DATING APP DATA SCRAPING

Dating-app market data,
public and compliant.

// THE SHORT ANSWER

Dating app data scraping extracts publicly available market data from dating platforms — subscription pricing and tiers, feature sets, boost and add-on pricing, and app-store signals — across major dating apps. iWeb Data Scraping delivers it QA-verified as CSV, JSON or API, so product, pricing and market-research teams can benchmark the competitive landscape. We collect only public, non-personal data — never user profiles, messages or any personal information.

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99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Subscription price
  • Data point: Subscription tier
  • Data point: Feature set
  • Data point: Boost / add-on pricing

The dating-app market is crowded, fast-moving and fiercely competitive on pricing and features. For product and strategy teams building or investing in this space, public market intelligence — what competitors charge, which tiers they offer, what features they gate behind paywalls — is genuinely valuable, and hard to track manually across dozens of apps and regions.

We capture publicly listed pricing, subscription tiers, feature sets and app-store signals across dating platforms, feeding pricing intelligence and market research. This overlaps with social platform and mobile app data.

On compliance — this matters here: we collect only public, non-personal market data (pricing, tiers, features). We never scrape user profiles, photos, messages or any personal data. Dating platforms carry especially sensitive personal information, and we deliberately stay entirely on the public, non-PII side. See Trust & Compliance.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

Pricing, tiers, features.

Subscription price
Subscription tier
Feature set
Boost / add-on pricing
Free vs paid limits
Platform
Region
App-store rating (public)
App-store category rank
Pricing changes
Promo offers
Trial terms
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Dating-app feed — profile fields (public), pricing tiers, features.
platform field type subscription_tier price region
Platform A profile_bio text Premium 1999 India
Platform B match_features list Plus 799 India
Platform A boost_pricing numeric Gold 2999 USA
Platform C swipe_limit numeric Free 0 UK
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

PRODUCT / STRATEGY

Benchmark the market

Competitor pricing, tiers and feature gating across the dating-app landscape.

PRICING TEAM

Set the right price

See how rivals price subscriptions, boosts and add-ons by region.

INVESTOR / ANALYST

Read the category

Public pricing and app-store signals as market-research inputs on the space.

RELATED:Social Media Data Scraping →Mobile App Scraping →Price Intelligence →
FAQ

Before the first call.

Publicly available market data — subscription prices and tiers, feature sets, boost and add-on pricing, free-versus-paid limits, app-store ratings and category ranks, pricing changes, promos and trial terms — across dating platforms and regions. Not user data.

No — never. We collect only public, non-personal market data such as pricing and features. We do not scrape user profiles, photos, messages, matches or any personal information. Dating platforms hold especially sensitive personal data, and we stay entirely on the public, non-PII side.

The market competes hard on pricing and features. Product, pricing and investment teams use public competitive data to benchmark subscription pricing, understand feature gating and read the category — without any exposure to personal data.

Yes — collecting only public, non-personal information keeps this firmly on the compliant side, and we're especially careful given the sensitivity of the category. Our methodology is documented for your legal team; see Trust & Compliance.

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