We extract curriculum structures, lesson metadata, pricing tiers, and public testimonials from Reading Eggs. 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 Structure objects from readingeggs.com. All fields typed and schema-versioned.
"program_name": "Reading Eggs Junior", "age_group": "2-4 years", "lesson_id": "REJ-042", "lesson_title": "Alphabet Sounds: Letter A", "skills_covered": "['Phonemic awareness', 'Letter recognition']", "media_type": "Interactive Video", "duration_minutes": 15, "prerequisites": "[]"
| # | program_name | age_group | lesson_id | lesson_title | skills_covered | media_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Plans objects from readingeggs.com. All fields typed and schema-versioned.
"region": "US", "currency": "USD", "plan_name": "Annual Subscription", "billing_cycle": "Yearly", "price": 69.99, "family_discount": true, "trial_period": "30 days", "includes_mathseeds": true
| # | region | currency | plan_name | billing_cycle | price | family_discount |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Testimonials objects from readingeggs.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "author": "Sarah M.", "child_age": 5, "rating": 5.0, "review_text": "My son learned to read in weeks using Fast Phonics.", "date_posted": "2025-11-12", "source_platform": "readingeggs.com", "helpful_votes": 14
| # | review_id | author | child_age | rating | review_text | date_posted |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for School Programs objects from readingeggs.com. All fields typed and schema-versioned.
"program_type": "Whole School Subscription", "grade_level": "K-6", "compliance_standard": "Common Core", "teacher_resources": "['Lesson plans', 'Progress reports', 'Worksheets']", "student_capacity": "Unlimited", "quote_required": true, "case_study_url": "https://readingeggs.com/schools/case-studies/12", "support_level": "Dedicated Account Manager"
| # | program_type | grade_level | compliance_standard | teacher_resources | student_capacity | quote_required |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Fast Phonics Data objects from readingeggs.com. All fields typed and schema-versioned.
"peak_level": "Peak 3", "phoneme_focus": "['s', 'a', 't', 'p']", "decodable_words": "['sat', 'pat', 'tap']", "tricky_words": "['the', 'is']", "video_url": "https://media.readingeggs.com/fp/peak3.mp4", "worksheet_url": "https://assets.readingeggs.com/fp/ws3.pdf", "quiz_count": 2, "passing_score": 80
| # | peak_level | phoneme_focus | decodable_words | tricky_words | video_url | worksheet_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Reading Eggs scraper maps the entire public curriculum, capturing lesson hierarchies, pricing structures across regions, and public testimonials with full JavaScript rendering.
Extract hierarchical data across Reading Eggs Junior, Reading Eggs, Reading Eggspress, Mathseeds, and Fast Phonics.
Map lessons, maps, peaks, and quizzes into structured relationships with prerequisites and skill tags.
Capture subscription tiers, trial lengths, and family discounts across US, UK, AU, and global locales.
Extract parent reviews, ratings, child age demographics, and qualitative feedback from public pages.
Scrape enterprise offerings, compliance standards, and teacher resource metadata for B2B analysis.
Download metadata for whitepapers, efficacy reports, and school case studies published on the platform.
Execute full Playwright sessions to render React-based SPA content and dynamic curriculum widgets.
Use residential IPs to bypass regional redirects and capture accurate local pricing and curriculum variants.
Run one-off bulk exports or configure continuous pipelines at monthly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target programs, regional locales, or review pages. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for readingeggs.com.
Schema validation, null-rate checks, and sample curriculum hierarchies before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Educational platforms use heavily nested SPAs and regional gating. Here is how we stay resilient and why teams choose managed infrastructure over DIY.
Educational platforms block data centre IPs to prevent scraping. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Reading Eggs uses modern JavaScript frameworks for its interactive curriculum pages. We run full Playwright browser sessions with JavaScript execution to capture data that headless HTTP clients miss entirely.
Curriculum hierarchies are deeply nested. Our selector strategy uses multiple fallback chains per field to ensure that a layout change does not break your data pipeline overnight.
Reading Eggs redirects users based on IP. We route requests through specific regional proxies (US, UK, AU) to capture accurate local pricing, trial offers, and region-specific curriculum standards.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice.
EdTech companies monitor curriculum structures, lesson counts, and feature sets to benchmark their own offerings.
Pricing teams track subscription tiers, family discounts, and trial periods across different global markets.
Educational researchers map phonics and math skill progressions against standard compliance benchmarks.
Product teams analyse public parent reviews and testimonials to identify feature requests and pain points.
Investors track platform growth indicators, new program launches, and regional expansions.
B2B sales teams monitor school program offerings and compliance standards to refine their own institutional pitches.
"Reading Eggs maps early childhood literacy into structured data, but extracting that curriculum hierarchy requires a purpose-built pipeline."
Most teams underestimate the investment required: reliable EdTech scraping requires residential proxies, full JavaScript rendering for SPA frameworks, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our readingeggs.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 for complex SPAs.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request to capture accurate localized pricing and 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 readingeggs.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from readingeggs.com is generally permissible under applicable law. DataFlirt targets only public, non-authenticated curriculum, pricing, and review data. We do not extract personal student data or circumvent authentication walls.
We use geo-targeted residential proxies to access the site from specific regions (e.g., US, UK, Australia). This ensures we capture the exact pricing, currency, and trial offers presented to users in those locations.
We extract data across the entire public suite, including Reading Eggs Junior, Reading Eggs, Reading Eggspress, Mathseeds, and Fast Phonics.
Curriculum and pricing pipelines typically run on a weekly or monthly cadence, as this data changes infrequently. Delivery completes within a few hours of the scheduled run.
Our smallest packages start at a defined set of curriculum maps or pricing regions with monthly delivery. Contact us with your use case for a scoped quote.
No. We only extract publicly available curriculum structures, pricing, and public testimonials. We do not process personal identifiable information (PII) or authenticated student records.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum dump or continuous pricing monitoring across regions, we scope, build, and operate the pipeline. Tell us what you need.
