Collect political sentiment data for 2026 midterms

Created by

Xquik

Actor

X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result

Collect source-tagged posts about Donald Trump, Hakeem Jeffries, and Mike Johnson for NLP analysis. X posts are not representative polling.

Try for free

X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Resultxquik/x-tweet-scraper

Text

Tweet URL

Author

Author username

+20 fields

Input

Search terms:"Donald Trump" (approve OR disapprove OR support OR oppose) lang:en -filter:nativeretweets+2

Sort by:Latest + Top

Max items:1000

Tag each result with its search term:true

Output variant:rich

Output fields

Text

Tweet URL

Author

Author username

Tweet ID

Created at

Likes

Replies

Retweets

Quotes

Views

Bookmarks

Media URLs

Language

Retweet time

Status

Message

Actor version

Result type

Reply coverage

Source Tweet ID

Source target

Engagement mode

Search term

How it works

Sign up on Apify or log in

The X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result Actor is ready to run with the inputs already set for "Collect political sentiment data for 2026 midterms". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect political sentiment data for 2026 midterms" task

The X (Twitter) Tweet Scraper | $0.00015/Tweet | Pay-Per-Result Actor will start running based on the input automatically. You can also change all the input fields, like search terms, sort by, and more, to match your specific use case.

Receive the "Collect political sentiment data for 2026 midterms" 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 text, tweet url, author, 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 "Collect political sentiment data for 2026 midterms" task via API.