We extract supplier directories, fabric specifications, machinery catalogues, and trade leads from Texindex. 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 Supplier Profiles objects from texindex.com. All fields typed and schema-versioned.
"company_name": "Zhejiang Textile Corp", "country": "China", "business_type": "Manufacturer, Trading Company", "established_year": 1998, "main_products": "['Cotton Fabric', 'Polyester Blend', 'Denim']", "certifications": "['ISO9001', 'OEKO-TEX Standard 100']"
| # | company_name | supplier_url | country | province | business_type | established_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Fabric Catalogues objects from texindex.com. All fields typed and schema-versioned.
"product_id": "TX-89211", "product_name": "100% Cotton Woven Poplin Fabric", "material_composition": "100% Cotton", "fabric_weight": "120gsm", "width": "57/58 inches", "moq": "1000 Meters", "fob_price": "1.25 - 1.80 USD"
| # | product_id | product_name | supplier_name | category | material_composition | fabric_weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Leads objects from texindex.com. All fields typed and schema-versioned.
"lead_id": "L-44920", "lead_type": "Buy", "title": "Need 50,000m of Recycled Polyester", "buyer_country": "Germany", "posted_date": "2023-10-14", "quantity_required": "50,000 Meters", "contact_status": "Premium Members Only"
| # | lead_id | lead_type | title | category | posted_date | expiry_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textile Machinery objects from texindex.com. All fields typed and schema-versioned.
"machine_id": "M-2291", "machine_name": "High Speed Circular Knitting Machine", "manufacturer": "Fujian Machinery Ltd", "machine_type": "Knitting Machinery", "production_capacity": "30kg/hour", "power_consumption": "5.5kW", "warranty": "1 Year"
| # | machine_id | model_number | machine_name | manufacturer | machine_type | production_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Yarn & Thread objects from texindex.com. All fields typed and schema-versioned.
"yarn_id": "Y-8831", "product_name": "Combed Cotton Yarn 40s", "yarn_type": "Spun Yarn", "material": "100% Cotton", "yarn_count": "40s/1", "usage": "['Knitting', 'Weaving']", "packaging": "PP Woven Bag"
| # | yarn_id | product_name | supplier | yarn_type | material | yarn_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Texindex scraper handles the complexity of B2B directories: deep pagination, unstructured product specifications, and rate limits. We normalise textile data into strict schemas.
Extract company profiles, factory locations, business types, and certification badges across all regional directories.
Parse unstructured product descriptions into structured fields: composition, weight (gsm), width, and yarn count.
Track new buy and sell leads in real time. Filter by category, required quantity, and buyer region.
Extract technical specifications, production capacities, and power requirements for textile manufacturing equipment.
Extract phone numbers, email formats, and contact person names where publicly exposed on supplier pages.
Identify and extract ISO, OEKO-TEX, and GOTS certification claims from supplier profiles for compliance verification.
Maintain the full taxonomy from parent categories (e.g., Apparel Fabric) down to specific weaves and knits.
Capture high-resolution URLs for fabric swatches, machinery photos, and factory floor images.
Run continuous pipelines that detect new suppliers, updated fabric listings, and fresh trade leads.
Brief in. Clean data out.
Provide target categories, supplier regions, or specific material types. We map the Texindex schema.
We configure Scrapy crawlers, handle directory pagination, and write custom parsers for fabric specifications.
Schema validation ensures GSM, width, and composition fields are correctly typed and normalised.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
B2B directories present unique parsing challenges. Here is how we turn unstructured textile catalogues into queryable databases.
Fabric details are often dumped into single text blocks. We use regex and NLP to extract GSM, width, and material percentages into distinct columns.
Texindex supplier lists span thousands of pages. Our crawlers manage stateful pagination and distributed queues to ensure zero dropped records.
Directory scraping triggers rate limits. We distribute requests across residential proxy pools with randomised delays to maintain continuous extraction.
Fabric listings contain multiple swatch images. We extract the full image array and map them to their respective colorway metadata.
We maintain a hash index of supplier profiles. Subsequent runs only extract new suppliers or updated product listings, saving downstream processing.
Procurement teams build internal databases of textile manufacturers filtered by region, capacity, and certifications.
Textile manufacturers monitor competitor catalogues, pricing models, and new material introductions.
Analysts track the frequency of specific material compositions (e.g., recycled polyester) to quantify sustainability trends.
B2B brokers aggregate buy and sell leads to match buyers with their own network of textile mills.
Factory managers extract machinery specifications to compare production capacities and power consumption across vendors.
Supply chain auditors scrape certification claims (OEKO-TEX, GOTS) to cross-reference with official databases.
"Texindex holds the global supply chain for textiles - but extracting structured material specifications from free-text descriptions requires purpose-built parsing."
B2B directories are notoriously difficult to scrape cleanly. Suppliers format data inconsistently, hiding crucial specs like GSM and yarn count in paragraphs of text. DataFlirt applies custom parsing logic to normalise this data, delivering a clean, warehouse-ready textile database without the engineering overhead.
Everything supported by our texindex.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 high-throughput directory traversal while custom Python middleware parses unstructured textile specifications into strict schemas.
We route requests through ISP-grade residential proxies to bypass rate limits common on large B2B directories.
Pipelines run on AWS ECS. Airflow manages scheduling, dependency tracking, and automated retries for failed pages.
Data delivered to where your team already works — no new tooling required.
About texindex.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available supplier and product data is generally permissible. DataFlirt extracts only public, non-authenticated directory listings and fabric specifications. We do not bypass paid membership walls.
We use custom regex patterns and NLP to extract specific attributes like material composition percentages, GSM (weight), and width from free-text descriptions.
We extract phone numbers, emails, and contact names only when they are displayed publicly on the supplier profile or product page.
Trade leads can be extracted daily or hourly depending on your requirements, ensuring you capture new inquiries as they are posted.
We extract the high-resolution image URLs and include them in the structured data. We can also configure pipelines to download and store images in your S3 bucket.
Our engagements typically start with a full extraction of specific categories (e.g., all Cotton Fabric suppliers) or a continuous feed of new trade leads.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of apparel manufacturers or a continuous feed of fabric specifications - we scope, build, and operate the pipeline. Tell us what you need.
