Retrieve detailed metadata for Twitter Spaces and live video broadcasts, including event states, scheduling information, creators, participants, listeners, viewers, and video dimensions as structured JSON.
{
"data": {
"id": "1eaKbrPAqbwKX",
"title": "The Future of AI",
"state": "live",
"host": { "username": "host_user", "followers_count": 50000 },
"participant_count": 1250,
"is_ticketed": false,
"scheduled_start": "2025-01-20T18:00:00Z"
}
}Pick an endpoint to see what it does, which parameters it accepts, and the JSON your application receives. Authenticate with your API key in the x-api-key header.
/v1/twitter/spaces/{space_id}Get complete data for any Twitter Space: title, host info, speakers, listener count, schedule, and recording status.
space_id | required | The Twitter Space ID |
{
"data": {
"id": "1eaKbrPAqbwKX",
"title": "The Future of AI",
"state": "live",
"host": { "username": "host_user", "followers_count": 50000 },
"participant_count": 1250,
"is_ticketed": false,
"scheduled_start": "2025-01-20T18:00:00Z"
}
}Track known Twitter Spaces and broadcasts in one dashboard. Display whether an audio room is scheduled, live, or ended and whether a video broadcast is running or has finished — all from a single API key.
Connect a Space to its creator's user ID, username, and display name. Track current participants, total participation, live listeners, ticketing status, and event timing to understand host activity and audience response.
Monitor live video broadcasts using their current state, total viewer count, media key, start time, and video dimensions. Use the metadata to support operational dashboards, broadcast inventories, or performance reporting.
Store scheduled start times, actual start times, end times, audience totals, and final states for known Twitter Spaces. Build internal event calendars or historical datasets for recurring audio programming.
Sub-100ms response times. Most of that is your network latency, not our infrastructure. Deploy, test, iterate the same day instead of week-long proofs-of-concept.
99.9% uptime SLA. Your data pipeline doesn't stop because X changed a selector. Monitoring, patching, and infrastructure are all us. You focus on what you built.
Tweets, profiles, followers, communities, trends, geo, real-time Streams — 40+ endpoints. Whatever you need from X, it's here. No fragmented tooling, no API gaps forcing you to bolt on a second service.
RESTful API, SDK support (Python, Node, Go, PHP), MCP, CLI, and no code. Use it in an existing system or a new greenfield; the response shape never surprises you.
Use ScrapeBadger through an official SDK, a standard API request, a real-time connection, or the tools already in your workflow.
Build asynchronous data pipelines with typed responses, automatic pagination, retry handling, and access to the complete Twitter API.
Add Twitter data to Node.js and TypeScript applications with type definitions, async pagination, and support for both ESM and CommonJS.
Connect from any backend or programming language using standard HTTP requests. Responses arrive as structured JSON that can be stored, transformed, or passed into another service.
Receive new tweets through a persistent WebSocket connection or deliver them directly to your application through signed webhooks. Available with Twitter Streams for account and query monitoring.
Give compatible AI agents access to Twitter profiles, tweets, search, trends, communities, lists, and monitoring tools through ScrapeBadger's MCP server.
Search tweets, retrieve profiles, inspect trends, and export results as JSON, CSV, Markdown, or terminal-friendly tables without writing an application.
See what our customers say about ScrapeBadger Twitter API.
“We switched from the official Twitter API and cut our costs by 95%. The pagination is seamless, and we've never hit a rate limit. Best decision we made this year.”
“The follower and engagement endpoints are incredibly detailed. We use it for influencer research and competitor analysis. Response times are sub-100ms consistently.”
“Started with the Apify actor, then moved to the API for more control. The 1,000 free credits were enough to build our MVP. Now processing 2M+ tweets monthly.”
“Perfect for academic research. The community and trends endpoints give us data we couldn't get anywhere else. Documentation could use more examples, but support is responsive.”
“We monitor 50,000+ accounts for our clients. ScrapeBadger handles it without breaking a sweat. The bulk ID endpoints are a game-changer for large-scale monitoring.”
“The geo and trends endpoints power our location-based analytics. Setup took 10 minutes. Their Apify actors are also great for quick one-off scrapes.”
Start with pay-as-you-go credits (never expire) or save up to 64% with a monthly or annual subscription. Failed requests never consume credits, and the exact charge is returned in the X-Credits-Used response header.
Every endpoint uses the same model: 1 base credit + 1 credit per item returned. Single-item lookups always cost 2 credits. Paginated list endpoints cost 1 + the number of items in the page. Failed requests cost 0 credits.
Everything you need to know about the Twitter Live Events API.
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