We extract textbook catalogues, chapter hierarchies, question banks, educator profiles, and video metadata from Numerade. 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 Textbook Metadata objects from numerade.com. All fields typed and schema-versioned.
"isbn_13": "9780134093413", "title": "Campbell Biology", "author": "Lisa A. Urry, Michael L. Cain", "edition": "11th", "subject_category": "Biology", "chapter_count": 56, "total_questions": 4210, "page_url": "https://www.numerade.com/books/campbell-biology-11th/"
| # | isbn_13 | isbn_10 | title | author | edition | publisher |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Chapter Hierarchies objects from numerade.com. All fields typed and schema-versioned.
"book_isbn": "9780134093413", "chapter_number": "4", "chapter_title": "Carbon and the Molecular Diversity of Life", "section_number": "4.1", "section_title": "Organic Chemistry is the study of carbon compounds", "question_count": 12, "video_count": 12, "scraped_at": "2026-08-14T10:12:00Z"
| # | book_isbn | chapter_number | chapter_title | section_number | section_title | question_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Question Bank objects from numerade.com. All fields typed and schema-versioned.
"question_id": "q_892114", "book_isbn": "9780134093413", "chapter_number": "4", "question_number": "3", "raw_text": "Draw the structural formula for C2H4.", "difficulty_level": "Medium", "has_video_solution": true, "page_url": "https://www.numerade.com/questions/draw-the-structural-formula-for-c2h4/"
| # | question_id | book_isbn | chapter_number | question_number | raw_text | latex_formulas |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Video Solution Metadata objects from numerade.com. All fields typed and schema-versioned.
"solution_id": "sol_449102", "question_id": "q_892114", "educator_id": "edu_7721", "duration_seconds": 142, "view_count": 8904, "like_count": 341, "upload_date": "2022-04-11", "is_gated": true
| # | solution_id | question_id | educator_id | duration_seconds | view_count | like_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Educator Profiles objects from numerade.com. All fields typed and schema-versioned.
"educator_id": "edu_7721", "full_name": "Dr. Sarah Jenkins", "university_affiliation": "University of California, Berkeley", "degree": "Ph.D. in Organic Chemistry", "subject_specialties": "['Chemistry', 'Biology']", "total_videos_created": 1402, "total_views": 1250400, "profile_url": "https://www.numerade.com/educators/sarah-jenkins/"
| # | educator_id | full_name | university_affiliation | degree | subject_specialties | total_videos_created |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Numerade scraper handles the entire platform architecture: textbook catalogues, deep chapter navigation, embedded LaTeX question parsing, and educator metrics - with JavaScript rendering and session management built in.
Extract ISBNs, authors, editions, and publishers across all STEM subjects to build a comprehensive academic database.
Map exact chapter and section structures to reconstruct textbook navigation menus and syllabus alignments.
Scrape raw question text, parse embedded MathJax/LaTeX formulas, and extract diagram URLs for millions of textbook problems.
Capture duration, view counts, upload timestamps, and thumbnail URLs for educator solution videos.
Extract university affiliations, degrees, subject specialties, and total video metrics per educator profile.
Map textbook usage and syllabus structures to specific university courses listed on the Numerade platform.
Extract course outlines, module titles, and instructor assignments for Numerade STEM bootcamps.
Classify content precisely across Physics, Chemistry, Calculus, Biology, and Engineering nodes.
Run one-off bulk exports or configure continuous pipelines at weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide subject categories, specific ISBNs, or educator URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for numerade.com.
Schema validation, null-rate checks, LaTeX parsing verification, and sample datasets before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Educational platforms use dynamic rendering and aggressive rate limiting. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Numerade blocks repetitive data centre IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass rate limits.
Numerade uses dynamic loading for video metadata and question text. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
STEM questions rely heavily on embedded formulas. Our pipeline parses MathJax and structural elements to deliver clean, raw LaTeX strings rather than broken HTML fragments.
For large textbook catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops - and respond before you notice.
EdTech platforms monitor content coverage, textbook mapping, and educator acquisition rates to benchmark against Numerade.
Machine learning teams extract structured question banks and metadata to train STEM-focused reasoning and calculation models.
Analysts track textbook adoption rates and subject popularity based on platform engagement metrics and solution view counts.
Tutoring platforms identify high-performing STEM educators and video creators based on view counts and output volume.
Publishers map existing textbook solutions against university syllabi to identify missing chapters or under-served subjects.
Marketing teams analyse high-traffic textbook queries and question structures to inform organic search strategies.
"Numerade holds one of the most comprehensive structured databases of STEM textbook problems on the internet - essential for training educational AI models."
Scraping educational platforms requires rendering complex LaTeX formulas, mapping deep chapter hierarchies, and bypassing strict anti-bot measures. DataFlirt manages this infrastructure so your engineering team can focus on training models and analysing content gaps.
Everything supported by our numerade.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, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 numerade.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available metadata, textbook structures, and educator profiles is generally permissible under applicable law. DataFlirt targets only public, non-authenticated data. We do not extract paywalled video content, circumvent authentication walls, or violate copyright law by downloading actual video files. Clients should consult legal counsel for specific use cases.
No. We extract the metadata surrounding the video - such as duration, view counts, upload dates, educator attribution, and thumbnail URLs. We do not download or distribute the proprietary MP4/HLS video streams.
Numerade renders math formulas using MathJax or similar libraries. Our pipeline targets the underlying structural elements to extract raw LaTeX strings, ensuring the math remains perfectly formatted for LLM training or database storage.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limits in real time and trigger pool rotation automatically.
Full catalogue refreshes at weekly or monthly cadences complete within a 12-24 hour window depending on scale. We can configure targeted daily runs for specific high-velocity educator profiles.
Our smallest packages start at a defined textbook list (typically 500-2,000 books) with monthly delivery. For full platform catalogues or custom schema requirements, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 20 textbooks or 100 educator profiles as part of the pre-engagement scoping process - so you can validate schema fit, LaTeX parsing, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off textbook catalogue dump or a continuous educator tracking feed - we scope, build, and operate the pipeline. Tell us what you need.
