We extract course landing pages, curriculum structures, pricing tiers, instructor bios, and student reviews from Thinkific storefronts. 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 Course Metadata objects from thinkific.com. All fields typed and schema-versioned.
"course_id": "crs_892341", "title": "Advanced Python Architecture", "category": "Software Development", "price": 199.0, "currency": "USD", "instructor_name": "Jane Doe"
| # | course_id | title | subtitle | url | category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Curriculum Structure objects from thinkific.com. All fields typed and schema-versioned.
"module_id": "mod_4412", "module_title": "Concurrency Patterns", "lesson_count": 5, "duration_minutes": 125, "is_preview": false, "content_type": "video_and_text"
| # | course_id | module_id | module_title | lesson_count | lesson_titles | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Bundles objects from thinkific.com. All fields typed and schema-versioned.
"plan_type": "subscription", "price": 29.0, "currency": "USD", "billing_interval": "monthly", "trial_days": 7, "is_subscription": true
| # | course_id | plan_type | price | currency | billing_interval | trial_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Instructor Profiles objects from thinkific.com. All fields typed and schema-versioned.
"instructor_id": "inst_992", "name": "Jane Doe", "course_count": 4, "total_students": 14500, "average_rating": 4.8, "social_links": "['linkedin.com/in/janedoe']"
| # | instructor_id | name | bio | avatar_url | social_links | total_students |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Testimonials objects from thinkific.com. All fields typed and schema-versioned.
"review_id": "rev_7731", "star_rating": 5, "reviewer_name": "Alex Smith", "verified_student": true, "review_date": "2026-03-14", "helpful_votes": 12
| # | review_id | course_id | reviewer_name | star_rating | review_text | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Thinkific scraper handles custom domains, storefront themes, dynamic pricing widgets, and paginated curriculums with JavaScript rendering and anti-bot circumvention built in.
Title, description, category, and metadata extracted precisely from highly customised storefront layouts.
Extract module headers, lesson titles, duration estimates, and free preview availability flags.
Capture one-time fees, recurring subscriptions, and multi-payment plan tiers.
Extract professional credentials, biographical text, and associated course portfolios for every instructor.
Scrape student testimonials, star ratings, and verified completion badges.
Map custom creator domains back to Thinkific infrastructure automatically.
Identify cross-sells and course bundle configurations across entire creator catalogues.
Map site-wide taxonomies and discovery structures to normalise catalog data.
Run continuous pipelines at daily or weekly cadences to monitor pricing and curriculum changes.
Brief in. Clean data out.
Provide custom domains, Thinkific subdomains, or category lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for Thinkific storefronts.
Schema validation, null-rate checks, and curriculum structure mapping before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Thinkific sites use custom themes and heavily cached dynamic blocks. Here is how we maintain schema stability.
Creators heavily modify Thinkific themes. We use structural heuristics and JSON-LD extraction to normalise course data regardless of visual layout.
Course outlines and pricing widgets often load asynchronously. We execute full browser sessions to capture hydrated state.
Many top creators use white-labelled custom domains. We identify Thinkific fingerprints via headers and route traffic through appropriate extraction logic.
We maintain hash indexes of course structures. Subsequent runs only push diffs when creators add lessons or change pricing.
We distribute requests across ISP proxies to avoid IP bans and CAPTCHA walls triggered by high-frequency scraping.
Analyze pricing trends, popular categories, and curriculum structures across the creator economy.
Track how rival creators structure their bundles, price their tiers, and update their lesson content.
Identify high-performing instructors for partnership outreach, platform migration, or tool upselling.
Mine student reviews to identify gaps in existing courses and inform new curriculum development.
Map subscription versus one-time payment models to optimise pricing for digital products.
Evaluate creator growth, course volume, and category dominance for EdTech acquisitions.
"Thinkific hosts millions of courses, but creator data is fragmented across thousands of custom domains. Querying the creator economy requires a unified pipeline."
Extracting EdTech data at scale requires normalising heavily customised storefronts, rendering dynamic pricing widgets, and mapping fragmented custom domains back to a single schema. DataFlirt absorbs this complexity so your engineers can focus on analysis.
Everything supported by our thinkific.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Handles crawl orchestration and JavaScript rendering for dynamic storefronts.
ISP-grade residential IPs rotated per-request to bypass rate limits.
AWS Lambda and ECS execution managed by Airflow for strict SLA adherence.
Data delivered to where your team already works — no new tooling required.
About thinkific.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available course landing pages and instructor bios is generally permissible. We do not bypass authentication to access gated student content.
Yes. We identify Thinkific infrastructure behind custom domains and apply the correct extraction schema automatically.
No. We extract curriculum metadata, lesson titles, and duration, but we do not download DRM-protected or paid video files.
Creators modify layouts heavily. We use multi-layer fallback selectors and JSON-LD structural parsing to normalise data regardless of the visual theme.
Yes. We capture one-time fees, subscriptions, and bundles, emitting diffs when creators adjust their pricing strategies.
Pipelines can run daily, weekly, or monthly depending on your requirements for course catalogue freshness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off course catalogue dump or continuous tracking across thousands of creators, we build and operate the pipeline.
