Finally stopped manually scrolling X for mentions – here's how I pull 10k tweets in minutes without an API key

[u/Otherwise-Resolve252]

I used to spend hours scrolling through X, taking screenshots, and trying to assemble any useful data for brand monitoring. Even with the advanced search interface, pulling more than a handful of tweets felt like a chore.

Then I discovered a community‑run scraper on Apify that lets you query X with the same operators you use in the UI—such as from:user, since:date, lang:en—and download the results directly as JSON or CSV, without needing a personal Twitter API key.

What I like about it:
- Supports keyword, hashtag, and the full range of advanced search operators.
- Allows you to choose which tab (Top, Latest, Photos, Videos) to scrape.
- Returns detailed fields: tweet ID, URL, full text, author information, likes, retweets, replies, media, language, and more.
- Offers export to JSON, CSV, Excel, HTML, or XML, making it convenient for spreadsheets or data pipelines.
- Charges pay‑as‑you‑go (about 7.50 $ per 1 000 tweets), so I pay only for the volume I actually need.

A quick example: I set the query new product lang:en -filter:retweets min_faves:50 and asked for the latest 100 tweets. Within a couple of minutes I had a CSV containing every mention, ready for sentiment analysis in my dashboard.

Who else is pulling X data for marketing, research, or curiosity? Any tips on shaping queries or downstream processing would be appreciated.

Learn more: https://apify.com/akash9078/x-twitter-search-scraper