We extract manufacturer profiles, wholesale fabric catalogues, machinery specs, and supplier contact details from Textileinfomedia. 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 textileinfomedia.com. All fields typed and schema-versioned.
"company_name": "Shree Ram Textiles", "business_type": "Manufacturer", "location_city": "Surat", "verified_status": true, "annual_turnover": "Rs 5 to 10 Crore", "contact_person": "Rajesh Kumar", "phone_number": "+91-9876543210"
| # | supplier_id | company_name | business_type | year_established | gst_number | total_employees |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Product Catalogues objects from textileinfomedia.com. All fields typed and schema-versioned.
"product_name": "Printed Cotton Dress Material", "fabric_type": "100% Cotton", "wholesale_price": 250.0, "moq": "100 Pieces", "category": "Dress Materials", "colour": "Multicolour", "delivery_time": "7 Days"
| # | product_id | supplier_id | product_name | category | sub_category | fabric_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Textile Machinery objects from textileinfomedia.com. All fields typed and schema-versioned.
"machine_name": "High Speed Circular Knitting Machine", "machine_type": "Knitting", "production_capacity": "500 kg/day", "automation_grade": "Automatic", "price": 850000.0, "warranty": "1 Year", "condition": "New"
| # | machine_id | supplier_id | machine_name | machine_type | production_capacity | power_consumption |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category Taxonomy objects from textileinfomedia.com. All fields typed and schema-versioned.
"category_name": "Silk Sarees", "parent_category": "Sarees", "total_suppliers": 4521, "total_products": 38900, "top_cities": "['Surat', 'Varanasi', 'Kanchipuram']", "url_slug": "silk-sarees-wholesalers"
| # | category_id | category_name | parent_category | url_slug | total_suppliers | total_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for B2B Inquiries objects from textileinfomedia.com. All fields typed and schema-versioned.
"product_requested": "Polyester Yarn 150D", "quantity_required": "5000 kg", "buyer_location": "Ludhiana", "posting_date": "2026-05-10", "urgency": "Immediate", "buyer_type": "Weaver", "target_price": "Negotiable"
| # | inquiry_id | product_requested | quantity_required | buyer_location | posting_date | urgency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Textileinfomedia scraper handles complex B2B directory structures, unmasks hidden contact details, and normalises product catalogues across thousands of inconsistent supplier profiles.
Extract complete supplier lists across Surat, Mumbai, Panipat, and Tirupur textile hubs with verified status flags.
Scrape fabric types, GSM specs, weave patterns, and colour variants for bulk orders across all categories.
Capture wholesale price brackets, minimum order quantities, and payment terms per supplier listing.
Extract phone numbers, WhatsApp links, and business addresses for direct B2B outreach and lead generation.
Scrape technical specifications for power looms, spinning machines, and dyeing equipment from verified sellers.
Track Trust Stamp, verified supplier badges, and GST registration details to filter high quality leads.
Map complex textile taxonomies from raw cotton and yarn to finished garments and home textiles.
Filter and extract supplier data by state, city, or specific textile clusters based on your procurement needs.
Monitor new supplier registrations and product catalogue additions on a weekly or monthly cadence.
Brief in. Clean data out.
Provide target categories like silk sarees or cotton yarn, or specify city hubs. We map the extraction schema.
We configure Scrapy crawlers, handle pagination, and manage JS execution for textileinfomedia.com.
Schema validation, null-rate checks on contact fields, and sample data delivery for your review.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Textileinfomedia relies on varied profile templates and JavaScript obfuscation to protect contact data. Here is how we ensure reliable extraction.
B2B directory sites often break or loop on deep pagination. We build stateful crawlers that track seen entity IDs to prevent infinite loops and ensure complete category coverage.
Supplier pages vary wildly depending on membership tier (free versus paid). We build multi-fallback selectors to normalise data across all profile templates.
Phone numbers and emails are often hidden behind JavaScript triggers or image elements. We use Playwright to hydrate the DOM and trigger reveal events automatically.
Aggressive IP rate-limiting blocks standard datacenter IPs. We route requests through Indian residential proxies to maintain high success rates without triggering blocks.
We maintain state across runs to extract only newly added suppliers and products, avoiding the need to re-scrape the entire directory every week.
Sales teams extract manufacturer contact details to pitch raw materials, logistics services, or factory software.
Analysts track the concentration of textile manufacturing hubs across Indian cities to identify industry trends.
Fashion brands and retailers build comprehensive supplier databases for fabric sourcing and contract manufacturing.
Compare wholesale prices and MOQs for specific fabrics across different regions to optimise procurement costs.
B2B portals monitor Textileinfomedia category growth and supplier acquisition rates to benchmark their own platforms.
Map the flow of materials from yarn spinners to garment manufacturers using location and business type data.
"Textileinfomedia holds the most comprehensive map of India's textile supply chain, but extracting structured contact and catalogue data requires navigating a fragmented, inconsistent DOM."
B2B directories are notoriously difficult to scrape at scale. Supplier profiles use varying templates, contact details are dynamically loaded, and deep pagination often fails. DataFlirt handles the JavaScript rendering, proxy rotation, and schema normalisation so you get clean, queryable supplier data without writing a single selector.
Everything supported by our textileinfomedia.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 orchestration and deduplication; Playwright executes JavaScript for contact detail unmasking.
Indian residential proxy pools ensure high success rates without triggering rate limits or CAPTCHA walls.
Kubernetes and Lambda scale the crawl across thousands of category pages simultaneously for rapid catalogue extraction.
Data delivered to where your team already works — no new tooling required.
About textileinfomedia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available business directory information is generally permissible. DataFlirt targets only public, non-authenticated supplier profiles and product catalogues. We do not extract private buyer messages or circumvent authentication walls.
We use Playwright to simulate user interactions, clicking 'View Number' or similar buttons to execute the JavaScript that reveals the contact details, capturing the data exactly as a browser would.
Yes. We can configure the pipeline to target specific geographic hubs, extracting suppliers only from defined cities, states, or regions based on your requirements.
We offer scheduled pipelines running on weekly, bi-weekly, or monthly cadences. Incremental runs capture only new suppliers or updated product catalogues to minimise redundant data.
We extract the raw URLs of high-resolution product and fabric images. If required, we can also download and store the image files directly to your S3 bucket.
Our selector strategy uses multiple fallback chains per field. If a specific profile template changes, our monitoring detects schema drift and alerts our engineers to update the selectors.
We can extract publicly posted B2B inquiries and leads. However, private leads that require a paid supplier subscription and login credentials are not supported.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of Surat manufacturers or a continuous feed of new fabric catalogues, we scope, build, and operate the pipeline. Tell us what you need.
