We extract textbook solutions, mock test questions, syllabus hierarchies, and video metadata from Toppr. 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 Q&A Corpus objects from toppr.com. All fields typed and schema-versioned.
"question_id": "T-948210", "subject": "Physics", "topic": "Kinematics", "question_text": "A particle moves along a straight line with constant acceleration.", "correct_option": "B", "difficulty_level": "Hard", "latex_content": true
| # | question_id | grade | subject | topic | subtopic | question_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Textbook Solutions objects from toppr.com. All fields typed and schema-versioned.
"book_name": "Concepts of Physics Vol 1", "author": "H.C. Verma", "chapter_name": "Laws of Motion", "exercise_name": "Chapter 5 Objective I", "question_number": "4", "step_by_step_solution": "Let the tension in the string be T..."
| # | book_id | book_name | author | publisher | chapter_name | exercise_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Syllabus Taxonomy objects from toppr.com. All fields typed and schema-versioned.
"board": "CBSE", "grade": "12", "subject": "Mathematics", "chapter_name": "Calculus", "concept_name": "Integration by Parts", "weightage": "High", "prerequisite_concepts": "['Derivatives']"
| # | board | grade | stream | subject | chapter_id | chapter_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Video Metadata objects from toppr.com. All fields typed and schema-versioned.
"video_id": "V-84729", "title": "Introduction to Organic Chemistry", "duration_seconds": 1420, "subject": "Chemistry", "chapter": "Organic Compounds", "tags": "['IUPAC', 'Nomenclature', 'JEE']"
| # | video_id | title | instructor | duration_seconds | thumbnail_url | subject |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Mock Tests objects from toppr.com. All fields typed and schema-versioned.
"test_id": "MT-JEE-2023-04", "exam_target": "JEE Main", "total_questions": 90, "duration_minutes": 180, "max_marks": 300, "negative_marking": -1, "sections": "['Physics', 'Chemistry', 'Mathematics']"
| # | test_id | exam_target | year | total_questions | duration_minutes | max_marks |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Toppr scraper handles the technical complexities of educational platforms: MathJax rendering, nested syllabus taxonomies, image asset extraction, and multi-board routing.
Capture questions, multiple choice options, correct answers, and detailed step-by-step explanations across all subjects.
Extract LaTeX and MathJax formatting intact. We preserve the structural integrity of complex mathematical notation.
Map exact NCERT and popular reference book solutions by chapter, exercise, and specific question number.
Scrape the nested taxonomy of educational boards, grades, subjects, and chapters to maintain strict categorisation.
Download diagrams and image-based questions directly to your S3 bucket, preserving the link between text and visual assets.
Isolate content specific to JEE, NEET, Olympiads, and other competitive exams with accurate tagging.
Extract instructor names, durations, topic tags, and thumbnail URLs for structural indexing.
Run scheduled pipelines to capture newly added questions, mock tests, and syllabus updates automatically.
Receive highly nested JSON output that maps perfectly to modern EdTech database schemas.
Brief in. Clean data out.
Provide target boards, grades, subjects, or specific exams. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and MathJax hydration logic for toppr.com.
Schema validation, LaTeX integrity checks, and sample Q&A pairs before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Educational platforms present unique scraping challenges, primarily around rendering complex equations and maintaining taxonomy. Here is how we solve them.
Many Toppr questions rely on client-side JavaScript to render complex equations via MathJax. We run full Playwright browser sessions to ensure equations are fully hydrated before extraction, capturing the raw LaTeX strings rather than broken text fragments.
Toppr content is deeply nested by Board -> Grade -> Subject -> Chapter -> Topic. Our crawlers maintain strict state context during traversal, ensuring every extracted question is correctly tagged with its full lineage.
Physics and Geometry questions often rely on diagrams. Our pipeline automatically identifies image URLs within question bodies, downloads them from Toppr's CDN, uploads them to your S3 bucket, and rewrites the URLs in your final JSON payload.
Toppr monitors request velocity to protect its intellectual property. We distribute requests across a large pool of Indian residential ISP proxies with realistic browser fingerprints to maintain high extraction throughput without triggering rate limits.
Educational platforms frequently update their frontend frameworks. We monitor extraction null-rates in real time and alert our engineering team immediately if a DOM change impacts data quality.
AI companies use structured Q&A pairs and step-by-step solutions to train domain-specific educational models.
New learning platforms bootstrap their initial databases with comprehensive syllabus structures and practice questions.
Established education companies compare their syllabus coverage and question depth against Toppr's catalogue.
Data science teams feed difficulty-mapped Q&A into algorithms to build personalised testing experiences.
Academic search engines ingest textbook solutions to surface exact answers for student queries.
Analysts track content volume across different boards and competitive exams to identify focus areas in Indian EdTech.
"Toppr holds one of the most comprehensive structured educational datasets in India, but extracting LaTeX equations and image-heavy solutions requires specialised infrastructure."
Most teams underestimate the complexity of scraping EdTech platforms. Reliable Toppr extraction requires handling MathJax rendering, CDN asset syncing, complex nested syllabus taxonomies, and residential proxy rotation. DataFlirt absorbs that complexity so your engineers can focus on building learning products, not scraper maintenance.
Everything supported by our toppr.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 and deduplication. Playwright handles JavaScript rendering for MathJax equations and dynamic content loading.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent IP bans while scraping high volumes of Q&A data.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About toppr.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available educational material is generally permissible. DataFlirt targets only public, non-authenticated Q&A, syllabus structures, and metadata. We do not extract personal student data or circumvent paid authentication walls.
We use headless browsers to render the page and extract the underlying LaTeX or MathJax strings, ensuring equations remain structured and readable for your downstream applications.
Yes. When a question or solution contains an image, we download the asset from Toppr's CDN and upload it directly to your AWS S3 bucket, providing the new URL in the data payload.
Yes. We can scope the extraction to specific targets like CBSE Grade 12, JEE Main, NEET, or specific state boards to match your exact requirements.
We can configure pipelines to run daily, weekly, or monthly to capture newly added questions and syllabus modifications.
No. We only extract the public metadata for videos (titles, durations, tags, thumbnails). We do not bypass paywalls to download proprietary video files.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full dump of the JEE question bank or continuous updates for NCERT solutions - we scope, build, and operate the pipeline. Tell us what you need.
