Our data
Creator data,
documented.
340M+ creators across 47 platforms, verified emails on every one, 40+ data points each, audience built from engagers. Every field is defined in public, so you know exactly what you’re buying.
Identity
Reach & engagement
Audience · from engagers
Contact & commercial
40+ fields per record · every field defined in our public methodology
At a glance
The short version
- Creator profiles
- 340M+Individual creator and account records, every one carrying verified contact info.
- Platform coverage
- 47 platformsFull profiles on 6 core platforms; identity and link coverage across 47 in total.
- Fields per record
- 40+Identity, reach, engagement, audience, contact and commercial signals.
- Audience data
- Built from engagers, not followersDemographics, interests and niches modelled from the people interacting with a creator’s recent content.
- Contact coverage
- Every recordContact details sit on all 340M+ profiles, not a subset of them, and each email is checked against multiple independent verification providers.
- Refresh cycle
- Weekly, plus on exportEvery profile is revisited each week, and anything you export is refreshed at the moment you export it.
- Methodology
- Public, field by fieldEvery data point is defined at data.influencers.club: what it means, where it comes from, and where its limits are.
- Sources
- Publicly available informationThe public internet, partners who supply publicly available data, and our in-house research team.
- Scope limit
- Nothing behind a loginThe dataset is built from information that is publicly visible.
- Access
- Dashboard · API · MCP · custom exportsSame dataset, four ways in.
- Governance
- DPA, subprocessor list, creator opt-outSee Legal.
Coverage
Six platforms in depth, 47 in total
Depth and breadth are different problems. On the platforms where campaigns actually run, we carry the full record. Beyond those, we carry identity and links, so a creator’s footprint stays connected across the internet instead of ending at one app.
Full profiles
Instagram
TikTok
YouTube
X
Twitch
OnlyFans
Identity and link coverage
Linktree
Patreon
Snapchat
+ 38 more
Breadth
What’s on a creator record
Every record carries verified contact info. That’s the floor, not the feature. On top of it, a record is built to answer the harder questions: is this creator growing, who actually engages with them, and do they already work with brands.
Identity
- Handle, display name, profile URL
- Profile picture
- Linked accounts across platforms
- Account type and category
- Language
- Country and city, where public
Reach
- Followers and subscribers
- True Reach Proprietary
- Reach rate
- Historical follower series
- Growth rate over 30 / 90 days
- Content volume and cadence
Engagement
- Average likes and comments
- Engagement rate
- Engagement Score Proprietary
- Recent post performance
- Performance on sponsored posts
Audience · from engagers
- Audience locations and languages
- Age and gender distribution
- Audience interests
- Brands and brand categories the audience follows
- Niches and subniches
- Audience overlap between creators
Contact
- Publicly listed contact info on every record, including business email
- Verification status, checked across multiple providers
- Link-in-bio destinations
- Personal site and other socials
Commercial signals
- Monetization status
- Brands mentioned and promoted
- Affiliate and creator-program participation
- Keywords and topics used
+ more
These are the fields most teams work with day to day. A record carries more beyond them, and the list grows as we add sources. Each one is defined in the data methodology, and if there’s a data point you need and don’t see, ask us for it.
Audience data
Built from engagers, not followers
A follower count includes everyone who ever tapped follow: dormant accounts, bots, people who stopped watching years ago. The engagers are the people showing up on a creator’s content now. That’s who we analyse, so the audience you see is the audience a sponsored post would actually reach.
Who followed, at some point
- Counts inactive and abandoned accounts as audience
- Bots and bought followers skew the demographics
- Reflects who followed, sometimes years ago
- Says little about who sees the content today
Who’s paying attention, now
- Modelled from the people interacting with recent content
- Inactive accounts drop out on their own
- Moves when the audience moves
- Closer to who a sponsored post will reach
Demographics
Where the audience is, which languages it speaks, and its age and gender split, so you can check a creator’s audience matches your market before you brief them.
Interests and brand affinity
What the audience cares about and which brands and brand categories it follows. Useful for fit, and for spotting creators whose audience already knows your competitors.
Niches, subniches and overlap
Audience niches down to the subniche level, plus overlap between creators, so a shortlist reaches new people instead of the same ones five times.
Estimates
Audience figures are statistical estimates: we analyse a sample of a creator’s engagers and extrapolate from it. They’re labelled as estimates in the product, and the methodology explains how they’re built and what they can’t tell you.
Quality
How the data stays worth trusting
A creator database decays fast: handles change, accounts go dormant, emails stop working. Freshness is a process, not a launch feature.
