We extract university profiles, entrance exam cut-offs, fee structures, faculty details, and alumni reviews from Careers360. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for College Profiles objects from careers360.com. All fields typed and schema-versioned.
"college_id": "COL-8921", "name": "Indian Institute of Technology Bombay", "location": "Mumbai, Maharashtra", "ownership": "Public/Government", "established_year": 1958, "accreditation": "AICTE, UGC", "ranking_careers360": 3
| # | college_id | name | location | ownership | established_year | campus_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Courses & Fees objects from careers360.com. All fields typed and schema-versioned.
"course_id": "CRS-4412", "course_name": "B.Tech Computer Science and Engineering", "degree_type": "UG", "duration": "4 Years", "total_fees": 918000.0, "seats_available": 183, "entrance_exam": "JEE Advanced"
| # | course_id | college_id | course_name | degree_type | duration | total_fees |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Cut-offs & Admissions objects from careers360.com. All fields typed and schema-versioned.
"exam_name": "JEE Advanced", "course_name": "B.Tech Computer Science", "category": "General", "round_number": 6, "opening_rank": 2, "closing_rank": 61, "year": 2025
| # | exam_name | college_id | course_name | category | round_number | opening_rank |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Student Reviews objects from careers360.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "rating_overall": 4.8, "rating_placement": 5.0, "rating_faculty": 4.5, "review_title": "Excellent placements and campus life", "review_text": "The coding culture here is unmatched...", "date_posted": "2025-08-14"
| # | review_id | college_id | reviewer_name | rating_overall | rating_placement | rating_faculty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Q&A Forums objects from careers360.com. All fields typed and schema-versioned.
"question_id": "QA-55123", "question_title": "What is the safe score for NIT Trichy CSE?", "tags": "['JEE Main', 'NIT Trichy', 'Cut-off']", "answer_count": 4, "top_answer_text": "For general category, aim for 99.8+ percentile...", "top_answer_author": "Rahul S.", "views": 1420
| # | question_id | question_title | question_body | tags | asked_by | date_asked |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Careers360 scraper handles complex table structures, dynamic cut-off widgets, and paginated review sections to deliver clean, relational datasets.
Extract metadata for engineering, medical, MBA, and law colleges including ownership, establishment year, and accreditation.
Capture degree types, tuition fees, seat matrices, and study modes across thousands of programmes.
Track opening and closing ranks for JEE, NEET, CAT, and state exams across multiple years and counseling rounds.
Extract highest package, average package, placement percentages, and top recruiters per institute.
Capture granular ratings for faculty, infrastructure, and placements along with full review text.
Scrape student queries and expert responses for sentiment analysis and trend forecasting.
Track institutional rankings across multiple categories, domains, and publication years.
Capture faculty count, campus size, library facilities, and hostel availability metrics.
Run one-off bulk exports or configure continuous pipelines to track cut-offs during active admission seasons.
Extract syllabus details, important dates, and eligibility criteria for national and state-level competitive exams.
Brief in. Clean data out.
Provide college lists, exam categories, or state filters. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for careers360.com.
Schema validation, null-rate checks, and data normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Education portals use aggressive caching and bot protection during admission seasons. Here is how we maintain extraction stability.
We use residential Indian IPs and TLS fingerprinting to bypass anti-bot challenges and rate limits, ensuring uninterrupted extraction even during peak admission seasons.
Careers360 relies heavily on JavaScript for cut-off tables and fee calculators. We run full browser sessions to render the DOM and extract accurate tabular data.
Fee structures and course durations are often unstructured text. We apply regex and rule-based parsing to normalise these into clean numeric fields and standard formats.
Traffic and site latency spike during JEE and NEET result declarations. Our pipelines auto-scale concurrency and adjust timeouts dynamically to handle slow page loads.
We implement recursive pagination logic to extract thousands of student reviews and Q&A threads per college without dropping records or triggering infinite loops.
Analyse course demand, fee trends, and seat availability across different states and degrees.
Integrate historical cut-off data and college rankings into proprietary college predictor tools.
Identify trending courses and target prospective students based on Q&A forum activity.
Process student reviews to evaluate faculty quality and placement records for institutional benchmarking.
Universities monitor competitor fee structures, infrastructure upgrades, and placement statistics.
Researchers analyse higher education accessibility, privatisation trends, and regional disparities.
"Careers360 aggregates the most comprehensive higher education dataset in India, but extracting structured cut-offs across hundreds of exams requires dedicated infrastructure."
Most teams underestimate the complexity of education data. Fee structures are unstructured, cut-off tables use complex dynamic rendering, and bot protection ramps up significantly during admission cycles. DataFlirt manages the proxies, renders the JavaScript, and normalises the schema so your team can focus on building products.
Everything supported by our careers360.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 for dynamic cut-off tables and fee calculators.
We maintain pools of residential ISP proxies in India. Rotation happens per-request to bypass Cloudflare and strict rate limiting.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and auto-scales concurrency during peak admission seasons.
Data delivered to where your team already works — no new tooling required.
About careers360.com scraping, legality, and pipeline operations.
Ask us directly →Extracting public college information, course fees, and cut-offs is generally permissible. We do not extract user PII or bypass authentication walls. Clients should review terms of service and consult legal counsel.
Yes, we extract opening and closing ranks across multiple years, categories, and counseling rounds for major exams like JEE, NEET, and CAT.
Our pipeline uses regex and rule-based parsing to normalise tuition, hostel, and one-time fees into structured numeric fields.
Yes, we extract full review text, category ratings (faculty, infrastructure, placement), and upvote counts for sentiment analysis.
We use residential Indian proxies and TLS fingerprinting to bypass anti-bot challenges effectively without IP bans.
We configure daily or hourly pipelines for specific exams to capture real-time cut-off updates as counseling rounds progress.
Yes, we also build data pipelines for Shiksha, Collegedunia, and official state counseling websites.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete dump of engineering colleges or a continuous feed of entrance exam cut-offs, we build and operate the infrastructure. Tell us your requirements.