We extract doctor directories, pharmacy catalogues, hyper-local drug pricing, and clinic schedules from Halodoc. 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 halodoc.com. All fields typed and schema-versioned.
"doctor_id": "doc_993812a", "full_name": "Dr. Budi Santoso, Sp.A", "specialty": "Pediatrician", "experience_years": 12, "consultation_fee": 65000.0, "currency": "IDR", "rating": 98.5, "review_count": 1420
| # | doctor_id | full_name | specialty | sub_specialty | experience_years | consultation_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pharmacy & Medicines objects from halodoc.com. All fields typed and schema-versioned.
"sku": "med_449102", "drug_name": "Panadol Extra 10 Kaplet", "category": "Pain Relief", "price": 14500.0, "unit": "Strip", "prescription_required": false, "manufacturer": "GSK", "stock_status": "In Stock"
| # | sku | drug_name | generic_name | category | manufacturer | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hospitals & Clinics objects from halodoc.com. All fields typed and schema-versioned.
"facility_id": "hosp_10293", "name": "Siloam Hospitals Kebon Jeruk", "type": "Hospital", "city": "Jakarta Barat", "coordinate_lat": -6.1912, "coordinate_lng": 106.7621, "facilities": "['24/7 ER', 'ICU', 'Pharmacy']", "contact_number": "+622125677888"
| # | facility_id | name | type | address | city | province |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Lab Tests objects from halodoc.com. All fields typed and schema-versioned.
"test_id": "lab_9921", "test_name": "Complete Blood Count (CBC)", "provider_name": "Prodia", "price": 120000.0, "currency": "IDR", "home_service_available": true, "turnaround_time_hours": 24, "category": "Hematology"
| # | test_id | test_name | provider_name | provider_id | price | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Health Articles objects from halodoc.com. All fields typed and schema-versioned.
"article_id": "art_55102", "title": "Memahami Gejala Demam Berdarah pada Anak", "medical_reviewer": "dr. Rizal Fadli", "publish_date": "2023-11-14T08:00:00Z", "category": "Kesehatan Anak", "read_time_minutes": 4, "tags": "['DBD', 'Demam', 'Anak']", "author": "Halodoc Editorial"
| # | article_id | title | slug | author | medical_reviewer | publish_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Halodoc pipelines handle mobile API interception, geo-coordinate spoofing, and Cloudflare bypass to extract hyper-local pharmacy pricing and real-time doctor schedules.
Extract specialties, experience, STR numbers, hospital affiliations, and consultation fees across all telemedicine categories.
Capture drug names, active ingredients, dosages, side effects, and pricing data across OTC and prescription categories.
Pharmacy prices and stock availability on Halodoc change by location. We spoof regional GPS coordinates to extract hyper-local data.
Extract facility networks, available specialties, addresses, and geocoordinates for competitive density analysis.
Monitor next-available consultation slots and doctor online/offline status to benchmark telemedicine liquidity.
Extract package details, provider networks, home-service availability, and pricing for diagnostic services.
Halodoc is mobile-first. We intercept and structure the undocumented GraphQL/REST endpoints powering the mobile applications.
Extract medically reviewed articles, symptoms, and treatment guidelines for training localized healthcare LLMs.
Run continuous pipelines tracking price fluctuations and schedule changes with hash-based diffing to reduce warehouse load.
Brief in. Clean data out.
Provide categories, city coordinates, or specific SKUs. We design the extraction schema together.
We configure API interceptors, Indonesian proxy rotation, location spoofing, and Cloudflare bypass for halodoc.com.
Schema validation, null-rate checks, price-outlier detection, and sample payloads before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Healthcare platforms deploy aggressive bot protection and geo-fencing. Here is how we maintain reliable data pipelines without rate limits.
Halodoc's richest data lives in its mobile app APIs. We reverse-engineer the mobile endpoint structures, handling authentication tokens and request signing to extract clean JSON directly, bypassing fragile web DOM scraping.
Drug availability and pricing on Halodoc depend entirely on the user's location relative to partner pharmacies. We inject specific latitude/longitude coordinates into API headers to map pricing across different Indonesian cities.
Halodoc uses Cloudflare and rate-limiting heuristics. We route requests through Indonesian ISP residential proxies with Android/iOS TLS fingerprints, preventing IP bans and ensuring high success rates.
Mobile APIs version frequently. Our schema validation layer detects payload structural changes instantly, alerting our engineering team to update extraction logic before it corrupts your downstream warehouse.
For large drug catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs for price updates or stock changes, reducing compute cost and storage bloat.
Pharmaceutical companies and competing pharmacies monitor drug pricing, discount velocity, and stock availability across regions.
Insurance providers map hospital networks, available specialties, and consultation fees to optimise their provider panels.
Competitor healthtech platforms track doctor onboarding rates, specialty distribution, and online availability metrics.
Machine learning teams use the medically reviewed article corpus and drug condition mapping to train localized Indonesian health LLMs.
Supply chain analysts track out-of-stock indicators for specific SKUs across different cities to identify distribution bottlenecks.
Private equity firms track platform liquidity, active doctor counts, and category expansion to evaluate healthtech market leaders.
"Halodoc maps the entire Indonesian healthcare ecosystem from doctor availability to hyper-local pharmacy pricing but extracting it requires bypassing aggressive mobile-first bot protection."
Most teams fail at scraping Indonesian healthtech platforms because they rely on basic web crawlers. Halodoc's data lives in highly protected, geo-fenced mobile APIs. DataFlirt reverse-engineers these endpoints, spoofs regional coordinates, and manages the proxy infrastructure so you get structured healthcare data without the operational headache.
Everything supported by our halodoc.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.
We use mitmproxy and Appium to inspect mobile app traffic, reverse-engineer request signing, and build pipelines that query backend APIs directly rather than scraping web DOMs.
We maintain pools of Indonesian residential ISP proxies. Rotation happens per-request with sticky sessions and mobile TLS fingerprints to bypass Cloudflare bot management.
Pipelines run on AWS Lambda and Kubernetes. 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 halodoc.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable web scraping laws. DataFlirt targets only public, non-authenticated doctor, pharmacy, and clinic data. We do not extract personal patient data (PII), circumvent authentication walls for user records, or violate privacy regulations. Clients should review Halodoc terms of service and consult legal counsel for specific use cases.
Halodoc relies on the user's location to display nearby pharmacies and accurate pricing. We inject specific latitude and longitude coordinates into the API headers and route requests through Indonesian IPs to extract accurate hyper-local data for any specified city or district.
We primarily target the undocumented mobile APIs powering the Halodoc applications. This provides cleaner, more structured JSON data and is more resilient to frontend UI changes than traditional DOM scraping.
Real-time streaming pipelines achieve sub-60-minute latency for price and stock signals on a defined SKU set. Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on scale.
Yes. We can extract the next available consultation slots and online status for doctors across specialties, allowing you to build historical time-series data on telemedicine liquidity.
Yes. We extract the full catalogue including OTC and prescription medications, capturing composition, dosage, manufacturer, and pricing metadata.
Our smallest packages start at a defined extraction scope (e.g., all doctors in Jakarta or a specific list of 10,000 SKUs) with weekly delivery. For full-platform daily tracking, we price based on compute volume and delivery frequency. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off doctor directory dump or a continuous pharmacy price-monitoring feed across Indonesia, we scope, build, and operate the pipeline. Tell us what you need.
