We extract course curricula, institutional metadata, NPTEL statistics, and credit transfer details from Swayam. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Course Metadata objects from swayam.gov.in. All fields typed and schema-versioned.
"course_id": "noc23-cs14", "title": "Introduction to Machine Learning", "category": "Computer Science and Engineering", "national_coordinator": "NPTEL", "institution": "IIT Madras", "enrollment_count": 45210, "status": "Ongoing", "credits": 3
| # | course_id | title | category | national_coordinator | institution | instructor_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Syllabus & Curriculum objects from swayam.gov.in. All fields typed and schema-versioned.
"course_id": "noc23-cs14", "week_number": 1, "module_title": "Linear Regression", "assignment_count": 2, "quiz_available": true, "topic_description": "Gradient descent and cost functions."
| # | course_id | week_number | module_title | video_links | reading_materials | assignment_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Instructor Profiles objects from swayam.gov.in. All fields typed and schema-versioned.
"instructor_id": "inst-849", "name": "Prof. Balaraman Ravindran", "designation": "Professor", "institution": "IIT Madras", "courses_taught": 4, "rating": 4.8
| # | instructor_id | name | designation | institution | bio | profile_image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Institutional Data objects from swayam.gov.in. All fields typed and schema-versioned.
"institution_id": "inst-001", "name": "IIT Madras", "type": "Technical", "state": "Tamil Nadu", "total_courses": 142, "active_enrollments": 320500
| # | institution_id | name | type | state | city | total_courses |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Exam & Certification objects from swayam.gov.in. All fields typed and schema-versioned.
"course_id": "noc23-cs14", "exam_date": "2024-04-28", "exam_fee": 1000, "certification_criteria": "25% assignment + 75% proctored exam", "proctoring_type": "In-person centre", "passing_marks": 40
| # | course_id | exam_date | registration_deadline | exam_fee | certification_criteria | proctoring_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Swayam scraper handles every layer of the platform: course listings, dynamic syllabi, institutional metadata, and exam schedules. We normalise data across all nine national coordinators.
Extract titles, disciplines, start dates, and credit eligibility across all 9 national coordinators.
Standardise schema differences between NPTEL engineering courses and UGC non-technical programmes.
Track student enrollment figures and course status changes to gauge subject demand.
Extract week-by-week lesson plans, video metadata, and reading material references.
Capture professor bios, academic affiliations, and historical course delivery records.
Monitor registration deadlines, exam dates, and proctoring centre requirements.
Parse grading rubrics, assignment weightage, and minimum passing thresholds.
Identify courses eligible for academic bank of credits and university integration.
Detect structural changes in Swayam's portal and adapt extraction logic without downtime.
Brief in. Clean data out.
Select target disciplines, coordinators, or specific institutions for extraction.
We configure Scrapy spiders, handle Swayam's dynamic pagination, and normalise raw HTML.
Schema validation checks ensure all mandatory fields like exam dates and credits are populated.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on a weekly cadence.
Government portals often feature inconsistent schemas and heavy client-side rendering. Here is how we ensure reliable data delivery.
Swayam relies on heavy client-side rendering for course catalogues. We use Playwright to hydrate the DOM before extraction, capturing data that headless HTTP clients miss entirely.
NPTEL, IGNOU, and AICTE courses display metadata differently. Our pipeline maps these distinct formats into a single, unified schema for easy querying.
Course lists use infinite scroll and complex API offsets. We reverse-engineer the underlying network requests for faster, more reliable data retrieval.
Accessing detailed syllabus modules often requires maintaining active session cookies, which our infrastructure handles automatically.
Government portals experience scheduled maintenance. We implement exponential backoff and retry logic during downtime windows to ensure complete data capture.
List government-backed courses alongside private offerings to create comprehensive learning portals.
Universities map Swayam courses to their own curricula for student credit transfer programs.
Analyse enrollment trends to identify high-demand skills and emerging academic disciplines.
HR departments curate free, high-quality technical courses from IITs for employee upskilling.
Identify top academic talent and subject matter experts across Indian institutions.
Build programmatic SEO pages targeting specific academic subjects using structured syllabus data.
"Swayam hosts the largest repository of government-backed academic content in India, but the data is locked behind fragmented interfaces and inconsistent schemas."
Building a reliable pipeline for Swayam requires handling nine different national coordinator formats, dynamic JavaScript rendering, and frequent portal maintenance windows. DataFlirt abstracts this complexity, delivering clean, queryable academic data directly to your warehouse.
Everything supported by our swayam.gov.in 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 orchestration and retry logic. Playwright renders dynamic Swayam course pages and handles session cookies.
Direct API extraction from Swayam's backend endpoints for faster throughput and reliable pagination handling.
Airflow schedules weekly catalogue sweeps, running on AWS ECS. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About swayam.gov.in scraping, legality, and pipeline operations.
Ask us directly →Extracting publicly available course metadata, syllabi, and institutional data is generally permissible. DataFlirt does not scrape gated student data, forum discussions, or personal academic records.
Swayam courses are provided by nine coordinators including NPTEL, UGC, and CEC. We maintain distinct parsing logic for each format and map the output to a single, normalised schema.
Yes. We configure pipelines to monitor the catalogue for status changes, new course additions, and updated registration deadlines.
No. We extract video metadata, titles, and embedded links, but we do not download or host the underlying video files to respect copyright restrictions.
Most clients opt for a weekly or bi-weekly cadence, as academic catalogues do not change as rapidly as eCommerce pricing. We can configure daily runs if required.
Our orchestration layer includes exponential backoff and retry mechanisms to handle scheduled government portal maintenance without failing the pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Get clean, structured academic data delivered straight to your database. We handle the scraping infrastructure so you can focus on building your EdTech platform.
