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Pinterest Pin: Like Counts Scraper
Created by
ScrapingMonkey
Pinterest: Extract available public like and favorite counts from supplied records, retaining original public source context.
Pinterest Pin Scraperscrapingmonkey/pinterest-pin-scraper
Input
Status
Image URL
URL
+76 fieldsTextNumberBooleanListObject
Input
📥 Inputs(required):https://www.pinterest.com/pin/1020909809261285009/
Output fields
Input
Status
Image URL
URL
ID
Title
Description
Created at
Link
Domain
Alt text
Auto alt text
SEO title
SEO description
SEO alt text
Dominant color
Images
Videos
Has video
Is video raw
Is repin
Is promoted
Repin count
Comment count
Favorite user count
Share count
Comments disabled
Aggregated pin ID
Aggregated comment count
Aggregated save count
Aggregated done count
Reactions
Author ID
Author username
Author name
Author URL
Author image URL
Author image large URL
Author is verified
Author is verified merchant
Author is private
Author follower count
Board ID
Board URL
Board name
Board description
Board pin count
Board follower count
Board section count
Board sectionless pin count
Board collaborator count
Board is collaborative
Board privacy
Board category
Board cover image URL
Board cover image HD URL
Board last modified at
Board owner ID
Board owner username
Board owner name
Board owner URL
Board owner image URL
Board owner image large URL
Board owner is verified
Board owner is verified merchant
Board owner is private
Board owner follower count
Board images
Section ID
Section title
Section slug
Section description
Section pin count
Section URL
Product metadata ID
Product price value raw
Product price currency
Product availability
Product is out of stock
Product is stale
Sign up on Apify01
Create your Apify account to access the Pinterest Pin 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.
