We extract public curriculum alignments, activity metadata, Hall of Fame leaderboards, and regional standard mappings from Mathletics. 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 Curriculum Alignments objects from mathletics.com. All fields typed and schema-versioned.
"region": "UK", "curriculum_name": "National Curriculum", "grade_level": "Year 4", "subject": "Mathematics", "topic": "Number and Place Value", "standard_code": "4N2a", "standard_desc": "Order and compare numbers beyond 1000", "activity_count": 12
| # | region | curriculum_name | grade_level | subject | topic | subtopic |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Activity Metadata objects from mathletics.com. All fields typed and schema-versioned.
"activity_id": "ACT_8492", "title": "Place Value to 10,000", "description": "Identify the value of digits in a 4-digit number.", "grade_level": "Year 4", "format": "Interactive Quiz", "difficulty_level": "Intermediate", "points_available": 100, "expected_duration_mins": 15
| # | activity_id | title | description | grade_level | topic | format |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hall of Fame objects from mathletics.com. All fields typed and schema-versioned.
"date": "2026-05-12", "region": "Global", "category": "Daily Students", "rank": 1, "student_initials": "J.S.", "school_name": "St. Mary's Primary", "country": "Australia", "score": 14520, "scraped_at": "2026-05-12T08:15:00Z"
| # | date | region | category | rank | student_initials | school_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Resource Library objects from mathletics.com. All fields typed and schema-versioned.
"resource_id": "RES_1102", "title": "Fractions Workbook", "type": "PDF Printable", "grade_level": "Year 5", "topic": "Fractions", "download_url": "https://mathletics.com/resources/fractions-yr5.pdf", "page_count": 24, "file_size_kb": 3450
| # | resource_id | title | type | grade_level | topic | download_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Plans objects from mathletics.com. All fields typed and schema-versioned.
"region": "US", "plan_name": "Home Subscription", "user_type": "Parent", "currency": "USD", "price_annual": 99.0, "price_monthly": 19.95, "trial_available": true, "trial_days": 14, "scraped_at": "2026-05-12T09:00:00Z"
| # | region | plan_name | user_type | currency | price_annual | price_monthly |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mathletics scraper navigates client-side rendering and regional routing to extract curriculum mappings, activity metadata, and public leaderboards at scale.
Extract deep hierarchies linking regional curriculum standards to specific mathematical topics and subtopics.
Capture activity titles, descriptions, difficulty levels, and required prerequisites across all grade levels.
Monitor daily and weekly public leaderboards for students and schools across global and regional categories.
Target specific regional variants of Mathletics including UK, US, Australia, and New Zealand domains.
Index public workbooks, teacher guides, and PDF printables with direct download URLs and metadata.
Track subscription costs, trial offers, and school pricing tiers across different geographic markets.
Identify new curriculum additions or modified activities with our hash-based diffing engine.
Execute full browser sessions to render client-side Angular and React components heavily used on the platform.
Map distinct regional naming conventions into a normalised data schema for cross-border analysis.
Brief in. Clean data out.
Provide the target regions, grade levels, and data types. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, regional proxy routing, and session management.
Schema validation, null-rate checks, and curriculum mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Educational platforms use heavy client-side routing and regional gating. Here is how we maintain reliable extraction.
Mathletics relies heavily on client-side frameworks to load curriculum trees and leaderboards. We run full Playwright browser sessions to execute JavaScript, trigger API calls, and hydrate the DOM before extraction.
Curriculum data changes based on the user IP address. We route requests through residential proxies located in the target region to ensure we capture accurate local standards and pricing.
EdTech platforms frequently update their UI. Our selector strategy uses multiple fallback chains per field, including XPath, CSS, and internal API interception, so layout changes do not break your data pipeline.
For large curriculum catalogues, we maintain a hash index of last-seen values per node. 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, missing grade levels, and coverage drops, responding before you notice.
EdTech companies track Mathletics feature releases, curriculum coverage, and pricing changes to inform their own product roadmaps.
Instructional designers analyse how Mathletics maps activities to regional standards to benchmark their own content alignment.
Analysts track public school leaderboards to estimate regional adoption rates and market penetration.
Publishers identify underserved topics or grade levels within digital mathematics curricula to target new content creation.
Competitors monitor B2C and B2B pricing tiers, promotional offers, and regional variations to optimise their own pricing models.
Machine learning teams use structured curriculum hierarchies to train educational classification models and recommendation engines.
"Mathletics contains one of the most comprehensive digital curriculum mappings available, but extracting it requires navigating heavy client-side rendering and regional routing."
Most teams underestimate the complexity of extracting EdTech taxonomies. Reliable Mathletics scraping requires full JavaScript rendering, regional proxy targeting, and strict schema validation to map activities to standards. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our mathletics.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, client-side routing, and interaction flows for SPA content.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request to ensure accurate local curriculum data.
Pipelines run on AWS Lambda and ECS. 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 mathletics.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Mathletics is generally permissible under applicable law. DataFlirt targets only public, non-authenticated curriculum data, pricing, and public leaderboards. We do not extract student PII, circumvent authentication walls, or violate GDPR. Clients should review Mathletics ToS and consult legal counsel for specific use cases.
We use residential ISP proxies located in the target countries (e.g., UK, US, Australia) to ensure the Mathletics platform serves the correct regional curriculum standards and pricing.
No. DataFlirt only extracts public data. We do not scrape gated student dashboards, individual grades, or private school assignment logs.
Hall of Fame leaderboards can be polled hourly. Full curriculum and activity catalogues typically refresh on a weekly or monthly cadence depending on your requirements.
Yes. Where Mathletics publicly links an activity to a specific standard code (e.g., Common Core or UK National Curriculum), we extract that relationship into a structured schema.
Our smallest packages start at a defined regional curriculum extraction with monthly delivery. Contact us with your specific use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 curriculum nodes or activities as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum export or continuous tracking of public leaderboards, we scope, build, and operate the pipeline. Tell us what you need.
