Social Listening on X: Track Brand Mentions
Search mentions of a brand and get the posts back with author, date and engagement counts. Add min_faves to skip the noise and keep the ones with reach.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Search terms (needs your X cookies) | @Nike min_faves:10 | Full X search queries (supports advanced operators like from:, since:, filter:media, min_faves:). |
Search sort | Latest | For search terms: newest tweets (Latest) or most relevant (Top). |
Max tweets | 100 | Maximum number of tweets to collect across all inputs. |
Pricing
$0.00014 per tweet = $0.14 per 1,000
| You are charged for | When | Price |
|---|---|---|
| Tweet returned | Charged once per unique tweet returned in the dataset. Failed or empty runs are not charged. | $0.00014 |
Pay-per-event pricing: you are billed per result, not per subscription. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-19, and they are what you are actually charged.
What you get
A structured dataset — each result includes fields like:
idurltextcreatedAtlangreplyCountretweetCountlikeCountquoteCountviewCounthashtagsmentionsurlsmediaauthorExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Tweet Scraper
- Try
- Twitter Archive Download for Any Public AccountDownload All Tweets From an Account on XScrape Tweets by Hashtag or KeywordTwitter Profile Scraper for Any Public AccountTwitter Dataset: Export an Account's Posts to CSVTwitter Advanced Search, Exported as Data
Built on Tweet Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Social Media Scrapers
- Platforms
- X (Twitter)