We extract footwear listings, sizing availability, colourways, carbon footprint metrics, and customer reviews from Allbirds. 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 Product Metadata objects from allbirds.com. All fields typed and schema-versioned.
"product_id": "mens-wool-runners", "name": "Men's Wool Runners", "category": "Shoes", "material_type": "ZQ Merino Wool", "carbon_footprint_kg": 7.1, "price": 110.0, "currency": "USD", "url": "https://www.allbirds.com/products/mens-wool-runners"
| # | product_id | name | category | collection | material_type | carbon_footprint_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Sizing objects from allbirds.com. All fields typed and schema-versioned.
"sku": "M-WR-NAT-BLK-09", "product_id": "mens-wool-runners", "size": "9", "colour_name": "Natural Black", "colour_hex": "#222222", "stock_status": "in_stock", "is_limited_edition": false
| # | sku | product_id | size | colour_name | colour_hex | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from allbirds.com. All fields typed and schema-versioned.
"review_id": "rev_849201", "product_id": "mens-wool-runners", "rating": 5, "title": "Most comfortable shoes", "body": "I wear these every day to work. Great support.", "fit_feedback": "True to size", "comfort_feedback": "Very comfortable", "date": "2023-10-14"
| # | review_id | product_id | rating | title | body | fit_feedback |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Store Locations objects from allbirds.com. All fields typed and schema-versioned.
"store_id": "loc_nyc_soho", "name": "Allbirds Soho", "city": "New York", "state": "NY", "country": "US", "latitude": 40.7233, "longitude": -74.0003, "opening_hours": "Mon-Sat: 10am-7pm, Sun: 11am-6pm"
| # | store_id | name | address | city | state | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Sustainability Data objects from allbirds.com. All fields typed and schema-versioned.
"product_id": "mens-tree-dashers", "upper_material": "FSC-certified eucalyptus tree fiber", "sole_material": "SweetFoam sugarcane", "lace_material": "Recycled polyester", "offset_project": "Wind Energy", "recycled_content_pct": 35
| # | product_id | upper_material | sole_material | lace_material | packaging_type | offset_project |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles the headless Shopify architecture, intercepting GraphQL endpoints to deliver clean product metadata, sizing matrices, and sustainability metrics.
Capture exact kg CO2e metrics and offset project details published for every footwear and apparel item.
Extract specific details on ZQ Merino Wool, Tree, Sugar, and Trino materials per product.
Monitor stock levels across all sizes and colourways to detect stockouts and restock patterns.
Aggregate customer sizing recommendations and fit metrics from the review corpus.
Extract star ratings, text, and specific comfort parameters from verified buyers.
Scrape retail locations, addresses, and operating hours globally.
Track pricing and currency variations across US, UK, EU, and AU storefronts.
Detect drops and availability of seasonal or limited edition colourways.
Run pipelines at hourly or daily cadences to maintain fresh inventory datasets.
Brief in. Clean data out.
Provide category URLs or target regions. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to interact with the Allbirds headless architecture.
Schema validation, null-rate checks, and sample data review before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Modern ecommerce sites rely on dynamic data loading. Here is how we extract data reliably.
Allbirds uses a headless Shopify setup. Instead of parsing HTML, we intercept and query the underlying GraphQL endpoints to extract clean, structured product data directly from the source.
Stock states load via asynchronous requests. We execute full Playwright sessions to capture true availability rather than relying on cached HTML.
Regional pricing requires strict residential proxy routing. We route requests through localized IP pools to capture accurate pricing for the US, UK, and EU markets.
We monitor the GraphQL schema for changes. When Allbirds updates their data structure, our fallback chains and alerting systems ensure your pipeline adapts without dropping records.
Every run emits structured logs to our observability stack. We monitor for null-rate spikes and schema drift, responding before you notice.
Track pricing, material claims, and carbon footprint metrics against other sustainable footwear brands.
Monitor stockouts and restock cycles for popular sizes to understand demand patterns.
Analyze carbon footprint metrics across the entire product catalogue for ESG reporting.
Process customer reviews to identify fit issues or material durability concerns.
Map existing physical store locations to plan competing retail footprints.
Feed sustainable fashion metadata and product descriptions into recommendation engines.
"Allbirds publishes highly structured sustainability and material data, but extracting it at scale requires intercepting their headless commerce APIs."
Most teams underestimate the investment required. Reliable Allbirds scraping requires handling GraphQL endpoints, regional proxy routing for localized pricing, and dynamic inventory hydration. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our allbirds.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 manages JavaScript execution and API interception for headless commerce architectures.
We maintain pools of residential ISP proxies across multiple regions to ensure accurate localization and prevent rate limiting.
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 allbirds.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and sustainability data. We do not extract personal data or circumvent authentication walls.
We route requests through localized residential IP pools to capture accurate pricing and currency data for specific markets like the US, UK, and EU.
Yes. We capture the specific kg CO2e metrics and associated offset project details published on the product pages.
Pipelines can be configured to run at hourly cadences to provide highly accurate stock availability across sizes and colourways.
Yes. We monitor product listings for limited edition flags and capture new colourways as soon as they are published to the site.
We scope engagements based on delivery frequency and data volume. Contact us with your specific requirements for a custom quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue extract or continuous inventory monitoring, we scope, build, and operate the pipeline. Tell us what you need.
