We extract factory profiles, product catalogues, MOQs, FOB pricing tiers, and audit reports from Made-in-China. 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 Supplier Profiles objects from made-in-china.com. All fields typed and schema-versioned.
"company_name": "Shenzhen Tech Industrial Co., Ltd.", "member_type": "Diamond Member", "years_on_platform": 12, "business_type": "Manufacturer/Factory", "audited_supplier": true, "audit_agency": "SGS", "country_region": "China", "factory_size": "10,000-30,000 square meters"
| # | company_name | supplier_url | member_type | years_on_platform | business_type | main_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Product Listings objects from made-in-china.com. All fields typed and schema-versioned.
"product_id": "892341029", "product_name": "Industrial CNC Router Machine", "fob_price_min": 4500.0, "fob_price_max": 5200.0, "currency": "USD", "moq": 1, "moq_unit": "Set", "port": "Shenzhen"
| # | product_id | product_name | product_url | category | sub_category | fob_price_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Capacity objects from made-in-china.com. All fields typed and schema-versioned.
"company_name": "Shenzhen Tech Industrial Co., Ltd.", "export_percentage": "71% - 90%", "main_markets": "['North America', 'Western Europe', 'Southeast Asia']", "nearest_port": "Shenzhen, Guangzhou", "annual_export_revenue": "US$10 Million - US$50 Million", "trade_staff_count": "11-20 People", "average_lead_time": 15
| # | company_name | export_percentage | main_markets | nearest_port | import_export_mode | annual_export_revenue |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Production Capacity objects from made-in-china.com. All fields typed and schema-versioned.
"company_name": "Shenzhen Tech Industrial Co., Ltd.", "r_and_d_capacity": "OEM, ODM, Own Brand", "no_of_production_lines": 8, "oem_odm_service": true, "qc_responsibility": "In House", "annual_output_value": "US$50 Million - US$100 Million", "factory_address": "Bao'an District, Shenzhen"
| # | company_name | factory_address | r_and_d_capacity | no_of_production_lines | oem_odm_service | qc_responsibility |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from made-in-china.com. All fields typed and schema-versioned.
"keyword": "cnc router", "position": 4, "product_name": "3 Axis Wood CNC Router", "supplier_name": "Jinan Precision Machinery", "member_tier": "Gold Member", "audited_badge": true, "price_range": "$3,000 - $4,500", "moq": 1
| # | keyword | page_number | position | product_name | supplier_name | member_tier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Made-in-China scraper handles every layer of the platform: supplier profiles, dynamic product catalogues, audit reports, and trade capacity metadata, with JavaScript rendering and anti-bot circumvention built in.
Extract company information, member types (Gold/Diamond), years active, and business types from every supplier page.
Capture FOB prices, MOQ requirements, lead times, payment terms, and highly variable product specification tables.
Extract metadata from SGS or Bureau Veritas audit reports, management certifications, and ISO compliance records.
Scrape export volumes, main markets, production lines, R&D capacity, and factory sizes from hidden tabs.
Track keyword ranking positions, sponsored placements, and category saturation across the platform.
Extract telephone numbers and contact details often obfuscated by JavaScript click events or image generation.
Extract data from localized subdomains (e.g., es.made-in-china.com) to capture regional pricing and descriptions.
Run continuous diffs on FOB price tiers and MOQ requirements to track supplier pricing adjustments.
Configure daily, weekly, or monthly syncs to keep your supplier database updated automatically.
Brief in. Clean data out.
Provide category URLs, keyword sets, or supplier lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and CAPTCHA handling for made-in-china.com.
Schema validation, null-rate checks, and sample profiles before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
B2B directories present unique scraping challenges, from inconsistent factory schemas to aggressive rate limiting. Here is how we maintain pipeline stability.
Made-in-China employs strict rate limiting and IP reputation checks. We route requests through residential proxy pools with randomised delays and realistic TLS fingerprints to prevent blocks.
Critical data like Trade Capacity, Production Capacity, and Factory Tours are loaded dynamically via JavaScript. We use Playwright to execute SPA content and hydrate data before extraction.
Every supplier formats their product specification tables differently. Our extraction logic uses pattern matching and semantic normalisation to map highly variable tables into a consistent JSON schema.
Phone numbers and emails are often hidden behind 'View Contact Details' buttons or rendered as images. We automate the interaction flows and utilize OCR where necessary to extract complete contact records.
For massive product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing storage bloat and downstream processing load.
Procurement teams identify audited factories with specific trade capacities, certifications, and production lines.
Analysts monitor average FOB prices, MOQs, and lead times across product categories to establish pricing baselines.
Freight forwarders, logistics firms, and trade finance companies extract supplier details to build targeted prospect lists.
Brands track rival product launches, pricing tiers, and supplier networks to maintain competitive advantage.
Compliance teams verify factory certifications, ISO compliance, and audit reports to mitigate third-party risk.
ML engineering teams train models on structured factory profiles to automatically match buyer RFQs with suitable suppliers.
"Made-in-China.com holds the blueprint of global manufacturing, but extracting structured factory intelligence requires navigating inconsistent schemas and aggressive anti-bot layers."
Most teams underestimate the complexity of B2B directory scraping. Factory pages feature highly variable specification tables, contact numbers hidden behind JavaScript interactions, and strict rate limits. DataFlirt absorbs that complexity so your procurement and engineering teams can focus on analysis, not pipeline maintenance.
Everything supported by our made-in-china.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 interaction flows for complex supplier pages.
We maintain pools of residential ISP proxies to bypass rate limits and IP reputation checks imposed by B2B directories.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with all state stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About made-in-china.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available supplier and product information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated factory profiles, product catalogues, and audit metadata. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limiting in real time and trigger proxy rotation automatically.
Full category or keyword-based refreshes typically complete within a 12-24 hour window depending on scale. Custom pipelines can be configured for daily or weekly cadences.
Yes. We automate the JavaScript click events required to reveal contact details on supplier profiles, capturing the complete phone number and email where publicly accessible.
We extract the metadata provided on the platform regarding audits, such as the auditing agency (e.g., SGS, Bureau Veritas), certification type, and validation dates. We do not download the raw PDF documents unless specifically scoped.
Our packages start at a defined supplier list or category set with weekly delivery. For larger catalogues or custom schema requirements, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 100 supplier profiles or product listings during the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off supplier directory dump or continuous price-monitoring across 500K products - we scope, build, and operate the pipeline. Tell us what you need.
