply user header image URL
Latest creator reply user followers count
Latest creator reply user following count
Latest creator reply user follow counts visible
Latest creator reply user is official
Sign up on Apify01
Create your Apify account to access the Note Post Comments 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.
