We extract worksheet metadata, curriculum hierarchies, grade-level mapping, and workbook pricing from K5Learning. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Worksheet Metadata objects from k5learning.com. All fields typed and schema-versioned.
"worksheet_id": "wk-math-04-12", "title": "Fractions to Decimals", "grade_level": "Grade 4", "subject": "Math", "topic": "Fractions", "pdf_url": "https://k5learning.com/worksheets/math/fractions-decimals-a.pdf", "answer_key_url": "https://k5learning.com/worksheets/math/fractions-decimals-a-answers.pdf"
| # | worksheet_id | title | description | grade_level | subject | topic |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Subject Taxonomy objects from k5learning.com. All fields typed and schema-versioned.
"category_id": "cat-reading-comp", "category_name": "Reading Comprehension", "parent_category": "Reading", "grade_range": "K-5", "worksheet_count": 1450, "url_slug": "/reading-comprehension", "meta_title": "Free Reading Comprehension Worksheets"
| # | category_id | category_name | parent_category | grade_range | description | url_slug |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Workbooks & Pricing objects from k5learning.com. All fields typed and schema-versioned.
"workbook_id": "wb-math-gr3", "title": "Grade 3 Math Workbook", "price": 14.95, "currency": "USD", "page_count": 125, "format": "PDF Download", "grade_level": "Grade 3"
| # | workbook_id | title | description | price | currency | page_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Preview Images objects from k5learning.com. All fields typed and schema-versioned.
"image_id": "img-9921", "worksheet_id": "wk-math-04-12", "image_url": "https://k5learning.com/images/fractions-preview.jpg", "resolution": "800x1200", "alt_text": "Long division practice worksheet", "is_thumbnail": true
| # | image_id | worksheet_id | image_url | resolution | alt_text | page_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Answer Keys objects from k5learning.com. All fields typed and schema-versioned.
"answer_key_id": "ans-math-04-12", "worksheet_id": "wk-math-04-12", "pdf_url": "https://k5learning.com/worksheets/math/answers.pdf", "page_count": 2, "access_level": "public", "is_bundled": false
| # | answer_key_id | worksheet_id | pdf_url | page_count | file_size | access_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our K5Learning scraper maps deep educational taxonomies, extracting structured metadata, curriculum hierarchies, and PDF asset links across thousands of pages.
Extract subject, topic, and subtopic hierarchies across Math, Reading, Science, and Grammar.
Capture titles, descriptions, grade levels, and instructional text for tens of thousands of resources.
Scrape direct download URLs for worksheets and their corresponding answer keys without manual clicking.
Extract high-resolution preview images and thumbnails used for worksheet indexing and visual search.
Monitor price points, page counts, and bundle offers for premium K5Learning workbooks.
Map content cleanly from Kindergarten through Grade 6 across all subject verticals.
Extract internal tagging structures to replicate K5Learning's content categorisation.
Check HTTP status codes on extracted PDF links to ensure zero dead links in the final dataset.
Run weekly diffs to identify newly added worksheets or updated curriculum materials.
Brief in. Clean data out.
Provide target subjects or grade levels. We design the extraction schema together.
We configure Scrapy crawlers, recursive taxonomy traversal, and asset validation for k5learning.com.
Schema validation, dead-link checks, and taxonomy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting deep educational taxonomies requires recursive logic and asset validation. Here is how we maintain data integrity.
Subjects contain topics, subtopics, and paginated lists. We map the entire tree recursively, ensuring every worksheet is tagged with its full lineage.
Extracting correct asset URLs for both questions and answer keys requires precise selector targeting across varying page templates.
Handling legacy pages versus newly updated worksheet templates. Our selector strategy uses multiple fallback chains per field.
We verify all extracted PDF and image URLs return a 200 OK status code before delivery, eliminating dead links in your dataset.
Every run emits structured logs to our observability stack. We alert on null-rate spikes or missing PDF paths.
Integrate K5Learning metadata into unified educational search platforms and resource directories.
Analyse topic coverage and progression paths to inform proprietary curriculum design.
Feed structured worksheet descriptions and categorisations into models fine-tuned for educational queries.
Monitor workbook pricing, page counts, and bundle structures for digital educational products.
Map specific math and reading concepts to external tutoring platforms using K5 taxonomy.
Analyse metadata and category structures to identify high-demand educational niches.
"K5Learning holds a vast, highly structured repository of foundational education materials. Extracting this taxonomy cleanly transforms static PDFs into a queryable curriculum database."
Navigating deep educational taxonomies requires more than simple crawling. K5Learning's nested structure of subjects, grades, topics, and subtopics demands recursive extraction logic. DataFlirt handles the recursive mapping, PDF link validation, and schema normalisation so your engineering team receives a perfectly structured curriculum dataset ready for immediate ingestion.
Everything supported by our k5learning.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 spiders designed to traverse deep educational taxonomies from subject down to individual worksheet.
Automated HEAD requests to verify all extracted PDF and image URLs return 200 OK before delivery.
Airflow schedules weekly taxonomy sweeps, running on scalable Kubernetes clusters with Postgres state management.
Data delivered to where your team already works — no new tooling required.
About k5learning.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public worksheet metadata and free PDF links is generally permissible. DataFlirt targets only public, non-authenticated curriculum data. We do not circumvent authentication walls for premium content.
We extract the structured metadata and direct URLs to the PDFs. We can configure asset downloading to your S3 bucket if required.
We use recursive traversal to map the parent-child relationships, ensuring every worksheet retains its full subject and topic lineage.
Yes. We run differential crawls to flag newly published resources and emit only the delta records.
Yes. We capture pricing, page counts, formats, and descriptions for their premium workbooks.
We typically run K5Learning pipelines on a weekly or monthly cadence, as educational content velocity is moderate compared to eCommerce.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of the entire math curriculum or a continuous feed of new reading worksheets, we build the infrastructure. Tell us what you need.
