We extract bootcamp catalogues, university partnership details, pricing tiers, and alumni reviews from Simplilearn. 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 Course Catalog objects from simplilearn.com. All fields typed and schema-versioned.
"course_id": "SL-PGP-DS-01", "title": "Post Graduate Program in Data Science", "category": "Data Science & Business Analytics", "university_partner": "Purdue University", "duration_months": 11, "format": "Online Bootcamp", "price_inr": 225000.0, "rating": 4.5, "review_count": 12450
| # | course_id | title | category | sub_category | university_partner | duration_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Syllabus & Modules objects from simplilearn.com. All fields typed and schema-versioned.
"course_id": "SL-PGP-DS-01", "module_number": 3, "module_title": "Machine Learning", "duration_hours": 40, "topics_covered": "['Supervised Learning', 'Unsupervised Learning', 'Ensemble Techniques']", "tools_covered": "['Python', 'Scikit-Learn']", "hands_on_projects": 4
| # | course_id | module_number | module_title | duration_hours | topics_covered | hands_on_projects |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Cohorts objects from simplilearn.com. All fields typed and schema-versioned.
"course_id": "SL-PGP-DS-01", "cohort_date": "2024-08-15", "enrollment_status": "Open", "price_standard": 250000.0, "price_discounted": 225000.0, "emi_options": true, "currency": "INR", "scholarship_available": true
| # | course_id | cohort_date | enrollment_status | price_standard | price_discounted | emi_options |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Instructor Profiles objects from simplilearn.com. All fields typed and schema-versioned.
"instructor_id": "INST-8492", "name": "Dr. Ronald Jones", "title": "Data Scientist", "company": "IBM", "courses_taught": "['Machine Learning', 'Deep Learning']", "rating": 4.8, "student_count": 15400
| # | instructor_id | name | title | company | bio | courses_taught |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Alumni Reviews objects from simplilearn.com. All fields typed and schema-versioned.
"review_id": "REV-99321", "course_id": "SL-PGP-DS-01", "student_name": "Priya Sharma", "current_role": "Data Analyst", "current_company": "Capgemini", "star_rating": 5, "date_posted": "2024-02-10", "verified_alumni": true
| # | review_id | course_id | student_name | current_role | current_company | star_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Simplilearn scraper handles every layer of the platform including bootcamp catalogues, dynamic regional pricing, syllabus structures, and alumni review data.
Title, category, duration, difficulty, and university partnership details mapped across the entire Simplilearn catalogue.
Capture standard pricing, discounted rates, EMI options, and currency data based on target geographic regions.
Extract module titles, topic lists, project counts, and tool coverage to map exact learning outcomes.
Track co-branded programs with Purdue, Caltech, UMass Amherst, and IBM.
Instructor names, corporate affiliations, biographies, and student ratings across all active courses.
Full review text, star ratings, current job roles, and verified alumni status paginated across course pages.
Track upcoming batch dates, enrollment status, and application deadlines for live online classes.
Extract corporate training tracks, skill matrices, and B2B learning paths.
Parse the exact software tools and technical skills listed in course prerequisites and outcomes.
Use regional proxies to capture pricing variations across US, UK, India, and APAC markets.
Brief in. Clean data out.
Provide category URLs, specific course IDs, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, Playwright sessions, and proxy rotation for simplilearn.com.
Schema validation, null-rate checks, and pricing standardisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed cadence.
Simplilearn relies on modern React frameworks and geo-fenced pricing. Here is how we ensure reliable data extraction.
Simplilearn displays different pricing, currencies, and EMI options based on the visitor location. We route requests through region-specific residential proxies to capture accurate pricing for your target markets.
Course syllabi and review sections are often loaded asynchronously. We use Playwright to execute JavaScript, trigger lazy loading, and capture the complete DOM state before extraction.
EdTech platforms frequently test different landing page layouts. Our selector strategies use multiple fallback chains and structured JSON-LD data to ensure extraction succeeds regardless of the active UI variant.
Alumni reviews are paginated and sometimes hidden behind interaction walls. Our crawlers simulate user clicks to load the entire review corpus for comprehensive sentiment analysis.
We hash the syllabus and pricing fields per course. Subsequent pipeline runs only emit records when a new module is added or pricing changes, reducing your downstream processing load.
Bootcamp providers track Simplilearn course launches, university partnerships, and curriculum updates to maintain competitive parity.
Strategy teams monitor regional pricing, discount frequencies, and EMI structures to optimise their own course pricing models.
Instructional designers analyse module structures and tool coverage to identify gaps in their own training programs.
Enterprise learning teams aggregate course catalogues to build internal skill matrices and evaluate vendor capabilities.
Talent acquisition teams identify high-rated instructors and subject matter experts for recruitment opportunities.
Investors and analysts track review velocity and new cohort creation to gauge demand for specific technology skills.
"Simplilearn's catalogue maps the exact skills enterprise tech demands today, but extracting this taxonomy requires navigating complex React applications and geo-fenced pricing models."
Extracting course metadata and pricing from Simplilearn requires handling heavy JavaScript payloads, A/B tested landing pages, and regional pricing rules. DataFlirt manages the residential proxies and Playwright sessions required to standardise this data for your warehouse.
Everything supported by our simplilearn.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 and interaction flows required for React-based course pages.
We maintain pools of residential ISP proxies to capture accurate regional pricing and bypass basic rate limiting.
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 simplilearn.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Simplilearn is generally permissible. DataFlirt targets only public course catalogues, pricing, and reviews. We do not extract personal student data or circumvent authentication walls.
We configure our proxy infrastructure to route requests through specific geographic regions. This allows us to capture accurate local pricing, currencies, and EMI options for your target markets.
Yes. We parse the nested accordion structures on the course pages to extract module titles, duration, covered topics, and specific software tools mentioned in the curriculum.
We can configure pipelines to run daily or weekly depending on your requirements. Pricing and cohort availability changes are detected and delivered on your specified cadence.
Yes. We capture the complete text, star rating, reviewer job role, and verified status across all paginated review sections for a given course.
No. We only extract data available on the public storefront. We do not bypass authentication to access LMS content, videos, or private cohort discussions.
Our packages typically start at a defined category list or full catalogue extraction with weekly delivery. Contact us with your specific requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off curriculum dump or continuous pricing updates across the entire catalogue, we build and operate the pipeline. Tell us what you need.
