We extract supplier profiles, product catalogues, MOQ & pricing tiers, trade assurance status, certifications, and RFQ signals from Alibaba. 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 alibaba.com. All fields typed and schema-versioned.
"product_id": "1600784921034", "title": "Custom Logo Stainless Steel Water Bottle 500ml", "supplier_name": "Zhejiang Hengxin Houseware Co., Ltd.", "unit_price_min": 2.50, "unit_price_max": 4.80, "moq": 500, "moq_unit": "pieces", "trade_assurance": true, "orders_count": 4821, "lead_time_days": 25
| # | product_id | title | category | sub_category | supplier_id | supplier_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Supplier Profiles objects from alibaba.com. All fields typed and schema-versioned.
"supplier_id": "zj_hengxin_hw", "company_name": "Zhejiang Hengxin Houseware Co., Ltd.", "country": "CN", "gold_supplier": true, "gold_supplier_years": 7, "verified_supplier": true, "response_rate": 96, "transaction_level": "$5M+", "employees_count": 320
| # | supplier_id | company_name | country | province | gold_supplier | gold_supplier_years |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing Tiers objects from alibaba.com. All fields typed and schema-versioned.
"product_id": "1600784921034", "tiers": [ { "qty_min": 500, "price": 4.80 }, { "qty_min": 1000, "price": 3.60 }, { "qty_min": 5000, "price": 2.50 } ], "incoterms": "FOB", "sample_available": true, "sample_price": 18.00
| # | product_id | supplier_id | tier_quantity | tier_price | currency | moq |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from alibaba.com. All fields typed and schema-versioned.
"keyword": "stainless steel water bottle custom logo", "position": 1, "product_id": "1600784921034", "trade_assurance": true, "gold_supplier": true, "orders_count": 4821, "moq": 500, "scraped_at": "2026-05-12T07:31:09Z"
| # | keyword | position | product_id | title | supplier_name | supplier_country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Alibaba scraper covers every layer of the B2B platform: product catalogues, MOQ and pricing tiers, supplier verification status, certifications, transaction history, and search rankings.
Company name, country, Gold Supplier years, Verified Supplier status, response rate, transaction level, certifications, factory size, and annual revenue — per supplier.
Extract full pricing tier tables — quantity breaks, per-unit prices, incoterms, payment terms, and sample pricing — timestamped per crawl.
Track Trade Assurance eligibility, Verified Supplier badges, on-site audit reports, and Gold Supplier tier — the trust signals that drive sourcing decisions.
Extract ISO, CE, FDA, RoHS, and other certifications per supplier and product — critical for compliance-sensitive procurement.
Supplier ratings, review count, order count, and transaction level — signals of reliability and sales velocity on the platform.
Monitor product position for any sourcing keyword on Alibaba — with Gold Supplier, Trade Assurance, and sponsored placement capture.
Suppliers across China, India, Bangladesh, Vietnam, Turkey, and 190+ countries — all from a unified schema with normalised pricing in USD.
Capture lead times, shipping options, port of export, and FOB/CIF/DDP terms for procurement planning and logistics modelling.
One-off catalogue exports or continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide product categories, keyword sets, supplier IDs, or country filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for alibaba.com.
Schema validation, MOQ-outlier checks, certification completeness audits, and sample supplier records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Alibaba's dynamic pages, login prompts, and bot-detection layers require specialised infrastructure. Here's how we stay resilient.
Alibaba's fraud detection operates on TLS fingerprints, browser headers, and IP reputation. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management.
Alibaba product pages, supplier profiles, and pricing widgets are JavaScript-rendered. We run full Playwright sessions with JavaScript execution and lazy-load triggering — capturing tiered pricing and certification data that headless clients miss.
Alibaba occasionally prompts login for deeper product details. Our pipeline is tuned to extract the maximum available public data without account dependency, while flagging fields where login would increase coverage.
Alibaba updates its DOM structure regularly. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, text-pattern matching, and structured data — so layout changes don't break your pipeline.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, MOQ outliers, schema drift, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.
Sourcing teams map supplier landscapes by category, country, certification, and Trade Assurance status — accelerating vendor qualification at scale.
Finance and supply chain teams use tiered pricing, lead times, incoterms, and MOQ data to model accurate landed costs for new product categories.
Brands monitor competing products' supplier relationships and pricing tiers to understand competitor cost structures and margin potential.
ML teams use Alibaba product descriptions, category hierarchies, and certification data to train manufacturing classification and supplier matching models.
Companies entering new product categories use Alibaba data to assess manufacturing feasibility, supplier depth, and MOQ economics before committing.
PE firms and analysts use supplier transaction levels, Gold Supplier counts, and category depth to assess manufacturing ecosystem maturity.
"Alibaba is the world's largest B2B marketplace — and its supplier profiles, tiered pricing, and certification data are the richest sourcing intelligence dataset on earth. But none of it is queryable unless you build the pipeline."
Reliable Alibaba scraping requires residential proxies, full JavaScript rendering, login-prompt navigation, CAPTCHA bypass, and careful handling of tiered pricing widgets. DataFlirt absorbs that complexity so your procurement and sourcing teams can focus on the decisions — not the infrastructure.
Everything supported by our alibaba.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, pricing widget interaction, and cookie session management.
We maintain pools of residential ISP proxies across US/UK/DE regions. 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 alibaba.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Alibaba is generally permissible under applicable law — reinforced by the hiQ v. LinkedIn ruling and similar precedents. DataFlirt targets only public, non-authenticated product, supplier, and pricing data. We do not extract personal data, circumvent authentication walls, or violate GDPR. We recommend clients review Alibaba's ToS independently and consult legal counsel for specific use cases.
We use residential ISP proxies that appear as real consumer traffic, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes don't break the pipeline.
Yes. Alibaba's quantity-break pricing tables — including all tier levels, incoterms, payment terms, and sample prices — are fully extracted per product. This is one of the most valuable fields for landed cost modelling and procurement planning.
We capture Gold Supplier status (and years), Verified Supplier badge, Trade Assurance eligibility, on-site audit reports, response rate, response time, and transaction level for every supplier — the full set of signals buyers use to qualify vendors.
Our pipeline is tuned to extract the maximum available public data without account dependency. Where login would increase coverage of specific fields, we flag those in the schema and can discuss authenticated options for specific use cases.
Our smallest packages start at a defined product/category set (typically 1,000–20,000 products) with weekly delivery. For broader supplier mapping, ongoing monitoring, or custom schema requirements, we price based on volume and cadence.
Yes. We support country-of-origin filtering (e.g. CN, IN, BD, VN), certification type (ISO 9001, CE, FDA, etc.), Gold Supplier years, and Trade Assurance status as extraction filters — useful for compliance-constrained procurement workflows.
Absolutely. We provide a sample run of up to 500 products or 100 supplier profiles 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 landscape map or a continuous pricing and certification monitoring feed across 500K products — we scope, build, and operate the pipeline. Tell us what you need.
