We extract FlexBooks, adaptive practice datasets, PLIX interactives, and Common Core alignments from CK-12. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 FlexBooks objects from ck12.org. All fields typed and schema-versioned.
"book_id": "FB-94821", "title": "CK-12 Physics for High School", "subject": "Physics", "grade_levels": "['9', '10', '11', '12']", "author": "CK-12 Foundation", "chapters_count": 24, "standards_aligned": "['NGSS', 'Common Core Math']"
| # | book_id | title | subject | grade_levels | author | chapters_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Chapters & Sections objects from ck12.org. All fields typed and schema-versioned.
"chapter_id": "CH-102", "book_id": "FB-94821", "title": "Newton's Laws of Motion", "sequence_number": 4, "estimated_reading_time": "15 mins", "concepts_covered": "['Inertia', 'Force', 'Mass']", "practice_url": "https://www.ck12.org/practice/newtons-laws"
| # | chapter_id | book_id | title | sequence_number | concepts_covered | estimated_reading_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Concepts objects from ck12.org. All fields typed and schema-versioned.
"concept_id": "CP-405", "name": "Kinetic Energy", "subject": "Physics", "sub_subject": "Energy and Momentum", "related_concepts": "['Potential Energy', 'Work']", "standard_codes": "['HS-PS3-1', 'HS-PS3-2']", "plix_available": true
| # | concept_id | name | subject | sub_subject | description | related_concepts |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Practice Questions objects from ck12.org. All fields typed and schema-versioned.
"question_id": "Q-88392", "concept_id": "CP-405", "difficulty_level": "Medium", "question_type": "Multiple Choice", "question_text": "What is the kinetic energy of a 2 kg object moving at 3 m/s?", "correct_answer": "9 J", "hint": "Use the formula KE = 0.5 * m * v^2"
| # | question_id | concept_id | difficulty_level | question_text | question_type | options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for PLIX Interactives objects from ck12.org. All fields typed and schema-versioned.
"plix_id": "PLX-712", "title": "Projectile Motion Simulator", "concept_id": "CP-211", "subject": "Physics", "interactive_url": "https://www.ck12.org/plix/projectile-motion", "variables": "['angle', 'initial_velocity', 'height']", "alignment_codes": "['HS-PS2-1']"
| # | plix_id | title | concept_id | subject | description | interactive_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our CK-12 pipeline captures complex educational structures: nested taxonomies, mathematical formatting, interactive metadata, and standards alignment, preserving the relational graph of STEM concepts.
Extract full textbook content including text, images, embedded videos, and interactive elements across all subjects and grade levels.
Capture raw LaTeX and MathML strings behind rendered equations to ensure mathematical formulas remain readable and computable.
Map the complete hierarchy from broad subjects down to specific branches, concepts, and individual learning modalities.
Extract question text, multiple choice options, correct answers, hints, and step-by-step explanations for assessment generation.
Capture mapping codes for Common Core Math, Common Core ELA, and Next Generation Science Standards (NGSS) per concept.
Extract descriptions, variables, and challenge questions associated with Play Learn Interact eXplore (PLIX) simulations.
Maintain explicit foreign key relationships between FlexBooks, chapters, concepts, and practice sets in the final output.
Run scheduled diffs to identify new concepts, updated standard alignments, or modified practice questions.
Extract translated FlexBooks and concepts available in Spanish and other supported languages on the platform.
Brief in. Clean data out.
Provide target subjects, grade levels, or specific FlexBook URLs. We define the schema and standard code requirements.
We configure Playwright spiders to handle FlexBook 2.0 SPA routing and API interceptors for practice question datasets.
Schema validation, null-rate checks on LaTeX rendering, and relational integrity testing across the concept graph.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting modern educational platforms requires handling single-page applications, complex mathematics rendering, and hidden API endpoints.
