We extract game metadata, curriculum alignments, worksheets, and learning objectives from SplashLearn. 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 Games & Modules objects from splashlearn.com. All fields typed and schema-versioned.
"game_id": "math_gr2_add_04", "title": "Add Two Digit Numbers", "subject": "Math", "grade_level": "Grade 2", "skill_category": "Addition", "interactive_type": "HTML5 Game", "learning_objective": "Master adding two digit numbers without regrouping."
| # | game_id | title | subject | grade_level | skill_category | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Worksheets objects from splashlearn.com. All fields typed and schema-versioned.
"worksheet_id": "ws_rdg_gr3_comp_12", "title": "Reading Comprehension: The Lost Dog", "subject": "Reading", "grade_level": "Grade 3", "topic": "Comprehension", "page_count": 2, "format": "PDF", "difficulty_level": "Intermediate"
| # | worksheet_id | title | subject | grade_level | topic | download_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Curriculum Alignment objects from splashlearn.com. All fields typed and schema-versioned.
"standard_id": "CCSS.MATH.CONTENT.2.OA.A.1", "standard_body": "Common Core", "grade": "Grade 2", "subject": "Math", "domain": "Operations and Algebraic Thinking", "associated_games": 14, "associated_worksheets": 22
| # | standard_id | standard_body | grade | subject | description | associated_games |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Learning Paths objects from splashlearn.com. All fields typed and schema-versioned.
"path_id": "path_math_fractions_intro", "title": "Introduction to Fractions", "grade": "Grade 3", "subject": "Math", "steps_count": 8, "estimated_time_mins": 120, "prerequisite_skills": "['Division Basics']", "target_skills": "['Identifying Fractions', 'Comparing Fractions']"
| # | path_id | title | grade | subject | steps_count | estimated_time_mins |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Subject Taxonomies objects from splashlearn.com. All fields typed and schema-versioned.
"category_id": "tax_math_geometry", "parent_category": "Math", "name": "Geometry", "total_games": 85, "total_worksheets": 142, "age_group": "5-10", "slug": "math/geometry"
| # | category_id | parent_category | name | description | total_games | total_worksheets |
|---|---|---|---|---|---|---|
| 1 | ||||||
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SplashLearn organises content into deeply nested skill trees and curriculum alignments. We extract this structure recursively, maintaining the relational mapping between games, worksheets, and learning standards.
Capture titles, descriptions, learning objectives, and thumbnails for every math and reading game in the catalogue.
Index thousands of printable worksheets, extracting page counts, topics, grade levels, and preview image URLs.
Extract Common Core and state standard alignments, linking specific educational standards to individual games and worksheets.
Map content accurately to PreK through Grade 5 categories, including granular skill tags like phonics, fractions, or geometry.
Rebuild the site's nested category structure into a flat, queryable relational format suitable for SQL databases.
Collect static asset URLs for thumbnails, preview images, and public worksheet PDFs for downstream ingestion.
Monitor the platform for new game releases, updated worksheets, and shifts in curriculum alignment.
Maintain foreign keys between learning paths, individual games, and the overarching curriculum standards.
Run one-off taxonomy exports or configure weekly pipelines to capture newly published educational materials.
Brief in. Clean data out.
Specify grades, subjects, or specific content types (games vs worksheets). We design the extraction schema.
We configure crawlers to navigate SplashLearn's single-page application structure and skill trees.
Schema validation, null-rate checks on curriculum alignments, and taxonomy integrity verification.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from modern EdTech platforms requires handling dynamic routing and heavily nested JSON state.
SplashLearn relies heavily on client-side rendering. We use Playwright to execute JavaScript, wait for API hydration, and capture the final DOM state before extracting metadata.
Educational content is buried inside nested categories (Subject > Grade > Topic > Skill). Our crawlers recursively traverse these paths to ensure complete catalogue coverage without orphaned records.
Where possible, we intercept the underlying JSON state objects transmitted to the browser, extracting clean, unformatted curriculum data directly rather than parsing HTML elements.
We extract and normalise CDN URLs for game thumbnails and worksheet previews, ensuring your application has immediate access to visual assets.
We manage request concurrency and rotate residential IPs to maintain high extraction speeds without triggering security blocks or degrading the platform's performance.
EdTech companies monitor content volume, subject coverage, and new feature releases to benchmark their own product roadmaps.
Instructional designers analyse how SplashLearn maps specific games to Common Core standards to inform their own curriculum mapping.
Educational portals and resource directories index game metadata and worksheet previews to route users to relevant learning tools.
Investors and analysts track catalogue growth across specific grade levels and subjects to assess platform expansion.
Publishers identify underserved topics or grade levels within the platform to target content creation efforts.
Machine learning teams use structured descriptions and curriculum alignments to train educational recommendation algorithms.
"SplashLearn maps thousands of interactive games to strict curriculum standards, creating a rich taxonomy of early childhood education data."
Extracting this taxonomy requires rendering complex single-page applications and navigating deeply nested skill trees. DataFlirt handles the JavaScript rendering and recursive crawling so your curriculum team receives clean, relational data ready for immediate analysis and integration.
Everything supported by our splashlearn.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, API hydration, and interaction flows required for EdTech SPAs.
We maintain pools of residential ISP proxies. Rotation happens per-request to ensure reliable access without triggering automated security blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and taxonomy reconstruction logic.
Data delivered to where your team already works — no new tooling required.
About splashlearn.com scraping, legality, and pipeline operations.
Ask us directly →We extract public-facing metadata including game titles, descriptions, subject categories, grade levels, associated skills, learning objectives, Common Core alignments, and worksheet catalog details. We do not extract actual gameplay logic or user data.
No. DataFlirt strictly extracts publicly available information. We do not circumvent authentication to scrape premium game logic, teacher dashboards, or individual student progress reports.
Our crawlers are configured to recursively traverse SplashLearn's taxonomy. We output the data with relational keys, allowing you to reconstruct the exact hierarchy from Subject down to specific learning objectives in your own database.
We extract the metadata and URLs for the worksheets. If the PDF is publicly accessible without authentication, we can configure the pipeline to download the asset to your S3 bucket, though this incurs additional bandwidth costs.
For educational catalogues, weekly or monthly refreshes are typically sufficient to capture new content. However, we can configure daily runs if you require high-frequency monitoring of curriculum changes.
Yes. If SplashLearn surfaces a specific standard identifier (e.g., CCSS.MATH.CONTENT.2.OA.A.1) on a game or worksheet page, we extract that identifier and map it directly to the corresponding asset record.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete taxonomy export or a continuous feed of new educational content — we scope, build, and operate the pipeline. Tell us what you need.
