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Analyze tweet engagement rates

Analyze tweet engagement rates. Prefilled, one-click run, export to JSON, CSV or Excel. No login or API key.

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X (Twitter) User Tweets Scraper
X (Twitter) User Tweets Scrapermyagizm/x-tweets-scraper
CreatedAt
Text
LikeCount
RetweetCount
+6 fields
Text
Number
Boolean
List
Object

Input

X (Twitter) usernames:spacex
Max tweets per account:200
Include reposts:false
Highlights only:false

Output fields

CreatedAt
Text
LikeCount
RetweetCount
ReplyCount
ViewCount
Url
TweetsMode
Source
IsPinned

How it works

Sign up on Apify or log in

The X (Twitter) User Tweets Scraper Actor is ready to run with the inputs already set for "Analyze tweet engagement rates". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze tweet engagement rates" task

The X (Twitter) User Tweets Scraper Actor will start running based on the input automatically. You can also change all the input fields, like x (twitter) usernames, max tweets per account, and more, to match your specific use case.

Receive the "Analyze tweet engagement rates" 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 createdat, text, likecount, 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 "Analyze tweet engagement rates" task via API.

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Integrate "Analyze tweet engagement rates" into your workflow

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