X (Twitter) Data, Delivered
Public X (Twitter) content and engagement metrics, normalised to the same schema as every other platform we cover and pushed into your stack. Nothing to build, nothing to maintain.
source specification
- Source
- x.com
- Objects
- Posts and replies, Public profiles, Quote posts and reposts, Search and keyword feeds, Engagement metrics
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
- Scope
- Public content only
about the platform
What makes X (Twitter) different
X remains the platform where things are said first. News breaks here, executives make announcements here before the press release lands, and complaints reach a company here faster than through any support channel — which is why the platform’s value is almost entirely a function of latency. Its structure is conversational and public by default: replies, quote posts, and reposts form threads that can be reconstructed in full, and the quote post in particular is a uniquely legible signal, because it carries an explicit opinion attached to the thing being shared. Cashtags give financial discussion its own addressable namespace, which no other network offers.
why teams track it
Why X (Twitter) data is worth having
If your use case has any time sensitivity — market-moving news, crisis detection, live event tracking, or breaking product issues — this is the source where the clock starts. Trading and research teams use cashtag and keyword streams as an event feed, comms teams use it as the earliest possible warning that a story is forming, and support teams use public complaint volume as a leading indicator of an incident.
Visit x.comapplications
What teams build on X (Twitter) data
Breaking news and market event detection
Keyword and cashtag streams delivered as webhooks the moment a match is detected. For anything trading-adjacent, the difference between sub-minute and hourly delivery is the difference between a signal and a post-mortem.
Crisis detection and comms early warning
A sudden change in mention volume against your brand terms is the earliest warning a story is forming. Detecting it in minutes rather than at the next morning’s report changes what response is still available to you.
Quote-post opinion mining
A quote post is a share with an argument attached, which makes it far more informative than a plain repost. It shows not just what is spreading but which framing is spreading with it.
Executive and competitor monitoring
Company accounts and named executives tracked continuously, so a strategy shift signalled in a post reaches your team the same day rather than via a newsletter a week later.
Live event and campaign tracking
Volume, sentiment, and reach against an event hashtag as it happens, which is when the numbers can still inform what you do next.
Conversational AI training data
Threaded reply chains with clear parent-child structure and a public engagement signal, in short-form conversational register that is hard to source elsewhere.
what you get back
Fields in the X (Twitter) feed
Platform-specific detail on top of the unified social schema, so a dashboard built on one platform works on the next without a rewrite.
- Post text, hashtags, cashtags, mentions, and attached links
- Reply, repost, quote, like, and view counts where exposed
- Conversation threading — parent post, reply chain, and quote relationships
- Public profile attributes — handle, display name, bio, follower counts, verification state
- Posting timestamp at second resolution
- Language and attached media type
Public surfaces only
We collect what a logged-out visitor can see. No authentication is bypassed, no private content is touched, and no attempt is made to deanonymise anyone.
One schema across platforms
A post from any network arrives with the same field names, so adding a platform does not mean rewriting anything downstream.
Deletion propagates
When content is removed at source it drops out of subsequent deliveries, and retention windows on delivered data are configurable per engagement.
related sources
Tracked alongside X (Twitter)
One platform is a partial view. These deliver on the same schema, so combining them is a configuration change rather than a project.
questions
Frequently Asked Questions
Everything you need to know before you send us your first request.
Still have questions?
Talk to an engineerReady to Get Started?
Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.
