We extract train schedules, ticket pricing, availability, and live disruption data from Avanti West Coast. 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 Journey Schedules objects from avanti.co.uk. All fields typed and schema-versioned.
"journey_id": "EUS-MAN-20261012-0820", "origin_station": "London Euston", "destination_station": "Manchester Piccadilly", "departure_time": "2026-10-12T08:20:00Z", "arrival_time": "2026-10-12T10:26:00Z", "duration_minutes": 126, "changes_count": 0, "operator_name": "Avanti West Coast"
| # | journey_id | origin_station | destination_station | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ticket Pricing objects from avanti.co.uk. All fields typed and schema-versioned.
"journey_id": "EUS-MAN-20261012-0820", "ticket_type": "Advance Single", "price": 42.5, "currency": "GBP", "railcard_applied": "None", "flexibility": "Fixed train only", "travel_class": "Standard", "scraped_at": "2026-05-12T09:14:00Z"
| # | journey_id | ticket_type | price | currency | railcard_applied | flexibility |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Live Status objects from avanti.co.uk. All fields typed and schema-versioned.
"train_uid": "W34912", "origin": "London Euston", "destination": "Glasgow Central", "scheduled_departure": "2026-10-12T09:30:00Z", "expected_departure": "2026-10-12T09:42:00Z", "status": "Delayed", "delay_minutes": 12, "platform": "14"
| # | train_uid | origin | destination | scheduled_departure | expected_departure | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Station Info objects from avanti.co.uk. All fields typed and schema-versioned.
"station_code": "EUS", "station_name": "London Euston", "accessibility_rating": "Step-free access", "parking_spaces": 217, "cycle_storage": true, "location_lat": 51.5284, "location_lon": -0.1331
| # | station_code | station_name | facilities | ticket_office_hours | accessibility_rating | parking_spaces |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route Stops objects from avanti.co.uk. All fields typed and schema-versioned.
"train_uid": "W34912", "stop_sequence": 3, "station_code": "CRE", "arrival_time": "2026-10-12T11:05:00Z", "departure_time": "2026-10-12T11:08:00Z", "status": "On time", "distance_miles": 158.2
| # | train_uid | stop_sequence | station_code | arrival_time | departure_time | platform |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Avanti scraper handles every layer of the booking engine: origin-destination pairs, dynamic pricing tiers, railcard combinations, and live running times with anti-bot circumvention built in.
Extract complete daily timetables, including origin, destination, duration, and connection nodes for all West Coast Main Line services.
Capture Advance, Off-Peak, and Anytime fares across Standard, Standard Premium, and First Class tiers as they fluctuate before departure.
Iterate searches applying 16-25, Two Together, Senior, and Network railcards to map exact discount structures.
Pull real-time running statuses, expected arrival times, platform allocations, and cancellation notices directly from the live feed.
Gather facility information, opening hours, accessibility details, and parking availability for all managed stations.
Monitor service alterations, engineering works, and delay compensation triggers with high-frequency polling.
Track when specific ticket tiers sell out or when Standard Premium upgrades become unavailable.
Parse complex itineraries involving other operators when booked through the Avanti engine.
Run continuous pipelines at minute-level cadences for live status or daily sweeps for advance pricing curves.
Brief in. Clean data out.
Provide origin-destination pairs, travel dates, and required ticket types. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and rate-limit handling for avanti.co.uk.
Schema validation, null-rate checks, price-outlier detection, and sample journeys before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Ticketing engines employ strict session controls and rate limits. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Avanti's booking engine assigns unique session tokens and CSRF headers for every search flow. Our crawlers maintain isolated cookie jars and execute token refresh logic to prevent mid-search timeouts and 403 Forbidden errors.
High-frequency queries to the pricing API trigger strict IP bans. We distribute requests across a pool of UK residential proxies, pacing query velocity to mimic legitimate user search behaviour.
The internal API returns deeply nested JSON representing journey legs, ticket types, and fulfilment options. We normalise this nested graph into flat, queryable relational tables or clean document structures.
For live status monitoring, polling too slowly misses updates, while polling too fast triggers blocks. We optimise request intervals based on the scheduled departure time, increasing frequency only when the train is active.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing ticket tiers, schema drift, and coverage drops - and respond before you notice.
Other transport operators and coach services monitor Avanti's Advance ticket pricing to adjust their own yield management algorithms.
Multimodal travel platforms ingest schedule and pricing data to offer door-to-door journey planning across the UK.
Consumer rights platforms track live train statuses against scheduled times to automate delay compensation claims for passengers.
Enterprise travel managers analyse historical pricing curves to determine the optimal booking window for corporate rail travel.
Sustainability platforms map rail journeys and distances to calculate emissions savings compared to domestic flights or driving.
Consultancies analyse timetable density and disruption frequency to inform regional transport policy and investment models.
"Avanti West Coast holds the definitive pricing and schedule data for the West Coast Main Line, but querying it at scale requires managing complex session states and rate limits."
Most teams underestimate the investment required: reliable Avanti scraping requires UK residential proxies, strict session token management, CSRF handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our avanti.co.uk 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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 avanti.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available schedule and pricing information is generally permissible under UK law. DataFlirt targets only public, non-authenticated timetable and fare data. We do not extract personal passenger data, circumvent authentication walls, or violate GDPR. Clients should review Avanti's ToS and consult legal counsel for specific use cases.
We maintain isolated cookie jars for each search thread and execute token refresh logic automatically. If a session expires or returns a 403, the pipeline automatically requests a new CSRF token and resumes the search flow without dropping data.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per route for Advance ticket prices, allowing you to map the exact yield management curve leading up to departure.
Yes. While this pipeline is optimised for Avanti, we build similar extractors for LNER, GWR, CrossCountry, and National Rail Enquiries, normalising the output into a single unified schema.
For live status monitoring, we can configure polling intervals down to 60 seconds for specific high-priority train UIDs, ensuring you receive disruption alerts almost immediately.
Our smallest packages start at a defined route list (typically 100-500 origin-destination pairs) with daily pricing sweeps. For full network monitoring or high-frequency live data, we price based on compute volume and delivery frequency.
Absolutely. We provide a sample run of up to 50 routes for 3 future travel dates as part of the pre-engagement scoping process - so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sweep of Advance ticket prices or a continuous feed of live departure boards - we scope, build, and operate the pipeline. Tell us what you need.
