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Track Twitter Brand Monitoring

Collects up to 30 recent English posts that mention @Notion on X as an example brand, excluding retweets, with text, author, engagement and post URL. Swap in your brand handle and schedule it for ongoing brand monitoring.

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X (Twitter) Tweet Scraper | Search, Hashtags & Profiles
X (Twitter) Tweet Scraper | Search, Hashtags & Profileskhadinakbar/x-tweet-scraper
Tweet ID
Author Handle
Author Display Name
Tweet Text (280 chars)
+6 fields
Text
Number
Boolean
List
Object

Input

Start URLs
Sort Order:Latest
Max Tweets Per Query:30
Language Filter:en
Minimum Likes:0
Minimum Retweets:0
Minimum Replies:0
Only Verified Accounts:false
Only Tweets With Images:false
Only Tweets With Videos:false
Exclude Reply Tweets:false
Exclude Retweets:true
Include Source Query in Output:false

Output fields

Tweet ID
Author Handle
Author Display Name
Tweet Text (280 chars)
Like Count
Retweet Count
Reply Count
View Count
Tweet Created At
Tweet URL

How it works

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 "Track Twitter Brand Monitoring". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Track Twitter Brand Monitoring" 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 "Track Twitter Brand Monitoring" 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 "Track Twitter Brand Monitoring" task via API.

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Integrate "Track Twitter Brand Monitoring" into your workflow

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