Weekly refresh, plus on export
Every profile is revisited weekly, and accounts that change quickly are picked up more often. On top of that, anything you export is refreshed at the point of export, so what lands in your CSV is current on the day you use it, not the day we last refreshed it.
Human research team
An in-house research team works the dataset daily: verifying algorithm output, correcting records, onboarding new creators, and finding the failure patterns automated checks miss.
Verified, then benchmarked
Contact info sits on every profile in the database, and every email runs through multiple independent verification providers rather than one, so a single provider’s blind spot doesn’t become your bounce. The result is tracked against KPIs we can measure: bounce rate, enrichment match rate, targeting accuracy.
Sourcing
Where the data comes from
Three sources, combined into one record. All of it is publicly available information.
The public internet
We collect and analyse publicly available information from the open internet: search results, personal sites, press releases, news coverage, public directories and creator listings.
- Notice when a creator appears in a public directory or listing
- Pick up launches, partnerships and announcements
- Collect contact info that creators publish themselves
- Build the topic and brand picture around a creator
Partners
We work with third-party partners who supply publicly available data. Their contribution is narrow and specific: contact info, filling gaps where we don’t already hold it ourselves.
All of it is handled under our privacy policy, and creators can opt out at any time.
Our research team
A permanent in-house research and development team whose entire job is the state of the database.
- Find and fix errors in the processing pipeline
- Feed subject-matter expertise back into data science
- Benchmark quality KPIs continuously
- Model audience signals from engagers in-house
- Vet creators and onboard thousands daily
Transparency
Our methodology is public
A number is only useful if you know what’s behind it. So we publish ours: every data point we carry is documented at data.influencers.club, with what it means, where it comes from, how often it changes and where its limits are. Read it before you buy, and hold us to it after.
Every field, defined
One page per data point, from engagement rate to email verification status, in plain language. No guessing what a column in your export actually measures.
How audience estimates are built
How we go from a creator’s engagers to demographics, interests and niches, and why we model the audience from engagement rather than from the follower list.
What the data can’t tell you
Which figures are estimates, where coverage is thinner, and what to keep in mind before you base a decision on a single number.
Data policy
What we hold, and what we don’t
The clearest way to describe a dataset is to draw its edges.
In the dataset
- Publicly visible profile and account information
- Public content, captions, keywords and links
- Contact details creators publish for business enquiries
- Public engagement, and audience estimates modelled from a creator’s engagers
- Publicly available data supplied by partners
Not in the dataset
- Anything behind a password or login wall
- Private messages or non-public account activity
- Payment, financial or government identifiers
- Special-category personal data
- Records of creators who have opted out
Creator rights
Any creator can ask what we hold about them, correct it, or have it removed. Opt-out requests are honoured across the dataset, not just the interface, and removals hold on subsequent refreshes.
Customer obligations
Access comes with terms. Customers use the data for legitimate business purposes, and stay responsible for compliance with the marketing and privacy rules that apply in their own markets.
Processing and subprocessors
A standard DPA is available to every customer, with a published subprocessor list, so your legal team can review the chain before you sign rather than after.
Entities and governance
Influencers Club DOO (Skopje) and OneMore InfluencersClub OÜ (Tallinn). Policies, cookie practice and legal contacts are published in one place rather than scattered through footers.
Access
Four ways into the same dataset
Search and filter in the browser
340M+ profiles behind 40+ filters, including audience filters built on engager data, plus natural-language search when you’d rather describe the creator than build the query. Export what you find.
Put creator data in your own product
Discovery, enrichment, lookup and audience endpoints. Used in production for onboarding flows, creator marketplaces and internal tooling.
Query it from Claude and other assistants
Our MCP server exposes the dataset to LLM clients, so you can ask questions in plain language and get answers grounded in the actual records rather than a model’s guess.
Custom datasets and reports
For research, market sizing or one-off segments: tell us the cut you need and we’ll deliver it, on a schedule if you want it repeating.
Questions
Straight answers
How many creators are in the Influencers.club database?
Where does Influencers.club get its data?
Is your data methodology public?
Does the dataset include private or logged-in data?
How current is the data?
Why is audience data built from engagers rather than followers?
How accurate are the audience demographics?
Do all creators in the database have contact details?
How are creator emails verified?
Can a creator be removed from the database?
Can I use the data for outreach?
How do I access the data?
Can I test the data quality before buying?
Start with the data, not the demo.
Search the database yourself, read how every number is built, or bring us a list and let the records make the argument.