CK-12 uses MathJax to render complex equations in the browser. Scraping the DOM yields unreadable character soup. We extract the raw LaTeX or MathML source attributes directly, preserving mathematical integrity for downstream parsing.
FlexBook 2.0 operates as a single-page application heavily reliant on client-side state. We use Playwright to execute JavaScript, wait for network idle states, and handle dynamic content hydration before extracting node data.
Practice questions and adaptive assessments load via asynchronous XHR requests rather than HTML. Our infrastructure intercepts these backend API calls, extracting clean JSON payloads containing questions, answers, and hints.
Educational content is highly relational. A single concept links to multiple FlexBook chapters, PLIX interactives, and practice sets. We maintain explicit ID mapping across all extracted entities to ensure your database reflects the true taxonomy.
Crawling deep taxonomies triggers rate limits. We distribute requests across US residential proxy pools, normalising request headers and managing cookie sessions to maintain continuous extraction without IP bans.
Bootstrap new learning management systems with foundational STEM concepts, reading materials, and practice questions.
Train LLMs and educational chatbots using structured Q&A pairs, progressive hints, and step-by-step mathematical explanations.
Analyse standards alignment across different subjects to identify coverage gaps and build compliant curriculum frameworks.
Convert web-based FlexBooks into offline-first formats or mobile applications for low-bandwidth educational environments.
Build subject matter graphs connecting physics, chemistry, and biology concepts using the explicit CK-12 taxonomy.
Aggregate practice questions by difficulty tier and standard code to generate mock assessments for specific grade levels.
"CK-12 holds a massive repository of structured STEM knowledge, but mapping concepts to practice sets and standard codes requires a relational extraction pipeline."
Extracting educational content goes beyond standard web scraping. Math equations render in JavaScript, practice questions load dynamically via hidden APIs, and content maps to complex taxonomies. DataFlirt handles the DOM rendering, API interception, and relational mapping so your data science team receives clean, queryable knowledge graphs.
Everything supported by our ck12.org 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 taxonomy traversal. Playwright handles JavaScript rendering, SPA routing, and network interception for dynamic educational content.
We maintain pools of residential ISP proxies to distribute request load. This prevents IP blocking during intensive scraping of deeply nested FlexBook chapters.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling for curriculum updates. All relational state is preserved in managed PostgreSQL before export.
Data delivered to where your team already works — no new tooling required.
About ck12.org scraping, legality, and pipeline operations.
Ask us directly →CK-12 provides educational content under a Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) license. Scraping public content is generally permissible, provided users adhere to the non-commercial restrictions and attribution requirements of the license. DataFlirt extracts only public, non-authenticated data. Clients must consult legal counsel regarding their specific commercial or non-commercial use cases.
We do not scrape the rendered DOM elements for equations, which often results in broken text. Instead, we extract the raw LaTeX or MathML source strings embedded in the page attributes, ensuring equations remain computable and render correctly in your application.
Yes. While practice questions load dynamically via hidden API calls, our Playwright infrastructure intercepts these network requests to extract clean JSON containing the question text, options, correct answers, and hints.
Yes. We extract the explicit standard codes (Common Core Math, Common Core ELA, NGSS) associated with each concept, chapter, or practice set, allowing you to build compliant curriculum maps.
Our pipelines are designed relationally. We assign persistent IDs to FlexBooks, chapters, concepts, and practice sets, outputting data with explicit foreign keys so you can reconstruct the exact educational hierarchy in your database.
Engagements typically start with a defined scope, such as a specific subject taxonomy (e.g., High School Physics) or a set of 50 FlexBooks. We price based on data volume, schema complexity, and extraction frequency. Contact us for a scoped quote.
Yes. We offer a sample extraction of a single FlexBook or a specific concept branch to validate schema fit, LaTeX extraction quality, and relational integrity before commencing a full engagement.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full FlexBook catalogue export or continuous extraction of STEM concepts - we scope, build, and operate the pipeline. Tell us what you need.
