We extract complete course metadata, syllabus structures, batch schedules, pricing tiers, and learner reviews from Edureka. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Course Details objects from edureka.co. All fields typed and schema-versioned.
"course_id": "devops-certification-training", "title": "DevOps Certification Training Course", "category": "Cloud Computing", "duration_weeks": 6, "rating": 4.6, "total_learners": 145020, "certification_name": "Edureka DevOps Certified Professional", "level": "Intermediate"
| # | course_id | title | category | sub_category | duration_weeks | level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Batches objects from edureka.co. All fields typed and schema-versioned.
"course_id": "devops-certification-training", "base_price": 22995.0, "discount_pct": 20, "final_price": 18396.0, "currency": "INR", "batch_start_date": "2026-06-12T08:00:00Z", "batch_type": "Weekend", "seats_left": 4
| # | course_id | base_price | discount_pct | final_price | currency | batch_id |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Syllabus & Modules objects from edureka.co. All fields typed and schema-versioned.
"course_id": "devops-certification-training", "module_number": 2, "module_title": "Version Control with Git", "module_topics": "['Git Lifecycle', 'Branching', 'Merging', 'Rebasing']", "hands_on_projects": "['Create a local repository', 'Resolve merge conflicts']", "duration_hours": 4, "tools_covered": "['Git', 'GitHub']"
| # | course_id | module_number | module_title | module_topics | hands_on_projects | duration_hours |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Alumni objects from edureka.co. All fields typed and schema-versioned.
"review_id": "REV-89214", "course_id": "devops-certification-training", "reviewer_name": "Rahul Sharma", "rating": 5, "review_date": "2026-03-15", "review_text": "Excellent practical sessions on Docker and Kubernetes.", "reviewer_company": "TCS", "reviewer_role": "System Administrator"
| # | review_id | course_id | reviewer_name | rating | review_date | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Master Programs objects from edureka.co. All fields typed and schema-versioned.
"program_id": "cloud-architect-masters-program", "title": "Cloud Architect Masters Program", "included_courses": "['AWS Solutions Architect', 'Azure Administrator', 'GCP Architect']", "total_duration_months": 11, "base_price": 85000.0, "final_price": 68000.0, "currency": "INR", "career_services_included": true
| # | program_id | title | included_courses | total_duration_months | capstone_projects | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Edureka scraper handles single courses, Master programs, and corporate training pages, extracting deep syllabus structures, dynamic batch pricing, and verified reviews.
Title, category, duration, prerequisites, and learner counts across the entire Edureka domain.
Module by module breakdown including topics, hands-on projects, and specific tools covered in each section.
Capture base price, active discount percentages, final price, and currency variations by geographical region.
Extract upcoming weekend and weekday cohorts, start dates, timings, timezones, and remaining seat counts.
Full review text, ratings, date, reviewer role, and current company for verified learners.
Map individual certification courses to parent Master programs, including capstone project details.
Extract exam prerequisites, credential details, and industry alignment for each certification path.
Route requests through regional proxies to capture localized pricing for IN, US, UK, and other markets.
Monitor syllabus updates, new course launches, and pricing adjustments with automated diffing.
Brief in. Clean data out.
Provide target categories, specific course URLs, or request a full site crawl. We design the schema.
We configure crawlers to handle Edureka's dynamic batch loading and regional pricing models.
Schema validation, null-rate checks, and syllabus structure verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Edureka's dynamic batch loading and geographical pricing require specific handling. Here is how we maintain data integrity.
Edureka displays different pricing tiers and currencies based on the visitor's location. We route requests through specific regional residential proxies to accurately map pricing across target markets.
Batch dates and seat availability are loaded dynamically via JavaScript. We use Playwright to execute these scripts, ensuring we capture real-time cohort schedules rather than static HTML placeholders.
Course syllabi contain multiple nested layers: modules, topics, sub-topics, and practical assignments. Our selectors recursively traverse these DOM nodes to output a clean, hierarchical JSON array.
We maintain a hash index of last-seen values per course. Subsequent runs only push diffs, alerting you immediately to curriculum updates or promotional pricing events.
EdTech platforms frequently test new landing page layouts. We monitor field null-rates in real time, pausing and alerting our engineers if a DOM change impacts data completeness.
EdTech platforms monitor Edureka's course catalogue, syllabus depth, and pricing to benchmark their own offerings.
Track discount frequencies, regional pricing variations, and bundle offers to optimise promotional calendars.
Enterprise L&D teams aggregate syllabus data to evaluate course relevance against internal skill matrices.
Analysts track new course launches and learner enrolment counts to identify trending technologies and skill demands.
HR tech platforms map Edureka module topics to job descriptions to build automated skill-matching algorithms.
Instructional designers analyse module structures and hands-on project descriptions to inform their own content creation.
"Edureka maps the exact skills enterprise tech teams are demanding right now — but extracting that syllabus data requires a dedicated pipeline."
Most teams underestimate the investment required: reliable Edureka scraping requires handling dynamic batch schedules, regional pricing variants, and deeply nested syllabus structures. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our edureka.co 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 for dynamic batch dates and pricing components.
We maintain proxy pools across target regions to accurately capture geo-specific pricing and avoid rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About edureka.co scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information, such as course syllabi and public pricing, is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent student login walls. Clients must review Edureka's Terms of Service and consult legal counsel for their specific use cases.
Yes. We configure pipelines to route requests through specific country proxies (e.g., India, US, UK) to capture localized pricing, currency, and regional discount campaigns.
We extract the full hierarchy: module names, sub-topics, hands-on project descriptions, and listed tools/technologies for every section of the course.
Yes. We map the parent Master Program to its constituent individual certification courses, including total duration, combined pricing, and capstone project details.
Batch schedules can be monitored daily or hourly depending on your requirements. Our change-detection system will flag when new cohorts are added or seats fill up.
Yes. We provide a sample extraction of up to 50 courses during the scoping phase so you can validate the schema and syllabus depth before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum dump or a continuous price-monitoring feed across their catalogue, we scope, build, and operate the pipeline. Tell us what you need.
