We extract Top 20 deals, hotel escapes, vacation packages, and local offers from Travelzoo. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Top 20 Deals objects from travelzoo.com. All fields typed and schema-versioned.
"deal_id": "TZ-98241", "title": "5 Nights in Maldives with Seaplane Transfers", "destination": "Maldives", "price": 1299.0, "currency": "USD", "provider": "Luxury Escapes", "validity_dates": "2024-01-15 to 2024-12-10"
| # | deal_id | title | destination | price | original_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Hotel Escapes objects from travelzoo.com. All fields typed and schema-versioned.
"hotel_name": "The Ritz-Carlton Bali", "location": "Bali, Indonesia", "star_rating": 5.0, "price_per_night": 249.0, "nights": 3, "fully_refundable": true, "member_only": false
| # | hotel_name | location | star_rating | price_per_night | total_price | nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Vacation Packages objects from travelzoo.com. All fields typed and schema-versioned.
"package_id": "VP-44912", "title": "7-Day Golden Triangle Tour", "destination": "India", "departure_cities": "['New York', 'Chicago', 'Los Angeles']", "price": 899.0, "includes_flights": true, "provider": "Indus Travels"
| # | package_id | title | destination | departure_cities | price | nights |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Local Deals objects from travelzoo.com. All fields typed and schema-versioned.
"deal_id": "LD-10293", "merchant_name": "Gordon Ramsay Steak", "category": "Dining", "location": "Las Vegas, NV", "price": 99.0, "discount_pct": 35, "expiry_date": "2024-06-30"
| # | deal_id | merchant_name | category | location | price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Destination Guides objects from travelzoo.com. All fields typed and schema-versioned.
"destination_name": "Kyoto", "region": "Kansai", "country": "Japan", "deal_count": 14, "average_price": 450.0, "best_time_to_visit": "March to May"
| # | destination_name | region | country | deal_count | average_price | top_attractions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Travelzoo scraper handles every layer of the platform: Top 20 lists, dynamic hotel pricing, package inclusions, and local voucher terms. We build circumvention and session management directly into the pipeline.
Extract the weekly Top 20 list with historical tracking. We capture provider details, validity windows, and exact inclusions for every featured offer.
Capture nightly rates, room types, star ratings, and fully refundable flags across all hotel and resort deals.
Parse complex package itineraries including departure cities, flight inclusions, night counts, and third-party provider names.
Extract merchant names, categories, discount percentages, and fine-print voucher terms for dining, spa, and activity deals.
Parse unstructured text to isolate exact validity windows and blackout dates for accurate availability modelling.
Identify deals with fully refundable terms versus strict cancellation policies to assess risk and flexibility.
Map unstructured destination strings into clean country, region, and city fields for downstream aggregation.
Extract both public rates and member-only pricing tiers where visible on the platform.
Run pipelines at daily or weekly cadences with change-detection diffing to track price drops and sold-out statuses.
Brief in. Clean data out.
Provide target categories, regions, or deal types. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for travelzoo.com.
Schema validation, null-rate checks, price-outlier detection, and sample deal checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Travel deals change rapidly and platforms block aggressive scraping. Here is how we stay resilient.
Travel platforms monitor traffic closely to block scrapers. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management trained on real user behaviour.
Travelzoo loads pricing and availability dynamically. We run full Playwright browser sessions with JavaScript execution and lazy-load triggering to capture data that headless HTTP clients miss entirely.
Deal layouts vary by category. Our selector strategy uses multiple fallback chains per field, including CSS selectors, XPath, and text-pattern matching, so a layout change does not break your data pipeline.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops. SLA uptime is contractual.
OTAs and hotel chains track Travelzoo discounts to ensure their direct channels remain competitive.
Tourism boards analyse destination popularity and average package prices to gauge regional demand.
Travel providers monitor which competitors are featured in the Top 20 and what inclusions they offer.
Deal aggregators ingest Travelzoo data to display unified travel offers across multiple sources.
Revenue managers correlate deal velocity and sold-out statuses with broader market demand trends.
Agencies monitor local deal categories to identify new merchants entering the discount space.
"Travelzoo curates the most competitive travel deals on the market. Accessing that data programmatically provides an exact baseline for promotional pricing."
Extracting unstructured deal terms, blackout dates, and dynamic pricing requires more than simple HTTP GET requests. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your data science team can focus on pricing strategy rather than pipeline maintenance.
Everything supported by our travelzoo.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across multiple regions. Rotation happens per-request with sticky sessions where required.
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 travelzoo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available deal information from Travelzoo is generally permissible under applicable law in India, the US, and the UK. DataFlirt targets only public, non-authenticated deal and pricing data. We do not extract personal data or circumvent authentication walls. Clients should review Travelzoo terms of service and consult legal counsel for specific use cases.
Travelzoo often lists blackout dates and inclusions in free-text format. We use custom parsing logic and regex pipelines to normalise these strings into structured date arrays and boolean flags for downstream usability.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record of which deals appear on the Top 20 list each week, tracking price changes and availability.
Full catalogue refreshes at daily cadence complete within a 4-hour window. Real-time streaming pipelines for specific deal categories achieve sub-60-minute latency.
Yes. We can configure the pipeline to target specific geographic regions, extracting dining, spa, and activity deals relevant to your target markets.
Our smallest packages start at a defined category list with weekly delivery. For full-site extraction or real-time monitoring, we price based on 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 weekly Top 20 export or a continuous feed of hotel escapes, we scope, build, and operate the pipeline. Tell us what you need.
