We extract doctor profiles, clinic details, consultation fees, patient reviews, and medicine availability from Practo. 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 Doctor Profiles objects from practo.com. All fields typed and schema-versioned.
"doctor_id": "DOC-89214", "name": "Dr. Rajesh Kumar", "speciality": "Cardiologist", "qualifications": "MBBS, MD - Cardiology", "years_experience": 14, "consultation_fee": 800.0, "patient_recommendation_pct": 94, "languages_spoken": "['English', 'Hindi', 'Kannada']"
| # | doctor_id | name | speciality | qualifications | years_experience | registration_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Clinic & Hospital Data objects from practo.com. All fields typed and schema-versioned.
"clinic_id": "CLN-4412", "name": "Apollo Spectra Hospitals", "city": "Bengaluru", "locality": "Koramangala", "latitude": 12.9279, "longitude": 77.6271, "rating": 4.6, "amenities": "['Parking', 'Pharmacy', 'Wheelchair Accessible']"
| # | clinic_id | name | address | city | locality | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Patient Reviews objects from practo.com. All fields typed and schema-versioned.
"review_id": "REV-99210", "doctor_id": "DOC-89214", "verified_visit": true, "visit_reason": "Chest Pain", "wait_time_rating": "Less than 15 mins", "recommend_doctor": true, "review_text": "Very patient and explained the ECG results clearly.", "review_date": "2026-03-14"
| # | review_id | doctor_id | clinic_id | patient_name | verified_visit | visit_reason |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Consultation Slots objects from practo.com. All fields typed and schema-versioned.
"doctor_id": "DOC-89214", "clinic_id": "CLN-4412", "date": "2026-05-20", "session_type": "Morning", "available_slots": 4, "booking_fee": 800.0, "instant_booking_available": true, "slot_timestamps": "['10:00', '10:15', '11:30', '11:45']"
| # | doctor_id | clinic_id | date | session_type | available_slots | total_slots |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Medicine & Pharmacy objects from practo.com. All fields typed and schema-versioned.
"medicine_id": "MED-1102", "name": "Dolo 650mg Tablet", "manufacturer": "Micro Labs Ltd", "salt_composition": "Paracetamol (650mg)", "mrp": 30.9, "selling_price": 26.2, "discount_pct": 15, "prescription_required": false
| # | medicine_id | name | manufacturer | salt_composition | pack_size | mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Practo scraper handles every layer of the platform: doctor directories, clinic mappings, consultation fees, and patient reviews, with location simulation and anti-bot circumvention built in.
Extract specialities, qualifications, years of experience, registration details, and languages spoken across all cities.
Capture addresses, operating hours, amenities, geo-coordinates, and affiliated doctors per hospital or clinic.
Track in-clinic consultation fees, video consult rates, and instant chat pricing across thousands of practitioners.
Extract verified patient feedback, wait time metrics, recommendation percentages, and visit reasons.
Monitor real-time appointment availability by doctor, clinic, and date to understand practitioner load.
Scrape pharmacy listings, MRP, discount structures, salt compositions, and generic alternatives.
Simulate geo-coordinates to extract hyper-local clinic visibility and search rankings by neighbourhood.
Extract data across Bengaluru, Mumbai, Delhi NCR, and tier-2 cities using unified normalisation schemas.
Run one-off bulk exports or configure continuous pipelines with change-detection diffing for fees and slots.
Brief in. Clean data out.
Provide specialities, city lists, or medicine categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for practo.com.
Schema validation, null-rate checks, and location-spoofing verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare aggregators heavily rate-limit scraping to protect their directories. Here is how we stay resilient.
Practo limits high-frequency scraping via IP tracking and browser fingerprinting. Our crawlers use residential ISP proxies with realistic browser headers, randomised request timing, and full cookie session management.
Slot availability and dynamic reviews require JavaScript hydration. We run full Playwright browser sessions to trigger lazy-loads and extract data that headless HTTP clients miss entirely.
Search results vary heavily by user location. We inject specific coordinates and location cookies to capture hyper-local clinic visibility and accurate neighbourhood mapping.
DOM structures change without warning. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and JSON-LD extraction, ensuring pipeline stability.
For large doctor catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Analysts track doctor density by speciality and geography to identify underserved markets and investment opportunities.
Hospitals and clinic chains monitor consultation pricing and video consult fees to optimise their own pricing strategies.
Pharmacy aggregators track drug availability, discount structures, and generic alternatives across regions.
NLP models train on verified patient reviews and wait-time feedback to evaluate clinic performance and patient satisfaction.
Healthtech startups extract provider details to enrich their own directories and validate practitioner credentials.
Medical device and software companies identify top-rated clinics and high-volume practitioners for targeted sales outreach.
"Practo contains the most comprehensive structured dataset of Indian healthcare professionals, but querying it at scale requires bypassing sophisticated rate limits."
Most teams underestimate the investment required: reliable Practo scraping requires residential proxies, full JavaScript rendering for slot availability, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our practo.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, cookie sessions, and interaction flows for dynamic availability slots.
We maintain pools of residential ISP proxies across India regions. Rotation happens per-request with sticky sessions where required to prevent rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About practo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Practo is generally permissible under applicable law in India. DataFlirt targets only public, non-authenticated doctor, clinic, and review data. We do not extract personal patient health records, circumvent authentication walls, or violate privacy laws. Clients should review Practo Terms of Service and consult legal counsel for specific use cases.
We use residential ISP proxies located in India, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for IP blocks in real time and trigger pool rotation automatically.
Yes. We can configure the pipeline to target specific cities, localities, or pin codes by injecting geo-coordinates and location cookies into the crawler sessions.
Availability slots change rapidly. We can configure high-frequency streaming pipelines to poll specific doctor schedules at sub-60-minute latency.
Yes, including full pagination across all review pages. Each review record includes the rating, text, wait time metrics, verified visit flag, and visit reason.
Absolutely. We provide a sample run of up to 500 doctor profiles or 50 clinic pages as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory dump or a continuous fee-monitoring feed across 100K doctors, we scope, build, and operate the pipeline. Tell us what you need.
