We extract train, bus, ferry, and flight schedules, pricing signals, operator details, and route availability from 12Go.Asia. 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 Routes & Schedules objects from 12go.asia. All fields typed and schema-versioned.
"route_id": "RT-BKK-CNX-091", "origin_station": "Bangkok Hua Lamphong", "destination_station": "Chiang Mai Railway Station", "departure_time": "2026-11-14T18:10:00Z", "arrival_time": "2026-11-15T07:15:00Z", "duration_minutes": 785, "operator_name": "Thai Railways", "transport_type": "Train"
| # | route_id | origin_station | destination_station | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from 12go.asia. All fields typed and schema-versioned.
"trip_id": "TRP-882194", "price": 1045.5, "currency": "THB", "available_seats": 12, "booking_class": "2nd Class Sleeper AC", "luggage_allowance": "20kg", "meal_included": false, "scraped_at": "2026-10-01T08:12:44Z"
| # | trip_id | route_id | price | currency | available_seats | booking_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Operators objects from 12go.asia. All fields typed and schema-versioned.
"operator_id": "OP-LOMP", "name": "Lomprayah", "transport_modes": "['Ferry', 'Bus']", "average_rating": 4.2, "review_count": 8432, "country_base": "Thailand", "active_routes": 45
| # | operator_id | name | transport_modes | average_rating | review_count | contact_email |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Stations & Terminals objects from 12go.asia. All fields typed and schema-versioned.
"station_id": "ST-BKK-HUA", "name": "Hua Lamphong", "city": "Bangkok", "country": "Thailand", "latitude": 13.7397, "longitude": 100.5167, "timezone": "Asia/Bangkok"
| # | station_id | name | city | country | latitude | longitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from 12go.asia. All fields typed and schema-versioned.
"review_id": "REV-99281", "rating": 5, "comment": "Cabin was clean and air conditioning worked perfectly. Arrived on time.", "travel_date": "2026-09-28", "operator_id": "OP-THAI-RW", "transport_type": "Train", "verified_booking": true
| # | review_id | trip_id | user_name | rating | comment | travel_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 12Go.Asia scraper navigates complex date-range queries, multi-modal transport options, and dynamic AJAX responses to deliver structured schedules and pricing.
Capture departure times, arrival times, durations, and layovers for trains, buses, ferries, and flights across Southeast Asia.
Extract ticket prices, booking classes, and availability metrics across different currencies and operators.
Map complex journeys involving transfers between buses, ferries, and trains with unified schema outputs.
Extract exact coordinates, terminal names, and facility information for departure and arrival points.
Collect passenger feedback, star ratings, and operator performance metrics to gauge service quality.
Detail vehicle classes, luggage allowances, AC availability, and meal inclusions for every ticket type.
Automate searches across forward-looking date ranges to build predictive pricing models and availability calendars.
Extract base prices and converted rates to maintain consistent financial datasets across regional borders.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide origin-destination pairs, operator lists, or date ranges. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for 12go.asia.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel aggregators employ strict rate limits and dynamic rendering. Here is how we maintain reliable extraction.
Travel sites monitor request velocity heavily. Our crawlers use residential ISP proxies from APAC regions with realistic browser fingerprints and randomised request timing to avoid IP bans.
12Go.Asia loads search results dynamically via background API calls. We intercept these XHR responses directly or use Playwright to render the full DOM, ensuring no schedule data is missed.
Extracting availability requires querying specific dates. Our pipeline automates date-math logic, iterating through future calendars to build comprehensive forward-looking pricing datasets.
Aggregator DOMs change frequently. Our selector strategy uses multiple fallback chains per field, so a layout change does not break your data pipeline overnight.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops.
Online travel agencies ingest regional transport schedules to expand their global booking coverage.
Transport operators monitor competitor pricing across specific routes to optimise their own ticket fares.
Logistics and travel planning platforms use timetable data to build complex multi-modal routing algorithms.
Analysts track operator market share, route frequency, and review sentiment to identify underserved transport corridors.
Revenue management teams correlate booking velocity and seat availability with price changes to train machine learning models.
Consumer travel applications display aggregated regional transport options to users without building direct operator API integrations.
"12Go.Asia holds the definitive timetable for Southeast Asian transport, but extracting multi-modal schedules across thousands of regional operators requires dedicated infrastructure."
Most teams underestimate the complexity of regional transport data. Reliable 12Go.Asia extraction requires handling complex date-range queries, multi-currency conversions, and dynamic AJAX responses. DataFlirt manages this pipeline end-to-end, delivering clean, normalised schedules so your engineers can focus on product development.
Everything supported by our 12go.asia 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 and dynamic search interactions.
We maintain pools of residential ISP proxies across APAC regions. Rotation happens per-request to prevent rate limiting.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About 12go.asia scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available schedule, pricing, and operator information is generally permissible. DataFlirt targets only public data and does not extract personal user information or bypass authenticated payment gateways. Clients should review terms of service and consult legal counsel for specific use cases.
12Go.Asia relies heavily on AJAX to load schedules. Our pipeline either intercepts the underlying XHR requests directly or uses Playwright to render the DOM and execute JavaScript, ensuring complete data capture.
Yes. We configure pipelines to poll specific origin-destination pairs across a rolling window of future dates (e.g., next 30, 60, or 90 days) to track seat availability and price fluctuations.
Pipeline frequency is configurable. We support daily bulk refreshes for broad market analysis or hourly polling for high-priority routes where pricing is highly dynamic.
Yes. The pipeline captures schedules for trains, buses, ferries, flights, and private minivans, mapping them to a normalised schema regardless of the transport type.
Yes. We provide a sample run for specific routes as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off route catalogue dump or a continuous schedule feed across Southeast Asia — we scope, build, and operate the pipeline. Tell us what you need.
