We extract global flight routes, dynamic pricing signals, layover durations, airline metadata, and baggage policies from Gotogate. 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 Flight Itineraries objects from gotogate.com. All fields typed and schema-versioned.
"departure_airport": "LHR", "arrival_airport": "JFK", "departure_time": "2026-08-14T09:30:00Z", "total_duration": "465", "stops_count": 0, "operating_airline": "British Airways", "flight_number": "BA117", "cabin_class": "Economy"
| # | departure_airport | arrival_airport | departure_time | arrival_time | total_duration | stops_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Fares objects from gotogate.com. All fields typed and schema-versioned.
"total_price": 542.5, "base_fare": 410.0, "taxes_and_fees": 132.5, "currency": "USD", "passenger_type": "Adult", "fare_basis_code": "QNN4OEU", "scraped_at": "2026-05-12T10:15:22Z"
| # | base_fare | taxes_and_fees | total_price | currency | passenger_type | fare_basis_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Baggage & Extras objects from gotogate.com. All fields typed and schema-versioned.
"carry_on_allowed": true, "carry_on_weight_kg": 8, "checked_bag_allowed": false, "extra_bag_fee": 65.0, "meal_included": true, "seat_selection_fee": 25.0
| # | carry_on_allowed | carry_on_weight_kg | checked_bag_allowed | checked_bag_weight_kg | extra_bag_fee | seat_selection_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Layover & Connections objects from gotogate.com. All fields typed and schema-versioned.
"connection_airport": "CDG", "layover_duration_mins": 145, "terminal_change": true, "connection_guarantee": true, "overnight_layover": false, "self_transfer_required": false
| # | connection_airport | layover_duration_mins | terminal_change | connection_guarantee | overnight_layover | visa_required_transit |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Policies & Penalties objects from gotogate.com. All fields typed and schema-versioned.
"cancellation_fee": 150.0, "change_fee": 75.0, "refund_type": "Voucher", "flexible_ticket_upsell": 45.0, "insurance_upsell": 22.5, "no_show_penalty": "Non-refundable"
| # | cancellation_fee | change_fee | refund_type | ticket_validity_days | no_show_penalty | flexible_ticket_upsell |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Gotogate pipeline handles the complexity of global OTA searches: asynchronous XHR loading, dynamic pricing algorithms, multi-city route combinations, and strict anti-bot measures.
Extract origin-destination pairs across domestic and international sectors globally.
Capture base fares, taxes, and total costs timestamped per crawl.
Simulate searches for adults, children, and infants to extract exact group pricing.
Map carry-on and checked baggage allowances with associated weight limits and fees.
Scrape economy, premium economy, business, and first-class ticket options simultaneously.
Extract connection times, terminal changes, and self-transfer warnings.
Capture prices in local currencies alongside USD or EUR equivalents.
Extract matrix pricing for +/- 3 days around the target departure date.
Track pricing for seat selection, flexible ticket guarantees, and travel insurance.
Brief in. Clean data out.
Provide origin-destination pairs, travel dates, and passenger configurations. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and asynchronous request handling for gotogate.com.
Schema validation, null-rate checks, price-outlier detection, and route coverage testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Gotogate employs strict rate limiting and fingerprint analysis to block automated scraping. Here is how we maintain data flow.
Gotogate blocks datacenter IPs instantly. We route requests through residential ISP proxies with full TLS fingerprint spoofing to appear as legitimate regional users searching for flights.
OTA platforms rely on complex session tokens to maintain search context. Our Playwright instances manage cookies and local storage to prevent session drops during paginated extraction.
Flight results load asynchronously via background API calls. We intercept and decode these XHR payloads directly, bypassing DOM parsing overhead and capturing raw JSON pricing data.
Gotogate aggressively caches flight prices. We inject specific cache-busting headers and query parameters to force the upstream providers to return live availability and pricing.
Prices fluctuate based on the IP location. We pin currency and locale preferences in the session state to ensure consistent financial output regardless of the proxy exit node.
Airlines and travel agencies monitor Gotogate pricing to benchmark their own direct-channel fares against OTA aggregators.
Travel search engines ingest route availability and pricing to display comparative options to end consumers.
Travel operators adjust their own package pricing based on real-time flight cost fluctuations observed on Gotogate.
Aviation analysts track flight frequency, operating carriers, and layover patterns to assess route viability and market saturation.
Machine learning teams train predictive pricing models and recommendation engines on historical fare movement datasets.
Enterprise travel managers audit booked fares against public OTA availability to ensure compliance with corporate travel policies.
"Gotogate aggregates inventory from hundreds of airlines globally, creating a highly volatile pricing environment that requires continuous monitoring to map accurately."
Most teams underestimate the investment required: reliable OTA scraping requires residential proxies, full JavaScript rendering, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our gotogate.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 asynchronous XHR interception and cookie sessions. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies globally. Rotation happens per-search with sticky sessions to maintain context. IP score monitoring prevents blockades.
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 gotogate.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and route information is generally permissible. DataFlirt targets only public, non-authenticated flight data. We do not extract personal data or execute fraudulent bookings. Clients should review terms of service and consult legal counsel for their specific use case.
We use residential ISP proxies, full Playwright browser sessions, and TLS fingerprint spoofing. We intercept background XHR requests to bypass DOM rendering traps and monitor for rate-limit responses to trigger automatic proxy rotation.
For defined route sets, we can configure pipelines to run at sub-15-minute intervals. Large-scale global route matrices typically run on a 4-hour or 12-hour cadence depending on volume and target concurrency.
Yes. We map base fares alongside carry-on allowances, checked baggage fees, and seat selection costs to provide true total-cost-of-travel metrics.
Every pipeline run produces timestamped snapshots. We build a time-series database of fare movements for your specific route targets from the day your pipeline is commissioned.
Our minimum engagement starts with a defined list of origin-destination pairs (typically 500-5,000 routes) monitored daily. We price based on search volume, frequency, and required concurrency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need competitive fare benchmarking or global route analysis, we scope, build, and operate the pipeline. Tell us what you need.
