We extract curriculum maps, learning activities, pricing models, and application reviews from ABCmouse. 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 Levels objects from abcmouse.com. All fields typed and schema-versioned.
"level_id": "lvl_4", "title": "Level 4: Preschool", "age_range": "3-4 years", "lesson_count": 45, "activity_count": 312, "environment_theme": "Farm", "prerequisites": "Level 3"
| # | level_id | title | age_range | subject_count | lesson_count | activity_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Activities & Games objects from abcmouse.com. All fields typed and schema-versioned.
"activity_id": "act_8941", "title": "Count the Apples", "type": "Interactive Game", "subject": "Math", "level": "Level 4", "learning_objective": "Number recognition 1-10", "device_compatibility": "['desktop', 'tablet', 'mobile']"
| # | activity_id | title | type | subject | level | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Subscriptions objects from abcmouse.com. All fields typed and schema-versioned.
"plan_id": "sub_annual_2026", "billing_cycle": "annual", "price": 59.99, "currency": "USD", "discount_pct": 45, "trial_days": 30, "family_slots": 3
| # | plan_id | billing_cycle | price | currency | discount_pct | trial_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Books & Reading objects from abcmouse.com. All fields typed and schema-versioned.
"book_id": "bk_332", "title": "The Big Red Dog", "reading_level": "Beginner", "category": "Fiction", "page_count": 12, "audio_narration": true, "lexile_measure": "BR40L"
| # | book_id | title | author | reading_level | category | page_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Platform Reviews objects from abcmouse.com. All fields typed and schema-versioned.
"review_id": "rev_9921", "platform": "iOS App Store", "rating": 5, "date": "2026-02-14", "text": "Great curriculum progression for my 4-year-old.", "helpful_votes": 12, "version_reviewed": "8.4.1"
| # | review_id | platform | rating | author | date | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipelines parse the entire ABCmouse public catalogue — mapping complex curriculum hierarchies, tracking promotional pricing changes, and aggregating user sentiment across platforms.
Extract the full nested structure of levels, lessons, and activities. Map learning objectives to specific age ranges and subjects.
Capture titles, types, thumbnail URLs, and educational objectives for over 10,000 learning activities across the platform.
Monitor subscription tiers, trial lengths, and promotional discounts across different geographic regions and device types.
Extract metadata for digital books including Lexile measures, page counts, and audio narration availability.
Scrape user reviews from iOS and Android app stores to track sentiment, feature requests, and bug reports over time.
Track how curriculum availability and pricing change based on the IP address and specified market region.
Identify variations in landing page copy, pricing structures, and promotional offers served to different user segments.
Collect publicly available lesson plans, printable worksheets, and classroom integration guides.
Maintain a hash index of the catalogue. Receive only the diffs when new activities are added or pricing changes.
Brief in. Clean data out.
Specify whether you need the full curriculum map, pricing history, or review aggregation. We design the schema.
We configure Playwright spiders to navigate ABCmouse's Single Page Application architecture and handle regional routing.
Schema validation, hierarchy integrity checks, and sample data delivery for your engineering team to review.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
ABCmouse relies on complex client-side rendering and dynamic routing. Here is how we extract structured data reliably.
ABCmouse is a heavily client-side rendered application. We use Playwright to execute JavaScript, wait for network idle states, and capture the hydrated DOM to ensure no activities are missed.
The learning path is deeply nested (Level > Subject > Lesson > Activity). Our crawlers maintain stateful context during traversal to correctly link every activity back to its parent nodes.
Pricing and promotions vary by region. We route requests through specific residential proxy exit nodes to capture accurate localised pricing models and discount codes.
Marketing pages frequently run A/B tests. Our selector chains handle multiple DOM structures simultaneously, normalising the output so your downstream systems always receive consistent schemas.
Aggregating tens of thousands of reviews requires bypassing strict rate limits. We distribute requests across our proxy pool and manage pagination tokens to extract the complete historical corpus.
Early learning platforms map the ABCmouse curriculum to benchmark their own content depth and subject coverage.
Subscription businesses track ABCmouse promotional cadences, trial lengths, and discount depths to inform their own pricing models.
Product managers analyse app store reviews to identify common user friction points and requested features in the early education space.
Curriculum developers identify areas where ABCmouse has low activity density to find whitespace for new educational products.
Investors evaluate the volume of educational content and pricing power of market leaders before funding new EdTech startups.
Growth teams monitor ABCmouse landing page copy and A/B tests to understand effective messaging for parents.
"ABCmouse maps out one of the most comprehensive early learning curricula online — but analysing that structure requires extracting thousands of nested activity nodes."
Most teams underestimate the investment required: reliable ABCmouse scraping requires handling complex SPA state, JavaScript rendering, and nested curriculum hierarchies. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our abcmouse.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 retry logic. Playwright handles JavaScript rendering and interaction flows required for the ABCmouse SPA.
We route requests through ISP proxies to capture regional pricing differences and avoid rate limits on review endpoints.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About abcmouse.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from ABCmouse is generally permissible. DataFlirt targets only public, non-authenticated curriculum structures, marketing pages, and pricing data. We do not extract personal data, child profiles, or circumvent authentication walls.
No. We strictly adhere to privacy regulations including COPPA. We do not scrape authenticated user sessions, child profiles, or any Personally Identifiable Information (PII).
Our spiders are configured to traverse the DOM hierarchically. We maintain parent IDs (Level -> Subject -> Lesson) in memory and append them to the final activity records, ensuring the relational structure is preserved in the output JSON.
Yes. We use geo-targeted residential proxies to simulate traffic from specific countries, allowing us to capture localized pricing tiers, currencies, and regional promotional offers.
For full catalogue extraction, we typically recommend a weekly or monthly cadence as core educational content changes infrequently. Pricing and promotional pages can be monitored daily or hourly.
We extract the metadata (titles, descriptions, thumbnails, learning objectives) for games and videos. We do not download or host the proprietary media files or compiled game binaries.
Yes. We provide a sample run covering a subset of the curriculum (e.g., one specific age level) during the scoping process so you can validate the schema and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum map or continuous tracking of EdTech pricing models — we scope, build, and operate the pipeline. Tell us what you need.
