Instagram Data, Delivered
Public Instagram 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
- instagram.com
- Objects
- Posts and Reels, Public profiles, Hashtag feeds, Comment threads, Engagement metrics
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
- Scope
- Public content only
about the platform
What makes Instagram different
Instagram is where products are discovered before they are searched for. The platform is visual first, but the commercially useful signal sits in the layer around the image — the caption, the hashtag set, the location tag, and above all the comment thread, where the questions people ask about a product are the questions your category is actually being evaluated on. Reels added a second, faster-moving surface on top of the original grid, and the two behave differently enough that treating them as one feed loses information. A brand presence here is effectively a public catalogue with an attached focus group.
why teams track it
Why Instagram data is worth having
For consumer brands, Instagram is the closest thing to a live read on how a product is perceived at the moment of discovery, months before that perception shows up in search volume or sales data. Brand teams use it to track share of voice against competitors, creator teams use follower and engagement history to price partnerships against real reach rather than a media kit, and trend forecasters use hashtag velocity to catch a category shift while it is still cheap to act on.
Visit instagram.comapplications
What teams build on Instagram data
Influencer vetting against real numbers
A media kit reports the follower count. The engagement history reports whether those followers exist. Pulling a creator’s last few hundred posts shows the engagement-to-follower ratio over time, and a flat follower line with a sudden step change is the shape audience purchasing makes.
Product discovery and trend forecasting
Hashtag and caption velocity in a category moves ahead of search volume, because people post about a product before they know what to call it. Tracking the rise of a term here gives a lead time that keyword tools cannot.
Competitive share of voice
Mention volume, engagement weight, and creator overlap against a named competitor set, measured continuously instead of reconstructed once a quarter from a report.
Comment mining for product objections
The comment thread under a product post is where sizing, quality, shipping, and price complaints get aired publicly. That is unprompted voice-of-customer data on the exact SKU it refers to.
Campaign measurement across creators
Every post carrying a campaign hashtag, with its engagement envelope and posting time, collected into one table — so campaign reporting stops depending on each creator sending screenshots.
Visual training corpora
Public image and video posts with their captions attached form paired image-text data, which is the format multimodal training and evaluation work actually needs.
what you get back
Fields in the Instagram 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 and Reel captions, hashtags, and mention lists
- Like, comment, save, share, and view counts where exposed
- Public profile attributes — follower and following counts, bio, category, external link
- Comment threads with author handle, timestamp, and reply nesting
- Media type and carousel item count per post
- Location tags where the poster attached one
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 Instagram
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.
