Extract Twitter Recommendations
Searches X for recent posts asking for recommendations ('can anyone recommend' plus CRM as an example) and returns up to 30 rows with text, author handle, author name, engagement and post URL. Swap in your product category.
Input
Output fields
Sign up on Apify or log in
The X (Twitter) Tweet Scraper | Search, Hashtags & Profiles Actor is ready to run with the inputs already set for "Extract Twitter Recommendations". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Extract Twitter Recommendations" task
The X (Twitter) Tweet Scraper | Search, Hashtags & Profiles Actor will start running based on the input automatically. You can also change all the input fields, like start urls, sort order, and more, to match your specific use case.
Receive the "Extract Twitter Recommendations" 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 display 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 "Extract Twitter Recommendations" task via API.
