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Twitter search text for audience research

Keep post text beside query and author identity to find recurring language, questions and opinions.

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Twitter Search Scraper
Twitter Search Scraperreapx/twitter-search-scraper
Post ID
Author numeric ID
Query this row answered
Full post text
Text
Number
Boolean
List
Object

Input

Which sources?:artificial intelligence+1
How many results?:3

Output fields

Post ID
Author numeric ID
Query this row answered
Full post text

How it works

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The Twitter Search Scraper Actor is ready to run with the inputs already set for "Twitter search text for audience research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Twitter search text for audience research" task

The Twitter Search Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which sources? and how many results?, to match your specific use case.

Receive the "Twitter search text for audience research" 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 post id, author numeric id, query this row answered, 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 "Twitter search text for audience research" task via API.

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Integrate "Twitter search text for audience research" into your workflow

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