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Collect pinned post references from Twitter profiles
Collect pinned post identifiers, names and source-profile links from Twitter usernames to prepare a featured-content reference list. Content editors can use the IDs for a later review they arrange themselves. The task returns profile references without fetching the pinned post text or its metrics.
Twitter Profile Scraper โ X Bios, Counts & Linksscrapingmonkey/twitter-profile-details-scraper
Input
Status
ID
Username
+42 fieldsTextNumberBooleanListObject
Input
๐ค X usernames(required):NASA
Output fields
Input
Status
ID
Username
Name
Profile URL
Description
Location
Created At
Created Timestamp
Followers Count
Following Count
Posts Count
Media Posts Count
Likes Given Count
Highlights Count
Avatar URL
Avatar URL HD
Banner URL
Website / URL
Website / Expanded URL
Bio Links / URL
Bio Links / Expanded URL
Bio Links / Display URL
Is Verified
Verified Type
Is Blue Verified
Is Identity Verified
Verification Description
Verified Since At
Is Protected
Possibly Sensitive
Professional Type
Affiliates Count
Creator Subscriptions Count
Can Highlight Posts
Can Receive Messages
Can Be Media Tagged
Description Language
Profile Image Shape
Pinned Post Ids
Birthdate / Day
Birthdate / Month
Birthdate / Year
Birthdate / Visibility
Birthdate / Year Visibility
Sign up on Apify01
Create your Apify account to access the Twitter Profile Scraper โ X Bios, Counts & Links.
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.
