SYSTEM all green source careers360.com queue 12,943 pages p99 latency 185ms dataflirt.com · scraper/careers360-com
RUN - 114 active pipelines - careers360.com live

Careers360 data,
normalised for analysis.

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.

Colleges extracted
41,208 /run
Course records
312,941 /run
Reviews processed
1.4M /total
Active pipelines
114
Uptime
99.98%
Data Dictionary

Every field we extract from careers360.com

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_idnamelocationownershipestablished_yearcampus_sizefaculty_countstudent_enrollmentaccreditationranking_careers360website_urldescription
college_profiles
● 200 OK
"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_idnamelocationownershipestablished_yearcampus_size
1
2
3

Complete list of extractable fields for Courses & Fees objects from careers360.com. All fields typed and schema-versioned.

course_idcollege_idcourse_namedegree_typedurationtotal_feesseats_availableeligibility_criteriaentrance_examstudy_modesyllabus_url
courses_& fees
● 200 OK
"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_idcollege_idcourse_namedegree_typedurationtotal_fees
1
2
3

Complete list of extractable fields for Cut-offs & Admissions objects from careers360.com. All fields typed and schema-versioned.

exam_namecollege_idcourse_namecategoryround_numberopening_rankclosing_rankyearquotacounseling_body
cut-offs_& admissions
● 200 OK
"exam_name": "JEE Advanced",
"course_name": "B.Tech Computer Science",
"category": "General",
"round_number": 6,
"opening_rank": 2,
"closing_rank": 61,
"year": 2025
# exam_namecollege_idcourse_namecategoryround_numberopening_rank
1
2
3

Complete list of extractable fields for Student Reviews objects from careers360.com. All fields typed and schema-versioned.

review_idcollege_idreviewer_namerating_overallrating_placementrating_facultyrating_infrastructurereview_titlereview_textdate_postedupvotes
student_reviews
● 200 OK
"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_idcollege_idreviewer_namerating_overallrating_placementrating_faculty
1
2
3

Complete list of extractable fields for Q&A Forums objects from careers360.com. All fields typed and schema-versioned.

question_idquestion_titlequestion_bodytagsasked_bydate_askedanswer_counttop_answer_texttop_answer_authortop_answer_dateviews
q&a_forums
● 200 OK
"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_idquestion_titlequestion_bodytagsasked_bydate_asked
1
2
3

Capabilities

Extract education data with precision

Our Careers360 scraper handles complex table structures, dynamic cut-off widgets, and paginated review sections to deliver clean, relational datasets.

Full College Directory

Extract metadata for engineering, medical, MBA, and law colleges including ownership, establishment year, and accreditation.

Course & Fee Schedules

Capture degree types, tuition fees, seat matrices, and study modes across thousands of programmes.

Historical Cut-off Data

Track opening and closing ranks for JEE, NEET, CAT, and state exams across multiple years and counseling rounds.

Placement Statistics

Extract highest package, average package, placement percentages, and top recruiters per institute.

Student Review Mining

Capture granular ratings for faculty, infrastructure, and placements along with full review text.

Q&A Forum Extraction

Scrape student queries and expert responses for sentiment analysis and trend forecasting.

Careers360 Rankings

Track institutional rankings across multiple categories, domains, and publication years.

Faculty & Infrastructure

Capture faculty count, campus size, library facilities, and hostel availability metrics.

Scheduled Updates

Run one-off bulk exports or configure continuous pipelines to track cut-offs during active admission seasons.

Exam Information

Extract syllabus details, important dates, and eligibility criteria for national and state-level competitive exams.

// engagement pipeline

From target list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide college lists, exam categories, or state filters. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy crawlers, proxy rotation, and session management for careers360.com.

Validation & QA
d 4–6

Schema validation, null-rate checks, and data normalisation before full launch.

Delivery
ongoing

JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on agreed cadence.

