We extract B2B supplier profiles, product catalogues, MOQ pricing, GST details, and Trust Stamp credentials from Tradeindia. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
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 tradeindia.com. All fields typed and schema-versioned.
"company_name": "Balaji Industrial Corporation", "business_type": "Manufacturer, Exporter", "year_established": 1998, "gst_number": "07AAAAA0000A1Z5", "trust_stamp": true, "city": "New Delhi", "employee_count": "51 - 100 People"
| # | supplier_id | company_name | business_type | year_established | ceo_name | employee_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Product Catalogues objects from tradeindia.com. All fields typed and schema-versioned.
"product_name": "Industrial Brass Valves", "category": "Pipes, Tubes & Fittings", "price_min": 150.0, "price_max": 450.0, "moq": 500, "unit_type": "Piece", "supplier_id": "TIN-882910"
| # | product_id | supplier_id | product_name | category | sub_category | price_min |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Certifications objects from tradeindia.com. All fields typed and schema-versioned.
"certification_name": "ISO 9001:2015", "issuing_authority": "TUV SUD", "verification_status": "Verified", "iso_certified": true, "msme_registered": true, "supplier_id": "TIN-882910"
| # | supplier_id | certification_name | issuing_authority | issue_date | valid_until | verification_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Shows objects from tradeindia.com. All fields typed and schema-versioned.
"event_name": "PlastIndia 2026", "event_date": "2026-02-05", "venue": "Pragati Maidan", "exhibitor_name": "Polymer Tech India", "booth_number": "Hall 4, Stall B12", "product_categories": "['Plastic Resins', 'Injection Moulding']"
| # | event_name | event_date | venue | city | organizer | exhibitor_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Taxonomy objects from tradeindia.com. All fields typed and schema-versioned.
"category_name": "Submersible Pumps", "parent_category": "Pumps & Pumping Equipment", "level": 3, "supplier_count": 4120, "product_count": 18500, "category_url": "https://www.tradeindia.com/manufacturers/submersible-pumps.html"
| # | category_id | category_name | parent_category | level | supplier_count | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Tradeindia scraper navigates deep category trees, unrolls supplier catalogues, and captures critical business verification data while bypassing rate limits and CAPTCHAs.
Extract company name, established year, turnover, employee count, and primary business type for every listed vendor.
Capture wholesale product names, price ranges, minimum order quantities, and detailed specifications across catalogues.
Extract GST numbers, PAN details, ISO certifications, and Tradeindia Trust Stamp status to validate supplier legitimacy.
Navigate Tradeindia's complex multi-level taxonomy to extract all suppliers within highly specific niche industrial categories.
Scrape exhibitor lists, booth numbers, and showcased products directly from Tradeindia's event directories.
Extract precise factory and registered office addresses to map regional manufacturing clusters across India.
Download product images and company brochures directly to your S3 buckets for offline catalogue building.
Monitor premium supplier badges and featured placements across specific B2B search terms.
Run pipelines weekly or monthly, receiving only updated supplier records and new product additions to minimise processing overhead.
Brief in. Clean data out.
Provide target categories, HS codes, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, regional proxy rotation, and CAPTCHA handling for tradeindia.com.
Schema validation, null-rate checks, and data type normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B directories actively block automated catalogue extraction. Here is how our infrastructure maintains high-throughput extraction without triggering IP bans.
Tradeindia monitors request velocity and IP reputation. We route traffic through Indian residential proxies to mimic legitimate domestic B2B buyers, preventing geo-blocks and rate limiting.
Directory categories often cap visible results. We use highly specific search parameters and sub-category filtering to extract full supplier lists, bypassing the standard 100-page limit.
Some supplier details load via asynchronous JavaScript requests. We use Playwright to execute page scripts and capture the underlying XHR payloads that basic HTTP clients miss.
Supplier-entered data is highly unstructured. Our pipeline normalises price ranges, MOQ units, and address formats into strict warehouse-ready types for immediate querying.
When volumetric limits trigger CAPTCHAs, our integration with CapSolver automatically resolves them with zero pipeline downtime, ensuring SLA delivery.
Sales teams ingest supplier lists to build targeted outbound campaigns for industrial software, logistics, and financial services.
Procurement teams map alternative suppliers, compare MOQ pricing, and diversify manufacturing dependencies across Indian states.
Financial institutions cross-reference extracted GST, PAN, and turnover data with loan applications for SME credit scoring.
Analysts track the growth of specific manufacturing sectors and industrial clusters over time.
B2B marketplaces scrape Tradeindia catalogues to identify gap areas in their own supplier acquisition strategies.
Enterprises enrich their existing vendor databases with updated certification status and contact information.
"Tradeindia holds the digital footprint of India's manufacturing sector. Extracting it reliably transforms a static directory into a dynamic procurement and credit-scoring engine."
Building a reliable Tradeindia scraper requires handling aggressive rate limits, inconsistent supplier data entry, and complex category hierarchies. DataFlirt absorbs these infrastructure challenges. We deliver clean, normalised B2B datasets so your engineering team can focus on integrating the data, not fixing broken crawlers.
Everything supported by our tradeindia.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 the broad crawl orchestration and deduplication, while Playwright manages JavaScript execution for dynamic contact reveals and XHR interception.
We route requests through Indian residential ISP proxies, ensuring our crawlers appear as legitimate domestic business traffic to bypass regional blocking.
Pipelines execute on AWS Lambda and Kubernetes. Airflow manages scheduling, dependency tracking, and retries. All state is persisted in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About tradeindia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available supplier profiles and product catalogues is generally permissible under Indian law. DataFlirt extracts only public, non-authenticated B2B data. We do not extract personal data, bypass OTP walls, or scrape private RFQ messages.
No. Tradeindia masks mobile numbers and requires a logged-in buyer session with OTP verification to view them. We only extract publicly visible contact information, such as registered office addresses and landlines where available.
We distribute requests across a large pool of Indian residential proxies, randomise request intervals, and mimic human browsing patterns to stay below Tradeindia's security thresholds.
Yes. You can provide specific category URLs, search keywords, or HS codes. Our pipeline will isolate the crawl to your defined scope, reducing turnaround time and infrastructure costs.
Supplier-entered pricing is highly variable. Our pipeline normalises these strings into structured numeric fields for minimum price, maximum price, currency, and unit type.
We can configure weekly or monthly refreshes depending on your requirements. Given the static nature of B2B profiles, monthly diffs are standard for most enterprise clients.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of a specific manufacturing category or a continuous sync of the entire B2B directory — we scope, build, and operate the pipeline. Tell us what you need.
