We extract manufacturer profiles, product catalogues, trust stamps, and trade leads from ExportersIndia. 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 Company Profiles objects from exportersindia.com. All fields typed and schema-versioned.
"company_name": "Balaji Enterprises", "establishment_year": 1998, "business_type": "Manufacturer, Exporter", "annual_turnover": "Rs. 10 - 25 Crore", "location": "Mumbai, Maharashtra", "trust_stamp": "Verified Supplier"
| # | company_name | profile_url | establishment_year | business_type | ceo_name | employee_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Product Catalogues objects from exportersindia.com. All fields typed and schema-versioned.
"product_id": "PRD-849201", "title": "Industrial Grade Mild Steel Pipes", "category": "Industrial Supplies", "price_range": "INR 50 - 80 / Kilogram", "moq": "500 Kilogram", "packaging_type": "Bundles"
| # | product_id | title | category | sub_category | price_range | moq |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Trade Leads objects from exportersindia.com. All fields typed and schema-versioned.
"lead_id": "TL-99281", "lead_type": "Buy", "product_required": "Organic Cotton Yarn", "quantity": "20 Metric Ton", "destination": "Hamburg, Germany", "posting_date": "2023-10-14"
| # | lead_id | lead_type | product_required | quantity | destination | posting_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Categories & Taxonomy objects from exportersindia.com. All fields typed and schema-versioned.
"category_id": "CAT-402", "category_name": "Agricultural Machinery", "parent_category": "Agriculture", "supplier_count": 14205, "product_count": 89402, "trending_keywords": "['Tractors', 'Harvesters', 'Ploughs']"
| # | category_id | category_name | parent_category | url | supplier_count | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Trust & Certifications objects from exportersindia.com. All fields typed and schema-versioned.
"company_id": "COMP-11029", "verification_status": "Gold Member", "member_since": "2015", "iso_certifications": "['ISO 9001:2015']", "export_markets": "['Middle East', 'Europe']", "response_rate": "94%"
| # | company_id | verification_status | member_since | iso_certifications | export_markets | primary_competitive_advantage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our ExportersIndia scraper handles directory pagination, supplier microsite variations, obfuscated contact details, and rate limiting — delivering structured B2B data directly to your warehouse.
Company name, establishment year, turnover, employee count, and business type extracted across millions of directory profiles.
Title, description, minimum order quantity (MOQ), pricing brackets, and packaging details mapped to specific suppliers.
Capture daily buy and sell leads, including product requirements, quantities, destination markets, and posting dates.
Extract available public contact details including registered addresses, phone numbers, and key personnel names.
Identify verified suppliers, Gold/Premium members, and ISO certifications to filter high-quality manufacturers.
Extract the complete category and sub-category hierarchy to map product domains and industry verticals.
Capture declared export markets and primary competitive advantages from detailed company profiles.
Normalise inconsistent DOM structures across custom supplier subdomains into a single unified schema.
Run one-off directory exports or configure continuous pipelines at daily or weekly cadences for new trade leads.
Brief in. Clean data out.
Provide category URLs, keyword sets, or specific industry verticals. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for exportersindia.com.
Schema validation, null-rate checks, location standardisation, and sample profiles before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B directories deploy rate limiting and obfuscation to protect their supplier databases. Here is how we maintain extraction reliability.
ExportersIndia tracks request volumes per IP. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to distribute the load and avoid IP bans.
Many suppliers on ExportersIndia have custom subdomains with varying HTML layouts. We maintain a library of fallback selectors and heuristic parsers to extract structured data regardless of the microsite template.
Phone numbers and email addresses are often hidden behind 'Click to View' JavaScript events. We use Playwright to trigger these elements and capture the hydrated contact details.
Directories often limit pagination to the first 100 pages. We bypass this by programmatically slicing search queries by location, turnover, and sub-category to extract the full underlying dataset.
For large supplier catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load.
Sales teams extract supplier contact details and business types to build highly targeted outbound outreach campaigns.
Procurement teams identify alternative manufacturers and exporters in India to mitigate supply chain risks.
Analysts aggregate supplier counts, turnover ranges, and product categories to map the Indian manufacturing landscape.
Manufacturers track competitor product catalogues, pricing brackets, and export markets to inform their own positioning.
New B2B platforms extract supplier profiles and product catalogues to cold-start their own marketplace supply side.
Financial institutions identify high-turnover exporters with verified trust stamps to offer trade finance and credit products.
"ExportersIndia holds the definitive map of India's manufacturing supply chain — but extracting normalised supplier data from fragmented microsites requires dedicated infrastructure."
B2B directory scraping involves navigating inconsistent supplier subdomains, obfuscated contact details, and aggressive rate limiting. DataFlirt manages the proxy rotation, JavaScript hydration, and schema normalisation so your procurement and sales teams receive clean, queryable records.
Everything supported by our exportersindia.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, deduplication, and retry logic. Playwright handles JavaScript rendering for obfuscated contact details. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across Indian regions. Rotation happens per-request to bypass aggressive directory rate limits and IP bans.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About exportersindia.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from directories is generally permissible under applicable law. DataFlirt targets only public, non-authenticated supplier profiles, product catalogues, and trade leads. We do not circumvent authentication walls for paid data. Clients should review ExportersIndia's ToS and consult legal counsel for specific use cases.
ExportersIndia allows suppliers to host custom subdomains with varying layouts. We use heuristic parsers and multi-layer fallback selectors to normalise these varying DOM structures into a single consistent JSON schema.
Yes. We use Playwright to execute the JavaScript associated with 'Click to View' buttons, hydrating the DOM and extracting the underlying contact information, provided it is publicly accessible without a paid login.
Directories often cap search results at a certain page depth. We programmatically slice broad categories by applying location filters, turnover brackets, and sub-category parameters to ensure 100% extraction coverage.
For trade lead pipelines, we can configure daily or hourly extraction runs to capture new buy/sell requirements as soon as they are posted, delivering them via Webhook or S3.
Our minimum engagements typically start at a defined category extraction (e.g., all suppliers in 'Industrial Machinery'). We price based on data volume, extraction frequency, and schema complexity.
Absolutely. We provide a sample run of up to 500 supplier profiles or a specific sub-category as part of the pre-engagement scoping process — so you can 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 a continuous feed of new trade leads — we scope, build, and operate the pipeline. Tell us what you need.