Under the hood

How our Careers360 pipeline handles the hard parts

Education portals use aggressive caching and bot protection during admission seasons. Here is how we maintain extraction stability.

pipeline-monitor · careers360.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Bypass Cloudflare and rate limits

We use residential Indian IPs and TLS fingerprinting to bypass anti-bot challenges and rate limits, ensuring uninterrupted extraction even during peak admission seasons.

Dynamic content rendering
Execute Playwright sessions

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.

Schema normalisation
Standardise unstructured text

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.

Admission season scaling
Auto-scale infrastructure

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.

Pagination handling
Traverse deep review threads

We implement recursive pagination logic to extract thousands of student reviews and Q&A threads per college without dropping records or triggering infinite loops.

Applications

Who uses Careers360 data

Teams across industries use careers360.com data to build competitive products and smarter operations.

01
EdTech Market Research

Analyse course demand, fee trends, and seat availability across different states and degrees.

02
Student Counseling Platforms

Integrate historical cut-off data and college rankings into proprietary college predictor tools.

03
Lead Generation

Identify trending courses and target prospective students based on Q&A forum activity.

04
Sentiment Analysis

Process student reviews to evaluate faculty quality and placement records for institutional benchmarking.

05
Competitive Intelligence

Universities monitor competitor fee structures, infrastructure upgrades, and placement statistics.

06
Academic Research

Researchers analyse higher education accessibility, privatisation trends, and regional disparities.

Why DataFlirt

"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.

Technical Spec

Careers360 scraper - technical capabilities

Everything supported by our careers360.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Playwright sessions for dynamic cut-off tables and rank predictors
Supported
CAPTCHA bypass
Automated CapSolver integration for Cloudflare challenges
Supported
Residential proxy rotation
ISP-grade Indian IPs to bypass regional blocks and rate limits
Supported
Historical cut-off extraction
Multi-year rank data for JEE, NEET, CAT, and state exams
Supported
Review pagination
Full extraction of all student reviews and Q&A threads
Supported
Schema normalisation
Standardised fee and course duration formats across colleges
Supported
Change detection
Only emit records with updated fees or rankings since last run
Supported
College Predictor results
Requires authenticated user profile and specific exam scores
Partial
Premium counseling webinars
Gated behind paid subscription and user login
Partial
Infrastructure

Infrastructure powering the extraction

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering for dynamic cut-off tables and fee calculators.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies in India. Rotation happens per-request to bypass Cloudflare and strict rate limiting.

Cloud-Native Orchestration

Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and auto-scales concurrency during peak admission seasons.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested arrays
CSV
Flat file with typed columns
Parquet
Columnar format for data warehouses
AWS S3
Direct bucket delivery
Webhook
HTTP POST per record
API
REST endpoints for on-demand queries
XLS
Excel compatible format for business teams
PostgreSQL
Direct database upserts
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About careers360.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Careers360 legal?

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.

Can you extract historical cut-off data?

Yes, we extract opening and closing ranks across multiple years, categories, and counseling rounds for major exams like JEE, NEET, and CAT.

How do you handle unstructured fee data?

Our pipeline uses regex and rule-based parsing to normalise tuition, hostel, and one-time fees into structured numeric fields.

Do you scrape student reviews?

Yes, we extract full review text, category ratings (faculty, infrastructure, placement), and upvote counts for sentiment analysis.

Can you bypass Cloudflare protection?

We use residential Indian proxies and TLS fingerprinting to bypass anti-bot challenges effectively without IP bans.

How fresh is the data during admission season?

We configure daily or hourly pipelines for specific exams to capture real-time cut-off updates as counseling rounds progress.

Do you support other education portals?

Yes, we also build data pipelines for Shiksha, Collegedunia, and official state counseling websites.

$ dataflirt scope --new-project --source=careers360.com ready

Tell us what
to extract.
We do the rest.

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.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
Related Scrapers

More in education and courses

Services

Data Extraction for Every Industry

View All Services →