We extract luggage specifications, colour variants, limited editions, pricing, and reviews from awaytravel.com. Delivered as structured JSON, CSV, or Parquet to your warehouse 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 Luggage Products objects from awaytravel.com. All fields typed and schema-versioned.
"product_id": "AWY-LUG-CARRYON", "name": "The Carry-On", "category": "Suitcases", "base_price": 275.0, "currency": "USD", "dimensions_cm": "55.1 x 34.8 x 22.9", "weight_kg": 3.2, "capacity_litres": 39.8
| # | product_id | name | category | base_price | currency | dimensions_cm |
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Complete list of extractable fields for Colour Variants objects from awaytravel.com. All fields typed and schema-versioned.
"parent_id": "AWY-LUG-CARRYON", "variant_id": "VAR-CO-NAVY", "colour_name": "Navy", "hex_code": "#1A2433", "finish_type": "Matte", "price": 275.0, "in_stock": true
| # | parent_id | variant_id | colour_name | hex_code | finish_type | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Customer Reviews objects from awaytravel.com. All fields typed and schema-versioned.
"review_id": "REV-849102", "product_id": "AWY-LUG-CARRYON", "star_rating": 5, "review_title": "Perfect for short trips", "review_date": "2023-10-14", "verified_buyer": true, "helpful_votes": 12
| # | review_id | product_id | author_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Accessories objects from awaytravel.com. All fields typed and schema-versioned.
"accessory_id": "AWY-ACC-PACK", "name": "The Insider Packing Cubes", "category": "Organization", "price": 45.0, "material": "Water-resistant nylon", "in_stock": true
| # | accessory_id | name | category | price | dimensions | material |
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Complete list of extractable fields for Bundles objects from awaytravel.com. All fields typed and schema-versioned.
"bundle_id": "BND-WEEKENDER", "name": "The Weekender Set", "items_included": "['The Carry-On', 'The Everywhere Zip Backpack']", "original_price": 470.0, "bundle_price": 445.0, "discount_pct": 5, "in_stock": true
| # | bundle_id | name | items_included | original_price | bundle_price | discount_pct |
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Our Awaytravel scraper captures the entire product matrix, navigating Next.js frontend state to extract hard-to-reach variant data, limited edition inventory, and bundle pricing.
Extract all suitcases, bags, and accessories with complete metadata including dimensions, weight, capacity, and materials.
Map parent products to every colour and finish variant, capturing unique SKUs, hex codes, and variant-specific pricing.
Monitor limited edition colour drops and seasonal collections, tracking availability windows and stock depletion.
Extract the full corpus of customer reviews, star ratings, verified buyer badges, and helpful vote counts.
Capture dynamic bundle pricing, calculating the exact discount percentage against individual item list prices.
Parse detailed technical specifications including TSA lock details, wheel types, interior compression systems, and shell materials.
Track in-stock, out-of-stock, and pre-order statuses across all individual variants to model supply chain health.
Extract pricing rules and character limits for monogramming and luggage tag personalisation options.
Run continuous pipelines with change-detection diffing to only ingest updated pricing or new product launches.
Brief in. Clean data out.
Specify product categories, regional storefronts, or specific metadata fields. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, handling Next.js application state extraction and proxy rotation.
Schema validation, variant mapping checks, and null-rate monitoring before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Awaytravel uses a modern JavaScript-heavy frontend. Here is how we extract structured data reliably without brittle DOM parsing.
Instead of relying on fragile CSS selectors that break during frontend redesigns, we intercept and parse the raw JSON application state hydrated by the Next.js framework, ensuring perfect data fidelity.
Pricing often changes based on colour finish or personalisation options. Our Playwright sessions simulate variant selection to capture accurate pricing for every possible SKU combination.
We utilise residential ISP proxies to route requests, mimicking legitimate consumer traffic and bypassing automated scraping protections employed by modern D2C platforms.
Our extraction logic maps internal product IDs to public SKUs, maintaining stable references even if the marketing display names change over time.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Luggage brands monitor Awaytravel's pricing tiers, dimensions, and material choices to position their own product lines.
Analysts track product catalogue expansion from core suitcases into apparel and accessories to map D2C growth strategies.
Retailers analyse bundle discounts and limited edition premiums to optimise their own promotional pricing models.
Design teams track the introduction and retirement of specific colourways to identify consumer aesthetic preferences.
Firms monitor out-of-stock states across variants to estimate inventory turnover and supply chain constraints.
R&D teams mine customer reviews to identify common complaints regarding wheel durability or zipper quality for competitive advantage.
"Awaytravel represents the benchmark for modern D2C luggage. Extracting their catalogue requires mapping complex variant matrices and limited edition drops."
Scraping a modern headless commerce frontend demands full JavaScript execution and state hydration. We handle the React application state extraction, proxy rotation, and continuous schema maintenance. DataFlirt delivers clean luggage specifications so your analysts can focus on market positioning rather than scraping.
Everything supported by our awaytravel.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 deduplication. Playwright handles JavaScript rendering, Next.js state hydration, and variant interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per request to ensure uninterrupted access to catalogue endpoints.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About awaytravel.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue and pricing information is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated product and review data. We do not extract personal user data or circumvent authentication walls.
We intercept the JSON application state hydrated by the Next.js framework during page load. This provides cleaner, more structured data than attempting to parse the rendered DOM elements.
Yes. We map the entire variant matrix for each product, including seasonal and limited edition releases, tracking their pricing and inventory status over time.
Pipelines can be configured to run daily or at custom intervals. The data reflects the inventory state at the exact timestamp of the crawl execution.
Yes. We extract predefined sets and bundles, mapping the included items and calculating the effective discount against individual list prices.
Our packages start with full catalogue extraction on a weekly schedule. For custom schema requirements or higher frequency runs, we price based on compute volume.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous competitor monitoring, we scope, build, and operate the pipeline. Tell us what you need.
