We extract product listings, tiered volume pricing, MOQ requirements, supplier metrics, and shipping estimates from DHgate. 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 Listings objects from dhgate.com. All fields typed and schema-versioned.
"itemcode": "847291047", "title": "Wholesale 100pcs/lot Tempered Glass Screen Protector", "moq": 100, "unit_type": "piece", "price_min": 0.45, "price_max": 0.65, "currency": "USD", "image_urls": "['https://www.dhresource.com/0x0/f2/albu/g10/M01/8A/2B/rBVaVl...']"
| # | itemcode | title | category_path | moq | unit_type | price_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tiered Pricing objects from dhgate.com. All fields typed and schema-versioned.
"itemcode": "847291047", "tier_1_qty": "100-499", "tier_1_price": 0.65, "tier_2_qty": "500-999", "tier_2_price": 0.55, "tier_3_qty": "1000+", "tier_3_price": 0.45, "currency": "USD", "timestamp": "2026-05-12T09:14:00Z"
| # | itemcode | tier_1_qty | tier_1_price | tier_2_qty | tier_2_price | tier_3_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Supplier Data objects from dhgate.com. All fields typed and schema-versioned.
"supplier_id": "ff808081472a1b", "store_name": "Shenzhen Tech Wholesale", "positive_feedback_pct": 98.4, "transactions": 14291, "established_year": 2018, "top_merchant_badge": true, "response_rate": "99%", "service_score": 4.8
| # | supplier_id | store_name | store_url | positive_feedback_pct | transactions | established_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shipping & Logistics objects from dhgate.com. All fields typed and schema-versioned.
"itemcode": "847291047", "destination_country": "US", "shipping_method": "DHL", "estimated_delivery_days": "3-7", "shipping_cost": 24.5, "currency": "USD", "tracking_available": true, "dispatch_time": "3 business days"
| # | itemcode | destination_country | shipping_method | estimated_delivery_days | shipping_cost | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from dhgate.com. All fields typed and schema-versioned.
"review_id": "r_94827163", "itemcode": "847291047", "buyer_country": "UK", "star_rating": 5, "review_text": "Excellent quality glass, fast shipping via DHL. Will order 1000pcs next.", "review_date": "2026-04-18", "images_included": true, "variant_purchased": "iPhone 14 Pro Max"
| # | review_id | itemcode | buyer_country | star_rating | review_text | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our DHgate scraper navigates complex B2B storefronts, normalises tiered pricing structures, and circumvents anti-bot layers to deliver clean, warehouse-ready wholesale data.
Capture exact unit costs across all bulk order tiers, including promotional discounts and VIP pricing levels.
Extract Minimum Order Quantity requirements per variant to accurately model procurement costs.
Aggregate store transaction volume, positive feedback percentages, response rates, and establishment dates.
Render pages with specific destination countries to extract accurate freight costs, couriers, and dispatch times.
Map complex matrix variations (colour, size, specification) to their specific price points and stock levels.
Extract review text, star ratings, and buyer origin countries to assess product quality and supplier reliability.
Monitor time-limited wholesale discounts, store coupons, and platform-wide promotional events.
Scrape full category trees to map industrial, MRO, and consumer goods catalogues systematically.
Run continuous pipelines to detect price changes, stockouts, or new supplier entrants without full re-crawls.
Brief in. Clean data out.
Provide DHgate category URLs, keyword sets, or specific supplier store links. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for dhgate.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B marketplaces deploy aggressive anti-scraping measures to protect supplier data. Here is how we maintain reliable extraction.
DHgate uses advanced WAFs and bot detection that block standard data centre IPs. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Shipping costs and final prices on DHgate change dynamically based on the selected destination country. We run full Playwright browser sessions to trigger these JavaScript calculations and extract the correct localised data.
Suppliers list items in various base currencies. Our pipeline captures the native currency and the platform's USD conversion, ensuring your downstream analytics receive normalised, comparable pricing data.
DHgate allows suppliers to customise their storefronts, leading to inconsistent DOM structures. Our selector strategy uses fallback chains and regex pattern matching to ensure data extraction remains stable across different store templates.
For large wholesale catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
eCommerce operators sync DHgate pricing, stock levels, and shipping times to their Shopify stores to automate dropshipping margins.
Procurement teams monitor wholesale pricing tiers and MOQs across multiple suppliers to negotiate better bulk purchasing contracts.
Importers aggregate supplier transaction history, dispute rates, and buyer reviews to filter out unreliable vendors before placing large orders.
Wholesalers and distributors track competitor pricing on DHgate to adjust their own B2B pricing strategies and maintain market share.
Logistics firms and analysts track shipping methods, dispatch times, and freight costs to model global supply chain efficiency.
Brands monitor DHgate listings for trademark infringements, replica goods, and unauthorised wholesale distribution of their products.
"DHgate contains critical pricing signals for global dropshipping and B2B procurement — but extracting tiered pricing across millions of SKUs requires infrastructure, not scripts."
Most teams underestimate the investment required: reliable DHgate scraping requires residential proxies, full JavaScript rendering for localised shipping costs, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our dhgate.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. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 dhgate.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from DHgate is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, supplier, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review DHgate's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for CAPTCHA rate spikes in real time and trigger solver queues automatically.
Yes. We configure the crawlers to set the destination country and currency preferences prior to extraction, ensuring that the freight costs, couriers, and dispatch times reflect your exact target market.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on a defined SKU set. Full category refreshes at daily cadence complete within a 6-12 hour window depending on size.
Yes. Our schema captures the minimum order quantity and the complete array of volume discount tiers, including the specific unit price for each quantity bracket.
Our smallest packages start at a defined supplier or category list with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 listings or 50 search result pages as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off supplier catalogue dump or a continuous wholesale price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
