We extract question corpuses, video solution links, concept tags, and exam mappings from Doubtnut. 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 Questions & Solutions objects from doubtnut.com. All fields typed and schema-versioned.
"question_id": "DN_847192", "ocr_text": "Find the derivative of sin(x^2) with respect to x.", "subject": "Mathematics", "class_level": "Class 12", "video_url": "https://cdn.doubtnut.com/videos/847192.mp4", "language": "English", "is_answered": true
| # | question_id | ocr_text | subject | class_level | video_url | thumbnail_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Exam Categorisation objects from doubtnut.com. All fields typed and schema-versioned.
"question_id": "DN_847192", "exam_name": "JEE Mains", "exam_year": 2021, "difficulty_level": "Medium", "topic": "Calculus", "chapter": "Differentiation", "board": "CBSE"
| # | question_id | exam_name | exam_year | difficulty_level | topic | sub_topic |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textbook Solutions objects from doubtnut.com. All fields typed and schema-versioned.
"book_name": "Mathematics for Class 12", "author": "R.D. Sharma", "publisher": "Dhanpat Rai Publications", "chapter_name": "Differentiation", "exercise_name": "Exercise 11.1", "question_number": "Q4", "video_link": "https://cdn.doubtnut.com/videos/rd_11_1_4.mp4"
| # | book_name | author | publisher | isbn | chapter_name | exercise_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Concept Videos objects from doubtnut.com. All fields typed and schema-versioned.
"video_id": "VID_9381", "title": "Introduction to Chain Rule", "duration_seconds": 420, "subject": "Mathematics", "tags": "['Calculus', 'Derivatives', 'Chain Rule']", "views": 15420, "upload_date": "2023-04-12T10:00:00Z"
| # | video_id | title | description | duration_seconds | instructor_name | subject |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Subject Taxonomies objects from doubtnut.com. All fields typed and schema-versioned.
"subject_id": "SUB_PHY_11", "subject_name": "Physics", "class_level": "Class 11", "board": "ICSE", "total_chapters": 15, "total_questions": 8450, "language": "English", "active": true
| # | subject_id | subject_name | class_level | board | total_chapters | total_questions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Doubtnut scraper handles the entire educational taxonomy: OCR question text, video solution links, exam mappings, and textbook categorisations — with API reverse engineering and CDN token management built in.
Extract raw question text, mathematical formulas, and OCR representations from image-based doubt submissions.
Capture direct CDN links to video solutions, including duration, language, and instructor metadata.
Map questions to specific textbooks like NCERT or RD Sharma, including chapter, exercise, and page numbers.
Extract categorisations for competitive exams such as JEE, NEET, and state board archives with historical year tags.
Reconstruct the full syllabus hierarchy from subject level down to specific micro-concepts and sub-topics.
Parse and store Hindi, English, and other regional language question variants with correct UTF-8 encoding.
Bypass web frontends and tap directly into Doubtnut's mobile APIs for structured, high-throughput extraction.
Resolve dynamic, tokenised video URLs into static, accessible links before delivery to your warehouse.
Run continuous pipelines to capture newly uploaded questions, solutions, and concept videos at daily cadences.
Brief in. Clean data out.
Provide classes, subjects, textbooks, or exam categories. We design the extraction schema together.
We configure API interceptors, proxy rotation, and CDN token resolution for doubtnut.com.
Schema validation, null-rate checks, and video link accessibility verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Doubtnut relies heavily on mobile APIs and dynamic media delivery. Here is how we maintain stable extraction.
Doubtnut is a mobile-first platform. We bypass the web DOM entirely, reverse-engineering their mobile API endpoints to extract structured JSON payloads directly, reducing bandwidth and increasing pipeline stability.
Video solution URLs often use temporary CDN tokens. Our pipeline resolves these dynamic links and normalises them, ensuring the URLs delivered to your database remain accessible for your downstream applications.
Questions submitted via images contain raw OCR text with formatting artifacts. We clean and normalise mathematical symbols and regional language characters into standard UTF-8 strings.
Subject and textbook pages use infinite scroll pagination. Our crawlers simulate the exact API cursor requests required to traverse entire categories without missing records or hitting rate limits.
EdTech platforms frequently update their API response structures. We monitor payload schemas in real time, alerting our engineers to structural changes before they corrupt your data warehouse.
AI companies extract vast corpuses of question-answer pairs to fine-tune educational models and reasoning engines.
Rival platforms monitor syllabus coverage, question difficulty distributions, and video production velocity to benchmark their own offerings.
Curriculum designers analyse question banks to identify missing topics or under-represented concepts in their own study materials.
Test-prep publishers aggregate categorised questions by exam type (JEE, NEET) to generate mock tests and practice papers.
Educational aggregators ingest structured question metadata to build vertical search engines for students.
Researchers analyse doubt-submission patterns to understand common student misconceptions across different boards and regions.
"Doubtnut holds one of the largest vernacular question banks in India — but extracting structured video solutions requires reverse-engineering mobile-first APIs."
Most teams underestimate the investment required: reliable Doubtnut scraping demands mobile API interception, CDN token resolution, regional language encoding support, and daily schema maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our doubtnut.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.
We prioritise direct API interception over DOM parsing. Scrapy handles the orchestration, request signing, and cursor pagination required to interface with Doubtnut's mobile backend.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request to bypass rate limits and geographic content restrictions.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 doubtnut.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available educational content is generally permissible under applicable law. DataFlirt targets only public, non-authenticated question banks, textbook mappings, and free video solutions. We do not extract personal user data or circumvent authentication walls for paid courses. Clients should review Doubtnut's ToS and consult legal counsel for specific use cases.
We extract the direct CDN URLs for the video solutions, along with metadata like duration and instructor. You can use these URLs to stream or download the video files in your own infrastructure. We do not host or deliver the raw MP4 files.
Yes. Our pipelines extract and store Hindi, Telugu, Tamil, and other regional language strings with proper UTF-8 encoding, ensuring no character corruption in the final dataset.
Formulas are extracted exactly as Doubtnut represents them in their API payloads—typically as LaTeX strings or MathML. We pass these structures directly to your warehouse without altering the mathematical syntax.
Yes. We can target specific textbook IDs or categories, extracting every chapter, exercise, and question mapped to that specific resource.
Our smallest packages start at a defined subject or textbook list (typically 10,000-50,000 questions). For larger corpuses or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 1,000 questions or a specific textbook chapter as part of the pre-engagement scoping process — so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a specific textbook's solutions or a continuous feed of JEE/NEET question banks — we scope, build, and operate the pipeline. Tell us what you need.
