We extract product listings, sizing inventory, pricing signals, and composition details from Pull&Bear. Delivered as clean JSON, CSV, or Parquet to your data lake 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 Listings objects from pullandbear.com. All fields typed and schema-versioned.
"sku": "04321345", "product_name": "Basic heavy weight hoodie", "category": "Men", "price": 29.99, "currency": "EUR", "colour_name": "Washed Grey", "fabric_composition": "100% cotton", "care_instructions": "Machine wash at max. 30ºC"
| # | sku | product_name | category | sub_category | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Inventory & Sizing objects from pullandbear.com. All fields typed and schema-versioned.
"sku": "04321345", "size_label": "M", "in_stock": true, "low_stock_warning": false, "region": "ES", "stock_timestamp": "2026-05-12T09:14:00Z", "delivery_time": "2-3 working days"
| # | sku | size_label | size_code | in_stock | low_stock_warning | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from pullandbear.com. All fields typed and schema-versioned.
"sku": "04321345", "base_price": 35.99, "discount_price": 29.99, "discount_pct": 16, "promo_name": "Mid Season Sale", "currency": "EUR", "region": "ES", "scrape_date": "2026-05-12T09:14:00Z"
| # | sku | base_price | discount_price | discount_pct | promo_name | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Imagery & Media objects from pullandbear.com. All fields typed and schema-versioned.
"sku": "04321345", "primary_image_url": "https://static.pullandbear.net/2/photos/2023/I/0/2/p/4321/345/800/4321345800_2_1_8.jpg", "model_height": "188 cm", "model_size": "L", "resolution": "1024x1536", "video_url": "None", "asset_timestamp": "2026-05-12T09:14:00Z"
| # | sku | primary_image_url | gallery_image_urls | video_url | model_height | model_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sustainability & Meta objects from pullandbear.com. All fields typed and schema-versioned.
"sku": "04321345", "join_life_flag": true, "eco_materials": "50% recycled cotton", "origin_country": "Portugal", "collection_name": "STWD", "season": "AW23", "gender": "Men"
| # | sku | join_life_flag | eco_materials | origin_country | supplier_id | collection_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper navigates the Inditex SPA architecture, executing JavaScript to extract accurate sizing, regional pricing, and high-resolution media assets without triggering anti-bot blocks.
Extract titles, descriptions, fabric compositions, and care instructions across all categories and collections.
Track in-stock status and low-stock warnings at the individual size level (XS, S, M, L, XL).
Use geolocated proxies to capture market-specific pricing across UK, EU, US, and Asian storefronts.
Capture direct CDN links to primary images, gallery shots, and product videos at maximum resolution.
Monitor base prices, markdown values, percentage discounts, and specific sale events.
Navigate complex JavaScript-rendered navigation menus to map full category hierarchies.
Extract Join Life flags and specific eco-material percentages for ESG compliance monitoring.
Map identical SKUs across different regional sites to compare pricing and availability.
Configure pipelines to only push records when price or inventory status changes, reducing warehouse bloat.
Brief in. Clean data out.
Provide target regions, categories, or specific SKUs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for pullandbear.com.
Schema validation, null-rate checks, and inventory accuracy verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Pull&Bear uses sophisticated frontend rendering and request validation. We handle the complexity.
Pull&Bear is a Single Page Application. Product details and inventory states are hydrated dynamically. We run full Playwright browser sessions to capture data that headless HTTP clients miss entirely.
Inditex routes traffic and alters pricing based on IP location. We use residential proxies mapped to your target regions to ensure you see accurate local pricing and inventory.
Where possible, we intercept the underlying XHR requests feeding the frontend, extracting clean JSON payloads before they are rendered, increasing speed and reliability.
We distribute requests across thousands of IPs and apply human-like delays to avoid triggering WAF rate limits or IP bans during large catalogue sweeps.
Frontend structures change frequently. Our selector strategy uses multiple fallback chains so a layout update does not break your data pipeline.
Fashion retailers track Pull&Bear's pricing strategies, markdowns, and regional variations to optimise their own pricing.
Analysts monitor new SKU introductions, colour distributions, and category expansions to predict seasonal trends.
Supply chain teams track out-of-stock rates at the size level to gauge demand for specific fits and styles.
Computer vision teams use high-resolution garment imagery mapped to metadata to train classification models.
Researchers aggregate fabric composition data and Join Life tags to measure the brand's shift toward eco-materials.
Distributors compare SKU pricing across different European and Asian markets to identify arbitrage opportunities.
"Pull&Bear's catalogue shifts daily. Tracking sizing availability and regional pricing variations requires executing complex client-side code at scale."
Extracting data from Inditex brands involves navigating heavy JavaScript applications and strict rate limits. DataFlirt manages the residential proxies, headless browsers, and schema maintenance required to deliver structured apparel data reliably. You get clean tables, we handle the infrastructure.
Everything supported by our pullandbear.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 and SPA interaction. Combined via custom middleware.
We maintain pools of residential ISP proxies across target regions. Rotation happens per-request to ensure accurate local pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and alerting. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About pullandbear.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We capture inventory status at the size level. If an item is out of stock, we record it, allowing you to track restock cadences and demand signals.
We route requests through residential proxies located in the target country (e.g., Spain, UK, US). This ensures we capture the exact price displayed to local consumers.
Yes. We bypass thumbnail images and extract the direct CDN URLs for the highest resolution assets available in the product gallery.
We support daily full-catalogue sweeps or higher frequency checks (hourly) on targeted SKU lists for inventory monitoring.
Yes. We extract the base price, the discounted price, and calculate the percentage drop. We also capture specific sale event tags.
Our infrastructure monitors schema drift and alert anomalies. We maintain resilient selectors and update the pipeline logic proactively to prevent data loss.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous inventory monitoring — we scope, build, and operate the pipeline. Tell us what you need.
