Scrape an Account's Most Popular Tweets
Surfaces a single X (Twitter) account's best-performing tweets. Set an account URL and date range, minLikes to a high threshold and sort=Top, and the scraper returns only that account's high-engagement tweets with 40 fields each: fullText, likeCount, retweetCount, replyCount, viewCount, media, hashtags and author info. Ideal for finding an account's viral hits. Export to CSV or JSON.
Input
Output fields
Sign up on Apify or log in
The Twitter Profile Scraper - All X Tweets by Date Range Actor is ready to run with the inputs already set for "Scrape an Account's Most Popular Tweets". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape an Account's Most Popular Tweets" task
The Twitter Profile Scraper - All X Tweets by Date Range Actor will start running based on the input automatically. You can also change all the input fields, like account urls, start date (yyyy-mm-dd), and more, to match your specific use case.
Receive the "Scrape an Account's Most Popular Tweets" 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 tweet id, author handle, author name, 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 "Scrape an Account's Most Popular Tweets" task via API.
