We extract unlocked smartphone inventories, global pricing, detailed hardware specifications, and stock signals from Expansys. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Product Listings objects from expansys.com. All fields typed and schema-versioned.
"sku": "EXP-123", "title": "Samsung Galaxy S24 Ultra 5G", "brand": "Samsung", "category": "Smartphones", "condition": "New", "unlocked_status": true, "price": 1199.99, "currency": "USD"
| # | sku | title | brand | category | condition | unlocked_status |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Specifications objects from expansys.com. All fields typed and schema-versioned.
"sku": "EXP-123", "processor": "Snapdragon 8 Gen 3", "ram_gb": 12, "storage_gb": 512, "display_size_inches": 6.8, "display_type": "AMOLED", "battery_mah": 5000, "os": "Android 14"
| # | sku | processor | ram_gb | storage_gb | display_size_inches | display_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from expansys.com. All fields typed and schema-versioned.
"sku": "EXP-123", "price": 1199.99, "msrp": 1299.99, "discount_pct": 7, "in_stock": true, "stock_level": "Low", "ships_in_days": 2, "warranty_type": "1 Year Seller", "region": "US"
| # | sku | price | msrp | discount_pct | in_stock | stock_level |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from expansys.com. All fields typed and schema-versioned.
"review_id": "REV-992", "sku": "EXP-123", "rating": 5, "author": "TechGeek", "date": "2023-10-12", "title": "Great global model", "body": "Works perfectly on my network.", "helpful_votes": 14, "verified_buyer": true
| # | review_id | sku | rating | author | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Categories objects from expansys.com. All fields typed and schema-versioned.
"category_id": "CAT-44", "url": "/smartphones", "category_name": "Smartphones", "parent_category": "Electronics", "product_count": 1452, "top_brands": "['Samsung', 'Apple', 'Sony']", "min_price": 150.0, "max_price": 1800.0
| # | category_id | url | category_name | parent_category | product_count | top_brands |
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Our Expansys scraper handles regional storefront redirects, dynamic pricing widgets, and unstructured hardware specifications to deliver clean electronics data.
Extract smartphones, tablets, cameras, and audio gear with precise category mapping across the entire site.
Capture network compatibility, dual SIM status, and regional model numbers for precise product matching.
Track prices across different Expansys regional domains with automatic currency normalisation.
Convert unstructured technical specification tables into structured, queryable JSON fields.
Monitor low stock warnings, shipping delays, and pre order status in real time.
Distinguish between brand new, open box, and refurbished stock conditions on every listing.
Pull user feedback, star ratings, and verified purchase flags across all product pages.
Extract estimated delivery windows and import duty notices displayed on product pages.
Run daily or hourly extractions to catch price drops and inventory restocks instantly.
Brief in. Clean data out.
Provide target categories or specific brands. We map the required data fields.
We configure Scrapy and Playwright to handle Expansys regional redirects and pagination.
We test specification parsing accuracy and verify stock status logic before production.
Structured data pushed to your S3 bucket, BigQuery dataset, or Snowflake warehouse.
Electronics retailers aggressively protect their pricing data. Here is how we bypass their mitigation systems.
Expansys automatically routes traffic based on IP location. We use targeted residential proxies to lock pipelines to specific regional storefronts.
Inventory levels often load via asynchronous JavaScript requests. Our Playwright nodes execute these scripts to capture accurate stock data.
Electronics specifications vary wildly between brands. We deploy custom parsing logic to normalise RAM, storage, and processor fields into standard formats.
Prices frequently update dynamically based on user session data. We isolate the base currency values directly from the underlying API responses.
High frequency scraping triggers network challenges. Our infrastructure uses CapSolver and residential IP rotation to maintain continuous extraction.
Retailers monitor Expansys to track parallel import pricing and adjust their own margins accordingly.
Analysts aggregate hardware specifications and price points to identify trends in smartphone storage and RAM configurations.
Competing stores monitor stock levels for high demand global models to optimise their own procurement.
Businesses track the price delta between new and refurbished devices across different electronics categories.
Data science teams use normalised specification datasets to train product matching and classification models.
Brands track how their products are priced and distributed across different international Expansys storefronts.
"Expansys holds a unique dataset of unlocked global electronics and grey market pricing. Extracting normalised hardware specifications requires purpose built infrastructure."
Consumer electronics retailers use aggressive bot mitigation to protect pricing data. Extracting accurate global stock levels and hardware specifications from Expansys requires residential IP rotation, JavaScript execution, and strict schema validation. DataFlirt handles the extraction layer so your team can focus on market analysis.
Everything supported by our expansys.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 orchestrates the crawl while Playwright handles JavaScript execution for dynamic stock and pricing widgets.
We route requests through country specific residential IPs to bypass regional redirects and capture accurate local pricing.
Pipelines run on AWS Lambda and ECS with Airflow managing schedules, retries, and data delivery workflows.
Data delivered to where your team already works — no new tooling required.
About expansys.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public product listings, specifications, and prices is generally permissible. We do not extract authenticated user data or bypass login walls.
Yes. We use targeted residential proxies to access specific country versions of Expansys, ensuring you get accurate local pricing and stock data.
Electronics specifications vary by manufacturer. We write custom parsing logic to normalise key attributes like RAM, storage, and processor into structured fields.
We capture the exact stock status displayed on the product page, including pre order windows, low stock warnings, and estimated shipping days.
For targeted lists of high priority SKUs, we can configure pipelines to run hourly. Full catalogue extractions typically run on a daily cadence.
We begin tracking price histories from the moment your pipeline is activated, allowing you to build time series datasets for specific products.
We build custom pipelines starting at a defined list of categories or brands. Contact us to scope your specific data requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily catalogue sync or real time stock alerts for high demand electronics, we build and manage the entire extraction process. Tell us what you need.
