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Threads Data, Delivered

Public Threads 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.

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source specification

Source
Threads logothreads.net
Objects
Posts and replies, Public profiles, Reply threads, Quote posts, Engagement metrics
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily
Scope
Public content only

about the platform

What makes Threads different

Threads is the newest platform worth monitoring and the one where being early costs least. It is text-first and conversational in the way X is, but its audience arrived through Instagram, which means the demographic composition and the tone are noticeably different — more consumer and lifestyle discussion, less news and finance. For brands already tracking Instagram, the same audience is having a different kind of conversation here, and because the platform is young, a brand’s entire public history on it is still small enough to read in full.

why teams track it

Why Threads data is worth having

Monitoring a platform from near its beginning is a position you only get once: the complete public record of how your brand is discussed there is still collectable, and the competitive field measuring it is thin. For consumer brands in particular, Threads captures conversation from the Instagram audience in text form, which is far easier to analyse than the comment layer under an image.

Visit threads.net

applications

What teams build on Threads data

Early-platform brand monitoring

The complete public history of how your brand is discussed here is still small enough to collect in full. That baseline is only available while the platform is young.

Instagram audience, in text

The same people you already track on Instagram, expressing themselves in text rather than under an image. Text is substantially easier to analyse than a comment layer attached to visual content.

Consumer conversation tracking

The tone here skews lifestyle and consumer rather than news and finance, which makes it a better source than X for categories where the X conversation is dominated by professional commentary.

Competitive presence benchmarking

Which competitors have established a presence here, what they post, and what response it draws — while the field is small enough for the comparison to be complete rather than sampled.

Cross-platform identity linking

Threads profiles carry their linked Instagram account, which lets the same audience be followed coherently across both platforms instead of being treated as two disconnected populations.

what you get back

Fields in the Threads 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, mentions, and attached links
  • Reply, repost, quote, and like counts
  • Reply-thread structure with parent-child relationships preserved
  • Public profile attributes — handle, bio, follower count, linked Instagram account
  • Posting timestamp 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.

Data
Browse Collected Rows
API
Programmatic Access
Files
JSON and CSV
Runs
Track Extraction Progress

related sources

Tracked alongside Threads

One platform is a partial view. These deliver on the same schema, so combining them is a configuration change rather than a project.

Instagram logoInstagram

Where visual commerce starts

TikTok logoTikTok

The fastest trend cycle online

Facebook logoFacebook

The widest demographic reach

All platforms

Instagram, TikTok, X, YouTube and more

49 retail sources

Pair social signal with catalogue and price data

AI datasets

Use this feed as model training data

See every data product

questions

Frequently Asked Questions

Everything you need to know before you send us your first request.

Is Threads mature enough to be worth monitoring?
For consumer brands, increasingly yes, and the argument for starting now is precisely that it is early. The complete public record of your brand on the platform is still collectable, and the cost of tracking a smaller platform is correspondingly low. For B2B and finance categories the conversation has not moved here in volume yet, and we would say so rather than sell the coverage.
How does Threads differ from X for monitoring purposes?
Audience and register, mainly. Threads users arrived through Instagram, so the conversation skews consumer and lifestyle, where X skews news, finance, and professional commentary. Categories that find the X conversation dominated by professionals often find their actual customers here instead. Most brands with a consumer audience end up tracking both.
Do you preserve Threads reply structure?
Yes. Parent-child relationships across reply chains are preserved rather than flattened, on the same threading model we use for Reddit and X, so a reply always arrives with the context that makes it interpretable.
Can Threads and Instagram data be joined?
Yes, and it is one of the better reasons to run both. Threads profiles expose their linked Instagram account, so the same person can be followed coherently across the two surfaces rather than counted twice as two unrelated handles.
How is Threads data delivered?
Browse collected rows in the dashboard, export datasets as JSON or CSV, or query them through the API and MCP server. Contact us to discuss other delivery requirements.
What happens when threads.net changes?
Keeping the collector working is our responsibility. Extractors are monitored continuously, and when the platform changes its structure we patch upstream while the schema we deliver to you stays fixed. If a change causes a coverage gap we tell you which window was affected rather than quietly returning fewer records.
How does pricing work for a Threads feed?
Pricing is scoped per engagement — the number of tracked terms, handles, or communities, the refresh cadence, and the delivery destinations involved. Historical backfill is quoted separately. Every engagement starts with a free sample run against your own brand terms, so you can judge the data before committing.

Still have questions?

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Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.

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