We extract bulk product listings, tiered pricing, factory verification metrics, and supplier intelligence from 1688. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 1688.com. All fields typed and schema-versioned.
"product_id": "678912345678", "title": "Industrial Grade Stainless Steel Ball Bearing", "category": "Mechanical Parts", "price_min": 1.25, "price_max": 1.8, "currency": "CNY", "moq_minimum": 100, "in_stock": true, "variation_count": 12
| # | product_id | title | category | sub_category | supplier_id | price_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Tiers objects from 1688.com. All fields typed and schema-versioned.
"product_id": "678912345678", "tier_1_moq": 100, "tier_1_price": 1.8, "tier_2_moq": 500, "tier_2_price": 1.5, "tier_3_moq": 1000, "tier_3_price": 1.25, "currency": "CNY", "price_timestamp": "2026-05-12T09:14:00Z"
| # | product_id | tier_1_moq | tier_1_price | tier_2_moq | tier_2_price | tier_3_moq |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Supplier & Factory objects from 1688.com. All fields typed and schema-versioned.
"supplier_id": "sup_987654321", "company_name": "Shenzhen Precision Manufacturing Co.", "business_model": "Manufacturer", "years_active": 8, "super_factory_badge": true, "response_rate_pct": 98.5, "transaction_volume_30d": 450000.0, "location_city": "Shenzhen"
| # | supplier_id | company_name | business_model | location_city | location_province | years_active |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from 1688.com. All fields typed and schema-versioned.
"review_id": "rev_55443322", "product_id": "678912345678", "buyer_tier": "L4", "star_rating": 5, "review_content": "Excellent quality bearings, fast shipping.", "review_date": "2026-04-18", "repeat_buyer": true, "images_attached": 2
| # | review_id | product_id | buyer_tier | star_rating | review_content | review_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from 1688.com. All fields typed and schema-versioned.
"keyword": "stainless steel bearing", "position": 1, "product_id": "678912345678", "price": 1.25, "sales_volume_30d": 12500, "super_factory_flag": true, "cross_border_flag": true, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | page_number | position | product_id | title | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our 1688 scraper parses complex supplier matrices, dynamic MOQ pricing, and rich factory profiles while bypassing Alibaba's strict anti-bot systems.
Capture tiered pricing structures based on Minimum Order Quantities, including promotional discounts and wholesale volume breaks.
Extract Super Factory badges, business models, registered capital, years active, and 30-day transaction volumes for vetting.
Map complex parent-child SKU relationships, including colour, size, material, and specification variants with individual stock levels.
Identify products explicitly flagged for cross-border e-commerce, including package weight, dimensions, and export compliance data.
Track estimated dispatch times, processing windows, and domestic shipping origins to optimise supply chain planning.
Scrape buyer feedback, star ratings, and repeat purchase indicators to assess actual product quality and supplier reliability.
Monitor search visibility, ad placements, and organic rankings for specific industrial keywords across the 1688 ecosystem.
Automated handling of Alibaba's strict slider CAPTCHAs and request signing using localized residential proxies.
Run continuous pipelines that only emit data when prices, stock levels, or supplier metrics change.
Brief in. Clean data out.
Provide product URLs, supplier IDs, or keyword lists. We design the extraction schema together.
We configure Scrapy crawlers, Chinese residential proxy rotation, and slider CAPTCHA solvers for 1688.
Schema validation, null-rate checks, and translation pipeline testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on an agreed cadence.
Alibaba invests heavily in scraping detection. Here is how we maintain uptime and data integrity.
1688 heavily restricts non-Chinese traffic and deploys aggressive slider CAPTCHAs. We route requests through mainland Chinese residential IPs and use specialized solver APIs to clear AliGuard challenges.
Pricing on 1688 is heavily dynamic, changing based on selected variants and quantities. We use Playwright to execute JavaScript, interact with variant selectors, and hydrate the correct pricing tiers.
1688 product pages have massive, complex DOM structures. Our extraction logic uses multiple fallback chains - combining CSS selectors, XPath, and regex on inline JSON payloads - to ensure stability.
Suppliers format specifications inconsistently. We normalise key attributes like weight, dimensions, and materials into strict JSON schemas, making the data queryable immediately.
We monitor for CAPTCHA rate spikes, layout changes, and null-field anomalies. If a pipeline degrades, our on-call engineers intervene before you miss a delivery.
Sourcing teams extract supplier metrics and pricing tiers to identify primary manufacturers and negotiate better terms.
E-commerce platforms correlate 1688 supply data with global demand signals to discover high-margin product opportunities.
Brands track competitor supply chains by identifying matching products, factory sources, and wholesale cost baselines.
Analysts monitor macro trends in manufacturing output, category pricing, and supplier density across Chinese provinces.
Logistics firms use factory location data and dispatch times to optimise freight routes and consolidation hubs.
Machine learning teams use massive bilingual product catalogues to train translation models and visual search classifiers.
"1688.com contains the world's most comprehensive factory and wholesale pricing data, but extracting it requires bypassing aggressive anti-bot systems and complex dynamic rendering."
Most teams underestimate the investment required: reliable 1688 scraping requires localized mainland Chinese proxies, full JavaScript rendering, slider CAPTCHA bypass, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on analysis, not infrastructure.
Everything supported by our 1688.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 localized to mainland China. Rotation happens per-request with sticky sessions where required to prevent AliGuard triggers.
Pipelines run on AWS Lambda and ECS. 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 1688.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible, but cross-border data extraction carries specific compliance requirements. DataFlirt targets only public, non-authenticated product, pricing, and supplier data. We do not extract personal buyer data or circumvent authentication walls. Clients should review platform ToS and consult legal counsel.
We use localized Chinese residential proxies, full Playwright browser sessions, and specialized CAPTCHA solvers designed for Alibaba's slider challenges. We monitor for block rate spikes in real time and trigger pool rotation automatically.
Our standard extraction delivers the raw Chinese text exactly as it appears on the DOM. We can implement automated translation pipelines using external APIs (like DeepL or Google Cloud Translation) as an additional processing step if required.
We can configure pipelines to run daily or weekly depending on your requirements. For highly volatile categories, we can track specific ASIN equivalents at higher frequencies to monitor stock and price changes.
Yes. While this pipeline is specifically tuned for 1688's B2B structure, we operate separate managed pipelines for Taobao, Tmall, and AliExpress. We can unify data from multiple Alibaba properties into a single schema.
Our smallest packages start at a defined list of 5,000 product URLs or 100 search keywords with weekly delivery. For larger catalogues, we price based on volume, rendering complexity, and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off category export or a continuous supplier-monitoring feed across 1M products - we scope, build, and operate the pipeline. Tell us what you need.
