Scrape #Bitcoin Tweets
Track popular #Bitcoin tweets with 50+ likes, including author, engagement & timestamps. No API key needed. Export anywhere.
How it works
- 1Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
- 2Set the inputs
Adjust
twitterHandles,startUrls,searchTerms(sensible defaults are pre-filled). - 3Click Run
The tool runs on Apify’s cloud and collects the data for you.
- 4Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.
Inputs
| Field | What it does | Type |
|---|---|---|
twitterHandles | X / Twitter usernames (with or without @) to scrape recent tweets from. The most reliable, fully keyless mode. Example: elonmusk, nasa. | array |
startUrls | Paste X/Twitter URLs directly — a profile URL (https://x.com/nasa) scrapes its timeline, a status URL (https://x.com/nasa/status/123) scrapes that single tweet via the stable syndication CDN. | array |
searchTerms | Full X search queries (supports advanced operators like from:, since:, filter:media, min_faves:). Note: keyless search is rate-limited by X and less reliable than profile/URL modes. | array |
sort | For search terms: newest tweets (Latest) or most relevant (Top). | string |
maxItems | Maximum number of tweets to collect across all inputs. You are charged per tweet returned. | integer |
includeReplies | For profile timelines: include the account's replies, not just top-level tweets. | boolean |
onlyVerifiedUsers | Keep only tweets whose author is verified (legacy or X Premium / blue). | boolean |
since | Only keep tweets on/after this date (YYYY-MM-DD). | string |
until | Only keep tweets on/before this date (YYYY-MM-DD). | string |
notionConnector | Optional. If set, the tweets are also delivered to your connected Notion via Apify MCP connectors — no extra code. Leave empty to just use the dataset. | string |
notionParentId | Optional Notion database/data-source id to create the pages in. If empty, pages are created privately in your workspace. | string |
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.
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