We extract textbook metadata, expert Q&A archives, literature guides, and STEM solutions from Bartleby. 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 Solutions objects from bartleby.com. All fields typed and schema-versioned.
"isbn_13": "9781305071759", "title": "Calculus: Early Transcendentals", "authors": "['James Stewart']", "publisher": "Cengage Learning", "edition": "8th", "subject": "Math", "chapter_name": "Derivatives", "problem_number": "14"
| # | isbn_13 | isbn_10 | title | authors | publisher | edition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Expert Q&A objects from bartleby.com. All fields typed and schema-versioned.
"question_id": "Q-892147", "subject": "Engineering", "sub_subject": "Mechanical Engineering", "question_title": "Calculate the tensile stress in the rod", "expert_rating": 4.8, "upvotes": 12, "answer_text": "To find the tensile stress, we divide the applied force by the cross-sectional area..."
| # | question_id | subject | sub_subject | question_title | question_body | image_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Literature Guides objects from bartleby.com. All fields typed and schema-versioned.
"book_title": "1984", "author": "George Orwell", "genre": "Dystopian Fiction", "overview": "A novel about a totalitarian regime...", "major_themes": "['Totalitarianism', 'Surveillance', 'Reality Control']", "essay_topics": "['Discuss the role of the telescreen in Oceania.']"
| # | guide_id | book_title | author | publication_year | genre | overview |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Subject Taxonomy objects from bartleby.com. All fields typed and schema-versioned.
"category_id": "SUB-442", "category_name": "Organic Chemistry", "parent_category": "Science", "total_textbooks": 142, "total_questions": 89204, "popular_topics": "['Alkenes', 'Stereochemistry', 'NMR Spectroscopy']"
| # | category_id | category_name | parent_category | description | total_textbooks | total_questions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from bartleby.com. All fields typed and schema-versioned.
"search_query": "thermodynamics laws", "result_type": "Q&A", "position": 1, "title": "Explain the second law of thermodynamics", "snippet": "The second law of thermodynamics states that the total entropy of an isolated system...", "url": "https://www.bartleby.com/questions-and-answers/...", "scraped_at": "2026-05-12T09:14:33Z"
| # | search_query | result_type | position | title | snippet | match_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Bartleby scraper extracts deep educational content including complex MathML equations, hierarchical textbook metadata, and expert answers. We handle the JavaScript rendering and session management required to access structured study materials.
Capture ISBN-13, ISBN-10, edition, authors, publisher, and subject categorisation for every textbook in the database.
Extract problem statements and multi-step solutions organised by chapter and problem number.
Scrape student questions, expert answers, upvotes, and subject tags across millions of archived threads.
Extract MathML and LaTeX representations of complex STEM equations to preserve mathematical integrity.
Capture plot summaries, character analyses, themes, and essay topics from the literature study section.
Reconstruct the hierarchical subject trees mapping Engineering, Business, Math, and Science categories.
Extract and store reference URLs for figures, charts, and diagrams embedded within physics and engineering solutions.
Track keyword visibility and content coverage across the Q&A and textbook databases.
Run continuous pipelines to capture newly answered Q&A threads and recently added textbook solutions.
Brief in. Clean data out.
Provide ISBN lists, subject categories, or Q&A search queries. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and MathML parsing logic for bartleby.com.
Schema validation, null-rate checks, equation rendering tests, and sample exports before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured educational data requires more than basic HTTP requests. Here is how we maintain data integrity across complex STEM layouts.
Bartleby monitors request volumes and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to maintain uninterrupted access.
STEM solutions rely heavily on mathematical notation. We parse MathML nodes directly from the DOM and convert them into clean LaTeX strings, ensuring no data loss for complex formulas.
Many textbook solutions and Q&A threads load content dynamically via JavaScript. We run full Playwright browser sessions to trigger lazy-loading and capture the complete DOM.
Textbook formatting varies wildly between publishers and subjects. Our selector strategy uses fallback chains to normalise data across different structural templates.
For the Q&A corpus, we maintain a hash index of known question IDs. Subsequent runs only extract newly posted or recently answered threads, reducing compute overhead.
AI labs use structured step-by-step solutions and expert Q&A threads to train reasoning models and domain-specific STEM classifiers.
Educational platforms enrich their internal databases with textbook metadata, ISBN mappings, and subject taxonomies.
Researchers analyse student pain points, common misconceptions, and query trends across thousands of STEM subjects.
Publishers monitor textbook coverage, solution availability, and content gaps across competing educational platforms.
Content teams analyse high-volume student queries and subject taxonomy to guide organic search strategies.
Academic integrity tools build reference databases from public Q&A archives to detect unoriginal student submissions.
"Bartleby contains millions of structured step-by-step solutions and expert Q&A threads. It is the perfect corpus for training reasoning models, provided you can extract the math cleanly."
Extracting educational data requires handling complex DOM structures, MathML rendering, and strict anti-bot systems. DataFlirt manages the proxies, JavaScript execution, and schema parsing so your engineers can focus on model training and data integration.
Everything supported by our bartleby.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 and dynamic content loading for complex textbook layouts.
We maintain pools of residential ISP proxies. Rotation happens per request to prevent IP bans and ensure consistent access to the Q&A database.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About bartleby.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated textbook metadata, literature guides, and exposed Q&A snippets. We do not circumvent paywalls to extract premium expert answers. Clients should review applicable terms of service and consult legal counsel.
We extract MathML nodes directly from the DOM and convert them into clean LaTeX strings. This ensures complex mathematical notations, fractions, and integrals are preserved without data loss.
Yes. We extract image URLs embedded within solutions. If required, we can download the assets and host them in an S3 bucket, providing you with the direct reference links in the structured output.
Yes. You can provide a list of ISBNs or textbook URLs. We extract the hierarchical structure including chapters, sections, problem numbers, and the corresponding solution text.
We configure continuous pipelines that monitor specific subject categories. New questions and answers are extracted and delivered daily or hourly depending on your requirements.
Absolutely. We provide a sample run of up to 500 Q&A threads or 5 textbooks during the pre-engagement scoping process to validate schema fit and equation rendering quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full textbook metadata dump or continuous Q&A extraction for LLM training. We scope, build, and operate the pipeline. Tell us what you need.
