We extract schedules, Wanna Get Away fares, Rapid Rewards points pricing, and route availability directly from southwest.com. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Flight Schedules objects from southwest.com. All fields typed and schema-versioned.
"flight_number": "WN 1405", "origin_airport": "DAL", "destination_airport": "HOU", "departure_time": "2026-08-14T08:30:00-05:00", "arrival_time": "2026-08-14T09:35:00-05:00", "duration_minutes": 65, "stops": 0, "aircraft_type": "Boeing 737 MAX 8"
| # | flight_number | origin_airport | destination_airport | departure_time | arrival_time | duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fare Pricing (Cash) objects from southwest.com. All fields typed and schema-versioned.
"flight_number": "WN 1405", "departure_date": "2026-08-14", "wanna_get_away_price": 129.98, "wanna_get_away_plus_price": 159.98, "anytime_price": 219.98, "business_select_price": 249.98, "currency": "USD", "seats_remaining": 4
| # | flight_number | departure_date | wanna_get_away_price | wanna_get_away_plus_price | anytime_price | business_select_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rapid Rewards (Points) objects from southwest.com. All fields typed and schema-versioned.
"flight_number": "WN 1405", "departure_date": "2026-08-14", "points_wanna_get_away": 8450, "points_wanna_get_away_plus": 10500, "points_anytime": 15200, "points_business_select": 18500, "taxes_fees_cash": 5.6, "currency_taxes": "USD"
| # | flight_number | departure_date | points_wanna_get_away | points_wanna_get_away_plus | points_anytime | points_business_select |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Route & Connections objects from southwest.com. All fields typed and schema-versioned.
"route_id": "DAL-MDW-LGA", "origin": "DAL", "destination": "LGA", "connection_airport": "MDW", "connection_duration_minutes": 45, "total_duration_minutes": 285, "overnight_layover": false, "flight_numbers_chain": "['WN 402', 'WN 1892']"
| # | route_id | origin | destination | connection_airport | connection_duration_minutes | total_duration_minutes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Flight Status objects from southwest.com. All fields typed and schema-versioned.
"flight_number": "WN 1405", "scheduled_departure": "2026-08-14T08:30:00-05:00", "estimated_departure": "2026-08-14T08:35:00-05:00", "status": "In Air", "gate_departure": "12", "gate_arrival": "4A", "baggage_claim": "Carousel 2"
| # | flight_number | scheduled_departure | estimated_departure | scheduled_arrival | estimated_arrival | status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Southwest scraper handles the entire search flow: dynamic pricing, multi-city routing, Rapid Rewards points mapping, and Akamai bot mitigation bypass. You receive normalised fare data ready for analysis.
Capture pricing across Wanna Get Away, Wanna Get Away Plus, Anytime, and Business Select tiers for every flight searched.
Extract points requirements alongside cash fares to calculate real-time conversion ratios and loyalty program valuations.
Map O&D pairs, connection airports, layover durations, and aircraft types for complete schedule visibility.
Southwest uses aggressive Akamai edge protection. We manage residential proxies and TLS fingerprinting to maintain access.
Capture 'X seats left' warnings to monitor load factors and predict upcoming dynamic pricing shifts.
Extract dynamic add-on pricing for EarlyBird Check-In based on route distance and demand.
Run recurring searches on key routes to monitor intraday fare adjustments and yield management strategies.
Track equipment types assigned to specific flights to monitor capacity changes and MAX 8/9 deployments.
Maintain a hash index of previous fares and only push records when prices or availability states change.
Brief in. Clean data out.
Provide origin-destination pairs, date ranges, and frequency requirements. We design the extraction schema together.
We configure Playwright crawlers, XHR interception, proxy rotation, and session management for southwest.com.
Schema validation, null-rate checks, and fare outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Airlines invest heavily in scraping detection to protect their pricing data. Here is how we maintain reliable access to southwest.com without triggering blocks.
Southwest uses Akamai Bot Manager to block automated traffic. Our crawlers use US-based residential ISP proxies with realistic TLS fingerprints, randomised request timing, and full cookie session management to mimic legitimate human behaviour.
Southwest.com relies heavily on React and asynchronous API calls. Instead of parsing fragile HTML, our Playwright instances intercept the underlying JSON payloads, extracting clean fare and schedule data directly from the network layer.
Flight searches require maintaining state across multiple steps. We manage session tokens, cookies, and search identifiers across the entire flow, preventing timeouts and invalid request errors.
Airline search endpoints can take several seconds to resolve. We use asynchronous queueing with exponential backoff and intelligent timeout handling to ensure complete data capture without blocking the pipeline.
For large route networks, we maintain a hash index of last-seen values per flight. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Competing airlines monitor Southwest's dynamic pricing and fare sales to optimise their own yield management and route pricing.
Because Southwest restricts its inventory from standard GDS networks, travel aggregators use direct extraction to display Southwest options to users.
Data teams track route frequencies, capacity changes, and pricing trends to forecast travel demand and economic indicators.
Travel management companies verify corporate discounts and track actual booked fares against public Wanna Get Away pricing.
Airport authorities and competing carriers analyse Southwest's network growth, connection hubs, and frequency adjustments.
Financial analysts track the cash-to-points ratio for Rapid Rewards to evaluate the liability and revenue impact of the loyalty program.
"Southwest Airlines restricts its inventory from standard GDS networks. The only way to access their pricing and schedule data at scale is through direct extraction."
Extracting data from southwest.com requires bypassing aggressive Akamai bot protection, managing complex search session tokens, and handling high-latency responses. DataFlirt manages this infrastructure so your analytics teams receive clean fare data without maintaining fragile web scrapers.
Everything supported by our southwest.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.
Southwest relies on complex React applications. We use Playwright to execute the JavaScript and intercept the underlying API responses, bypassing fragile DOM parsing.
We maintain pools of US-based residential ISP proxies. Rotation happens per-session to maintain state while avoiding IP reputation blocks.
Pipelines run on AWS ECS for sustained search loads. Airflow handles scheduling, route queue generation, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About southwest.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available flight schedules and pricing is generally permissible under applicable law, reinforced by the hiQ v. LinkedIn ruling. DataFlirt targets only public, non-authenticated route and fare data. We do not extract personal data or circumvent authentication walls. Clients should review Southwest's ToS and consult legal counsel for specific use cases.
We use US-based residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. This prevents the high block rates common with basic HTTP clients.
Yes. We extract the points requirements for all fare tiers alongside the cash prices, allowing you to calculate real-time conversion ratios and track loyalty program inflation.
Yes. Every search extracts pricing for Wanna Get Away, Wanna Get Away Plus, Anytime, and Business Select tiers simultaneously.
Real-time streaming pipelines can achieve sub-60-minute latency for specific route monitoring. Full network refreshes depend on the number of origin-destination pairs and date ranges required.
Yes. We can extract the dynamic add-on pricing for EarlyBird Check-In during the booking flow simulation.
Southwest restricts its inventory from standard Global Distribution Systems (GDS) like Amadeus or Sabre. Direct extraction from southwest.com is the only reliable method to access their complete schedule and pricing data at scale.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off schedule dump or a continuous fare-monitoring feed across 10,000 routes, we scope, build, and operate the pipeline. Tell us what you need.
