Scrape Viral Tweets by Keyword & Engagement
Finds the most viral tweets on a topic. Set a keyword (here 'ai') plus Minimum_likes and Minimum_reposts thresholds, and the scraper returns only high-engagement tweets matching the term, ranked by Top, with 55 fields each: fullText, likeCount, repostCount, viewCount, media and author stats. Ideal for spotting viral content and top voices on a subject. Export to CSV or JSON.
Input
Output fields
Sign up on Apify or log in
The Twitter Advanced Search Scraper - Export X Tweets & Media Actor is ready to run with the inputs already set for "Scrape Viral Tweets by Keyword & Engagement". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Scrape Viral Tweets by Keyword & Engagement" task
The Twitter Advanced Search Scraper - Export X Tweets & Media Actor will start running based on the input automatically. You can also change all the input fields, like search terms (one keyword/phrase per line), minimum likes, and more, to match your specific use case.
Receive the "Scrape Viral Tweets by Keyword & Engagement" 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 url, created at, author handle, 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 Viral Tweets by Keyword & Engagement" task via API.
Integrate "Scrape Viral Tweets by Keyword & Engagement" into your workflow
Connect "Scrape Viral Tweets by Keyword & Engagement" with 100+ integrations, or run it via API or MCP.
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