We extract educator metrics, batch schedules, course syllabi, pricing, and learner reviews from Unacademy. 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 Educator Profiles objects from unacademy.com. All fields typed and schema-versioned.
"educator_id": "EDU-98421", "name": "Mrunal Patel", "followers_count": 892401, "watch_minutes_30d": 4500000, "watch_minutes_lifetime": 128000000, "courses_count": 42, "rating": 4.9, "badges_earned": "['Legend', 'Top Educator']"
| # | educator_id | name | bio | followers_count | watch_minutes_30d | watch_minutes_lifetime |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Courses & Batches objects from unacademy.com. All fields typed and schema-versioned.
"batch_id": "BCH-44192", "title": "Comprehensive Batch for UPSC CSE 2025", "target_exam": "UPSC CSE", "language": "Hinglish", "start_date": "2024-06-15", "end_date": "2025-05-20", "price_tier": "Plus", "status": "Active"
| # | batch_id | title | target_exam | language | start_date | end_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Classes objects from unacademy.com. All fields typed and schema-versioned.
"class_id": "LC-77310", "title": "Indian Economy: Monetary Policy Review", "educator_id": "EDU-98421", "start_time": "2024-10-12T18:00:00Z", "duration_minutes": 120, "topic": "Economy", "is_free": true, "status": "Scheduled"
| # | class_id | title | educator_id | start_time | duration_minutes | topic |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Test Series objects from unacademy.com. All fields typed and schema-versioned.
"test_id": "TS-1104", "title": "NEET UG 2025 All India Mock Test Series", "exam_category": "NEET UG", "total_tests": 15, "enrolled_count": 45192, "price_tier": "Lite", "rating": 4.7, "start_date": "2024-08-01"
| # | test_id | title | exam_category | total_tests | enrolled_count | price_tier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Subscriptions objects from unacademy.com. All fields typed and schema-versioned.
"plan_id": "SUB-UPSC-12M-ICONIC", "exam_category": "UPSC CSE", "duration_months": 12, "tier_name": "Iconic", "original_price": 119999.0, "discounted_price": 89999.0, "discount_pct": 25, "currency": "INR"
| # | plan_id | exam_category | duration_months | tier_name | original_price | discounted_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Unacademy scraper navigates complex React state, GraphQL endpoints, and infinite scrolling to extract structured educator profiles, batch schedules, and pricing data.
Track follower counts, 30-day watch minutes, lifetime watch minutes, and educator badges to identify rising talent and platform engagement.
Extract complete syllabi, module breakdowns, start/end dates, target exams, and language mediums for all active and upcoming batches.
Monitor schedules for free Special Classes and paid Plus/Iconic sessions, including educator mapping and topic categorisation.
Capture mock test schedules, enrollment counts, and difficulty levels across UPSC, JEE, NEET, and state board categories.
Track dynamic pricing, discount percentages, and feature differences across Plus, Iconic, and Lite subscription tiers.
Navigate Unacademy's deep category tree to map courses and educators to specific exams and sub-topics.
Extract aggregated star ratings, written feedback, and upvotes on educator profiles and completed courses.
Monitor class frequency, new course launches, and schedule adherence for specific educators over time.
Run daily or weekly pipelines to capture diffs in pricing, new batch announcements, and watch minute growth.
Brief in. Clean data out.
Provide target exams (e.g., UPSC, NEET), educator lists, or specific batches. We design the extraction schema together.
We configure Playwright crawlers, GraphQL API interception, and proxy rotation to handle Unacademy's infrastructure.
Schema validation, null-rate checks, and data type enforcement before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Unacademy relies on heavy client-side rendering and dynamic API endpoints. Here is how we maintain stable extraction.
Unacademy is a modern Single Page Application. We use Playwright to execute JavaScript, wait for React state hydration, and trigger lazy-loaded components before parsing the DOM.
Rather than scraping fragile HTML, our pipeline intercepts Unacademy's internal GraphQL and REST API responses during page load, extracting clean, structured JSON payloads directly.
Educator lists and course catalogues load dynamically via infinite scroll. We simulate user scroll behaviour and capture the subsequent XHR requests to ensure complete coverage of the category.
For tracking educator performance over time, we maintain state across pipeline runs. You receive a clean changelog of watch minute growth and follower acquisition rather than full daily re-dumps.
Unacademy rate-limits aggressive IP addresses. We distribute requests across a pool of Indian residential proxies, matching the geographic origin expected by the platform's load balancers.
Rival platforms track Unacademy's pricing, discount strategies, and new batch launches to inform their own product roadmaps.
EdTech recruiters monitor watch minutes, follower growth, and engagement metrics to identify and poach top-performing educators.
Strategy teams analyse course volumes and educator density across categories (e.g., UPSC vs State PSC) to identify underserved exam markets.
Analysts monitor subscription tier pricing, promotional periods, and duration discounts to understand EdTech monetisation trends.
Curriculum designers parse syllabi and batch schedules to find missing topics or emerging subjects in the test prep space.
Private equity firms and analysts track active batch volumes, educator retention, and pricing stability to evaluate platform health.
"Unacademy hosts the most comprehensive dataset of Indian test prep activity, educator performance, and learner engagement — accessible only if you build the extraction infrastructure."
Extracting data from modern EdTech platforms requires handling complex state management, dynamic API payloads, and aggressive rate limiting. DataFlirt manages the proxies, browser sessions, and schema maintenance so your engineering team can focus on deriving insights from educator metrics and course catalogues.
Everything supported by our unacademy.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.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, infinite scrolling, and API interception.
We bypass fragile DOM parsing by intercepting Unacademy's internal GraphQL and REST responses during page load, yielding cleaner, more reliable data.
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 unacademy.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Unacademy is generally permissible. DataFlirt targets only public, non-authenticated educator profiles, course syllabi, and pricing data. We do not extract personal learner data, circumvent DRM on video content, or violate copyright law.
We use Playwright to execute full browser sessions, allowing React to hydrate the DOM. More importantly, we intercept the underlying GraphQL and REST API calls made by the frontend, extracting the raw JSON payloads directly for higher reliability.
Yes. We can configure daily or weekly pipeline runs to capture '30-day watch minutes', 'lifetime watch minutes', and 'follower count'. We store the state and deliver a time-series dataset showing growth metrics.
No. We extract metadata about the classes (titles, educators, durations, schedules, topics) but we do not download, store, or distribute DRM-protected video content or live streams.
Our minimum engagement typically starts with a defined set of exam categories (e.g., UPSC, NEET, JEE) or a specific list of educators, with weekly delivery. Contact us with your specific scope for pricing.
Absolutely. We provide a sample run of up to 100 educator profiles or 50 course batches as part of the pre-engagement scoping process, allowing you to validate the schema and data quality.
For active tracking pipelines, we can configure hourly or daily runs to capture new class announcements, schedule changes, and live status updates with minimal latency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of educator profiles or a continuous feed of batch schedules and pricing — we scope, build, and operate the pipeline. Tell us what you need.
