We extract curriculum standards, skill trees, educational resources, and membership pricing from Prodigygame. 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 Curriculum Standards objects from prodigygame.com. All fields typed and schema-versioned.
"standard_id": "CCSS.MATH.CONTENT.3.OA.A.1", "state_or_region": "Common Core", "grade_level": "Grade 3", "subject": "Math", "domain": "Operations & Algebraic Thinking", "cluster": "Represent and solve problems involving multiplication and division.", "standard_text": "Interpret products of whole numbers.", "skill_code": "3.OA.1"
| # | standard_id | state_or_region | grade_level | subject | domain | cluster |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Math Skills objects from prodigygame.com. All fields typed and schema-versioned.
"skill_id": "MATH-3-FRAC-01", "grade": "Grade 3", "topic": "Fractions", "subtopic": "Understanding Fractions", "description": "Identify the numerator and denominator of a fraction.", "difficulty_level": "Beginner", "question_types": "['Multiple Choice', 'Visual Model']", "in_game_category": "Tower Data"
| # | skill_id | grade | topic | subtopic | description | prerequisites |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for English Skills objects from prodigygame.com. All fields typed and schema-versioned.
"skill_id": "ENG-4-GRAM-04", "grade": "Grade 4", "reading_domain": "Language", "writing_domain": "Grammar", "description": "Use relative pronouns (who, whose, whom, which, that).", "standard_alignment": "CCSS.ELA-LITERACY.L.4.1.A", "example_prompt": "Select the correct relative pronoun to complete the sentence.", "mastery_criteria": "80% accuracy over 10 questions"
| # | skill_id | grade | reading_domain | writing_domain | description | standard_alignment |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Resource Articles objects from prodigygame.com. All fields typed and schema-versioned.
"article_id": "RES-8921", "title": "15 Fun Math Games for the Classroom", "author": "Prodigy Education Team", "publish_date": "2025-08-14T00:00:00Z", "category": "Teaching Strategies", "tags": "['Math', 'Classroom Engagement', 'Elementary']", "target_audience": "Teachers", "url": "https://www.prodigygame.com/main-en/blog/math-games/"
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Membership Pricing objects from prodigygame.com. All fields typed and schema-versioned.
"tier_name": "Level Up", "billing_cycle": "Annual", "price": 79.99, "currency": "USD", "features_included": "['Mythical Epics', 'Exclusive Gear', 'Parent Reports']", "parent_accounts": 1, "student_accounts": 1, "discount_pct": 33
| # | tier_name | billing_cycle | price | currency | features_included | parent_accounts |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Prodigygame scraper handles state standard mapping, nested skill trees, Next.js hydration, and dynamic pricing tables — delivering structured educational data directly to your warehouse.
Extract deep mappings between Prodigy game skills and state-specific standards like Common Core and TEKS.
Traverse and extract the complete hierarchy of math and English competencies, including prerequisites and difficulty levels.
Standardise educational codes and cluster descriptions across multiple state curricula into a single unified schema.
Paginate through the Prodigy blog and resource centre to extract articles, teaching strategies, and SEO metadata.
Monitor membership pricing, billing cycles, feature gating, and promotional discounts across different regions.
Extract public metadata regarding in-game items, pets, epics, and their associated educational unlock requirements.
Execute Next.js and React components via Playwright to extract data hydrated client-side.
Run one-off bulk exports or configure continuous pipelines at weekly or monthly cadences with change-detection diffing.
Automated null-rate checks and data type validation ensure your educational taxonomies remain consistent.
Brief in. Clean data out.
Provide standard codes, subject areas, or content categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and tree traversal logic for prodigygame.com.
Schema validation, null-rate checks, and sample skill mappings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
EdTech platforms deploy modern web stacks and aggressive CDN caching. Here is how we extract reliable taxonomy data.
Prodigygame uses strict CDN rules and bot mitigation. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass WAF challenges.
Modern educational platforms rely heavily on client-side rendering. We run full Playwright browser sessions to trigger React hydration, capturing skill trees that headless HTTP clients miss.
Educational taxonomies are deeply nested. Our selector strategy uses recursive traversal and structured data extraction to ensure complex standard-to-skill relationships are maintained without data loss.
Curriculum standards update frequently. We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, providing a clean changelog of educational standard modifications.
Every run emits structured logs to our observability stack. We alert on null-rate spikes in standard definitions or missing grade levels, ensuring taxonomy completeness.
Educational platforms monitor Prodigy's skill coverage, game mechanics, and pricing models to inform their own product roadmaps.
Instructional designers extract state standard alignments to map their own content against established EdTech taxonomies.
Publishers aggregate Common Core and TEKS mappings to understand how digital games translate legislative standards into practical skills.
Marketing teams scrape resource libraries and blog tags to identify high-volume educational keywords and content gaps.
Competitors track membership tiers, parent vs. student account ratios, and promotional discounts to optimise their pricing strategy.
ML teams use structured skill trees and standard alignments to train educational recommendation engines and adaptive learning models.
"Prodigygame maps thousands of math and English skills to state standards — but this curriculum taxonomy is locked behind complex React components."
Extracting educational taxonomies requires more than simple HTTP requests. Reliable Prodigy scraping requires full JavaScript rendering, proxy rotation, and recursive tree traversal to capture deeply nested curriculum alignments without data loss. DataFlirt absorbs that complexity so your engineers can focus on product development.
Everything supported by our prodigygame.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. 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 prodigygame.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated curriculum data, pricing, and blog resources. We strictly do not extract student PII, grades, or circumvent authentication walls, ensuring compliance with FERPA and GDPR.
We use full Playwright browser sessions to execute JavaScript and trigger client-side hydration. This allows us to extract deeply nested skill trees and standard alignments that are not present in the initial HTML payload.
Yes. We can map Prodigy skills to specific state standards like Common Core, TEKS, and other regional curricula exposed on their public alignment pages.
No. Student gameplay data, classroom analytics, and parent account details are gated behind login walls and protected by privacy laws. We only extract public platform metadata.
Curriculum data typically updates seasonally. We configure pipelines to run weekly or monthly depending on your requirements, using hash-based diffing to alert you only when standards or skills change.
Our smallest packages start at a defined set of subject areas or state standards with monthly delivery. For full platform taxonomy extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 skill nodes or one complete state standard mapping as part of the pre-engagement scoping process.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum taxonomy dump or continuous pricing monitoring — we scope, build, and operate the pipeline. Tell us what you need.
