We extract manufacturer profiles, fabric specifications, yarn pricing, and trade leads from Chinatexnet. 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 Manufacturer Profiles objects from chinatexnet.com. All fields typed and schema-versioned.
"company_name": "Zhejiang Shaoxing Textile Co., Ltd.", "business_type": "Manufacturer, Trading Company", "location": "Shaoxing, Zhejiang", "main_products": "Polyester Fabric, Cotton Yarn", "employee_count": "101-500", "certifications": "ISO9001, Oeko-Tex Standard 100", "contact_person": "Wei Chen"
| # | company_name | business_type | registered_capital | establishment_year | location | main_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Fabric Products objects from chinatexnet.com. All fields typed and schema-versioned.
"product_id": "CTX-99201", "title": "100% Cotton Printed Poplin Fabric", "material_composition": "100% Cotton", "weight_gsm": 120, "width": "57/58 inches", "moq": "1000 Meters", "fob_price": "1.45 USD", "supplier_name": "Hangzhou Silk Road Textiles"
| # | product_id | title | category | material_composition | weight_gsm | width |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Yarn & Thread objects from chinatexnet.com. All fields typed and schema-versioned.
"yarn_type": "Ring Spun Yarn", "count": "32s", "material": "100% Polyester", "spot_price": 14500.0, "price_unit": "RMB/Ton", "price_date": "2026-05-12", "origin": "Jiangsu"
| # | listing_id | yarn_type | count | twist | color | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Leads objects from chinatexnet.com. All fields typed and schema-versioned.
"lead_id": "TL-402918", "lead_type": "BUY", "product_keyword": "Viscose Rayon Staple Fiber", "quantity_required": "50 Tons", "posting_date": "2026-05-10", "buyer_region": "Bangladesh", "status": "Active"
| # | lead_id | lead_type | product_keyword | quantity_required | target_price | posting_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textile Machinery objects from chinatexnet.com. All fields typed and schema-versioned.
"machine_name": "High Speed Air Jet Loom", "brand": "Tsudakoma", "model": "ZAX9100", "condition": "Used", "production_capacity": "800 RPM", "supplier_name": "Qingdao Machinery Trading", "price": "Negotiable"
| # | machine_id | machine_name | brand | model | condition | production_capacity |
|---|---|---|---|---|---|---|
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Our Chinatexnet scraper handles legacy web architecture: deep directory pagination, mixed text encodings, and regional access blocks.
Extract manufacturer profiles, registered capital, operating history, and factory certifications across all regional sub-directories.
Extract structured GSM, width, material composition, and MOQ data from unstructured legacy product descriptions.
Monitor spot prices for raw materials, yarn, and grey fabric. Timestamped per crawl to build historical pricing curves.
Capture active buy and sell requests, target prices, and required quantities to identify procurement demand signals.
Native handling of GBK and GB2312 legacy encodings, automatically converted to standard UTF-8 for downstream compatibility.
Parse and unmask phone numbers, email addresses, and WeChat IDs embedded within supplier profiles and product pages.
Extract production capacities, brands, and models for new and used textile machinery listings.
Track upcoming textile expos, exhibitor lists, and booth assignments published on the portal.
Run one-off bulk directory exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target categories, material types, or regional directories. We design the extraction schema together.
We configure Scrapy crawlers, regional proxy routing, encoding normalisation, and pagination handling.
Schema validation, null-rate checks, encoding verification, and data formatting before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from older regional portals requires specific infrastructure. Here is how we maintain reliable output.
Access to regional B2B portals often requires local IP addresses to prevent rate limiting or geo-blocking. We route requests through residential and datacenter proxy pools located in Mainland China and Hong Kong.
Chinatexnet uses legacy GBK and GB2312 encodings. Our pipeline automatically detects, decodes, and converts all text payloads to clean UTF-8 before downstream delivery.
Supplier directories are deeply nested with complex pagination structures. We build custom crawler logic to traverse every category branch, ensuring complete coverage without infinite loops.
For massive supplier directories, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice missing data.
Procurement teams build alternative supplier databases for fabric and yarn to mitigate single-source risk.
Analysts monitor spot prices for cotton, polyester, and viscose to forecast procurement costs and negotiate contracts.
Textile manufacturers track rival product lines, machinery upgrades, and export focus via public listings.
Logistics providers and freight forwarders identify active textile exporters to target for outbound sales.
Consultancies map the Chinese textile manufacturing landscape by region, capacity, and material specialty.
Audit teams verify factory certifications, registered capital, and operating history against public directory profiles.
"Chinatexnet holds the operational footprint of the world's largest textile hub. Extracting it requires navigating legacy web infrastructure and regional network barriers."
Most teams underestimate the investment required. Reliable scraping of Chinese B2B portals requires regional proxy routing, handling legacy text encodings, bypassing aggressive rate limits, and normalising unstructured product specifications. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our chinatexnet.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.
We maintain pools of residential and datacenter proxies in targeted regions to ensure high success rates on local portals.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About chinatexnet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under international web scraping guidelines. DataFlirt targets only public, non-authenticated directory listings and product data. We do not circumvent authentication walls or extract proprietary user data. Clients should consult legal counsel for their specific jurisdictions.
We use regional proxy pools located in Mainland China and Hong Kong to route requests, mimicking local traffic and preventing geo-based access restrictions.
Yes. Chinatexnet relies on legacy GBK and GB2312 encodings. Our pipeline decodes these formats and normalises all text output to standard UTF-8.
Spot price pipelines run on daily schedules, capturing the latest listed prices for yarn, fabric, and raw materials. Historical snapshots are maintained from pipeline inception.
We extract publicly visible phone numbers, emails, and contact names from supplier profiles. We do not extract gated information requiring VIP membership.
Our packages start at defined category or regional directory extractions with weekly delivery. We price based on data volume and delivery frequency.
Yes. We provide a sample run of up to 500 supplier profiles or product listings during the 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 export or a continuous yarn price feed, we scope, build, and operate the pipeline. Tell us what you need.
