We extract studio directories, class schedules, instructor profiles, and pricing tiers from Mindbody. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Studios & Locations objects from mindbody.io. All fields typed and schema-versioned.
"studio_id": "MB_84921", "name": "CorePower Yoga", "category": "Yoga", "city": "Austin", "state": "TX", "latitude": 30.2672, "rating": 4.8, "review_count": 1245
| # | studio_id | name | category | address | city | state |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Class Schedules objects from mindbody.io. All fields typed and schema-versioned.
"class_id": "CLS_993821", "studio_id": "MB_84921", "class_name": "Hot Power Fusion", "start_time": "2026-05-14T18:00:00Z", "duration_minutes": 60, "instructor_name": "Sarah Jenkins", "available_spots": 4, "waitlist_status": false
| # | class_id | studio_id | class_name | description | start_time | end_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Instructors objects from mindbody.io. All fields typed and schema-versioned.
"instructor_id": "INS_44102", "studio_id": "MB_84921", "name": "Sarah Jenkins", "specialties": "['Vinyasa', 'Hot Yoga']", "average_rating": 4.9, "review_count": 312, "instagram_handle": "@sarahj_yoga"
| # | instructor_id | studio_id | name | bio | image_url | specialties |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Memberships objects from mindbody.io. All fields typed and schema-versioned.
"studio_id": "MB_84921", "package_name": "10 Class Pack", "price": 220.0, "currency": "USD", "class_count": 10, "expiration_days": 180, "intro_offer": false
| # | studio_id | package_id | package_name | description | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from mindbody.io. All fields typed and schema-versioned.
"review_id": "REV_773920", "studio_id": "MB_84921", "reviewer_name": "Alex M.", "rating": 5, "review_text": "Great energy and flow. The room was perfectly heated.", "date_posted": "2026-05-10", "verified_booking": true
| # | review_id | studio_id | class_id | reviewer_name | rating | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mindbody scraper handles every layer of the platform. Location coordinate mapping, dynamic schedule widgets, pricing tiers, and instructor profiles, with JavaScript rendering and geographic IP rotation built in.
Name, location, contact, and amenity data for gyms, salons, and spas across target metropolitan areas.
Capture real-time class timetables, waitlist status, and capacity metrics directly from calendar widgets.
Extract drop-in rates, class packs, and introductory offers across locations to map local market pricing.
Gather bios, specialities, and historical class loads for fitness professionals and wellness practitioners.
Iterate through latitude and longitude grids to ensure complete regional coverage without hitting search limits.
Extract user feedback, star ratings, and verified booking tags for studios to assess customer sentiment.
Scrape yoga, pilates, martial arts, massage, and hair salon verticals simultaneously with unified schemas.
Execute dynamic React components to load full calendar views and pricing modals that standard HTTP clients miss.
Only emit records when schedules or pricing tiers change to minimise compute overhead and storage bloat.
Brief in. Clean data out.
Provide target cities, zip codes, or specific wellness categories. We design the extraction schema together.
We configure Scrapy and Playwright crawlers with residential proxies to handle location spoofing.
Schema validation, null-rate checks, and schedule anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Mindbody restricts data access based on location and heavily relies on frontend rendering. Here is how we stay resilient.
Mindbody restricts search queries based on IP geolocation. We route requests through residential proxies matching the target search radius to prevent geographic blocking and ensure accurate local results.
Class schedules load via asynchronous JavaScript requests. We use Playwright to execute these requests, paginate through calendar weeks, and extract the underlying JSON responses directly.
To capture complete metropolitan areas without hitting pagination limits, our crawlers divide target regions into overlapping coordinate grids, extracting studios block by block.
Mindbody updates its frontend framework regularly. We deploy fallback chains using CSS, XPath, and API interception to maintain pipeline stability during UI deployments.
Class schedules change constantly with cancellations and substitutions. We hash schedule states per run and emit only the diffs, reducing downstream processing load.
Fitness franchises map competitor density, class pricing, and studio saturation to identify underserved zip codes.
Boutique studios monitor local drop-in rates and introductory offers to optimise their own pricing strategies.
Corporate wellness programs sync class schedules and availability to build unified booking interfaces for employees.
Gym operators track highly rated instructors and their class capacities to target recruitment efforts.
Private equity firms analyse class category growth to inform investment decisions in the wellness sector.
B2B fitness equipment manufacturers identify newly opened studios or high-traffic locations for targeted outreach.
"Mindbody holds the definitive dataset for local fitness and wellness economies. Extracting it requires solving complex geospatial pagination and dynamic calendar rendering."
Most engineering teams struggle with Mindbody location rate limits and heavy JavaScript calendar widgets. DataFlirt manages the proxy rotation, API interception, and schedule diffing so your team can focus on market analysis rather than maintaining scraping infrastructure.
Everything supported by our mindbody.io scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, coordinate iteration, and retry logic. Playwright handles JavaScript rendering and calendar hydration.
We maintain pools of residential ISP proxies targeted by zip code. Rotation happens per request to bypass geographic search limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About mindbody.io scraping, legality, and pipeline operations.
Ask us directly →We use residential ISP proxies mapped to the specific geographic region we are querying. This ensures the search results accurately reflect local availability and prevents IP-based rate limiting.
Yes. Instead of relying on standard search pagination, we divide the target city into a grid of geographic coordinates. Our crawlers iterate through this grid to ensure complete coverage of all active studios.
We configure pipeline cadences based on your requirements. Schedule data can be updated daily for general analysis or hourly for platforms requiring near real-time availability metrics.
Yes. We navigate the pricing tabs to extract drop-in rates, class packs, unlimited memberships, and introductory offers, normalising the data into a structured format.
Yes. By extracting instructor profiles and cross-referencing them with schedule data, we can build a comprehensive view of an instructor's weekly class load across different gym locations.
Our packages typically start at a defined geographic scope or a set list of studio IDs. Contact us with your target regions and data requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off studio directory dump or a continuous schedule feed across major cities, we scope, build, and operate the pipeline. Tell us what you need.
