We extract member directories, export statistics, trade policies, and circulars from texprocil.org. Delivered as clean JSON, CSV, or Parquet to your infrastructure.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Exporter Directory objects from texprocil.org. All fields typed and schema-versioned.
"company_name": "Vardhman Textiles Limited", "rcmc_number": "TEX/MUM/10294", "contact_person": "Rajesh Kumar", "city": "Ludhiana", "state": "Punjab", "export_products": "['Cotton Yarn', 'Woven Fabrics']", "membership_type": "Manufacturer Exporter", "status": "Active"
| # | company_name | rcmc_number | contact_person | designation | address | city |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Circulars objects from texprocil.org. All fields typed and schema-versioned.
"circular_number": "E-Serve No. 42 of 2026", "circular_date": "2026-03-14", "subject": "Extension of RoDTEP Scheme for Textile Exports", "category": "Policy Update", "issuing_authority": "Ministry of Textiles", "pdf_url": "https://texprocil.org/circulars/eserve42.pdf", "reference_number": "MOT/2026/03/14", "scraped_at": "2026-03-15T08:12:00Z"
| # | circular_number | circular_date | subject | category | issuing_authority | pdf_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Export Statistics objects from texprocil.org. All fields typed and schema-versioned.
"financial_year": "2025-2026", "month": "February", "hs_code": "5205", "commodity_description": "Cotton yarn, containing 85% or more by weight of cotton", "export_destination": "Bangladesh", "volume_kg": 14500000.0, "value_usd": 42500000.0, "yoy_growth_pct": 4.2
| # | financial_year | month | hs_code | commodity_description | export_destination | volume_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Global Tariffs objects from texprocil.org. All fields typed and schema-versioned.
"destination_country": "United Kingdom", "hs_code": "5208", "product_description": "Woven fabrics of cotton", "base_tariff_rate": 8.0, "preferential_rate": 0.0, "fta_name": "India-UK FTA", "effective_date": "2026-01-01", "last_updated": "2026-02-10T10:00:00Z"
| # | destination_country | hs_code | product_description | base_tariff_rate | preferential_rate | fta_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Events objects from texprocil.org. All fields typed and schema-versioned.
"event_name": "Heimtextil 2026", "event_type": "International Exhibition", "start_date": "2026-01-13", "end_date": "2026-01-16", "location": "Frankfurt, Germany", "venue": "Messe Frankfurt", "organiser": "Messe Frankfurt Exhibition GmbH", "registration_deadline": "2025-10-31"
| # | event_name | event_type | start_date | end_date | location | venue |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipelines navigate legacy web architectures, parse unstructured PDFs, and normalise textile export statistics into queryable warehouse records.
Capture company details, contact information, RCMC numbers, and product categories for all registered member exporters.
Automated download and text extraction from trade circulars, policy notifications, and E-Serve documents.
Convert HTML tables and PDF reports of monthly export data into structured time-series datasets by HS code.
Monitor base and preferential tariff rates across destination countries for specific cotton textile HS codes.
Extract lists of Indian pavilions, exhibiting members, and booth numbers for international trade fairs.
Map product descriptions to standard HS codes based on the council's official classification lists.
Run daily checks for new circulars and monthly checks for updated export statistics to keep your database current.
Standardise company names, fix formatting errors in legacy tables, and normalise currency values.
Scrape historical circulars and past financial year statistics to build comprehensive longitudinal datasets.
Brief in. Clean data out.
Specify required datasets: member directories, statistical tables, or PDF circular archives.
We configure Scrapy spiders, PDF parsers, and table extraction logic for texprocil.org.
Verify data types, check PDF extraction accuracy, and ensure complete pagination coverage.
Structured records pushed to your S3 bucket, PostgreSQL database, or delivered via API.
Government and council websites often rely on legacy infrastructure. We handle the parsing complexity so you receive clean data.
Texprocil and similar portals often use legacy ASP.NET forms with complex ViewState tokens. Our crawlers manage these session tokens automatically to navigate paginated directories and search results without breaking.
Trade circulars are published as scanned or native PDFs rather than HTML. We deploy OCR and PDF parsing libraries to extract the raw text, reference numbers, and dates, converting documents into searchable JSON records.
Export statistics tables frequently change column headers or merge cells across different financial years. We build custom normalisation layers to map inconsistent table structures into a unified schema.
Council servers often lack the capacity of modern cloud infrastructure. We configure strict concurrency limits and request delays to extract data reliably without triggering server errors or IP blocks.
When the council updates its website layout or document formats, our automated tests detect schema drift. We pause the pipeline, update the selectors, and resume delivery to prevent corrupt data entering your warehouse.
International buyers and buying houses use the exporter directory to identify verified Indian cotton yarn and fabric manufacturers.
Textile analysts track month-on-month export volumes across specific HS codes to forecast demand and price trends.
Compliance teams monitor trade circulars for changes to export incentives, RoDTEP rates, and customs procedures.
Textile mills track competitor participation in international trade fairs and exhibitions to align their own marketing strategies.
Logistics providers and freight forwarders extract member directories to build targeted outreach lists for textile exporters.
Legal teams track updates to international tariff rates and non-tariff barriers published by the council for target markets.
"Texprocil holds the definitive dataset for Indian cotton textile exports, but extracting historical statistics from nested PDFs requires dedicated infrastructure."
Council websites present unique extraction challenges including session timeouts, unstructured document formats, and legacy table layouts. DataFlirt builds the parsers and maintains the pipelines so your analysts can focus on market trends rather than PDF extraction.
Everything supported by our texprocil.org scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We use Scrapy for high-throughput crawling, handling HTTP requests, cookie management, and retry logic for legacy web servers.
Custom Python modules using pdfplumber and OCR tools process unstructured trade circulars into clean text fields.
Apache Airflow schedules daily checks for new circulars and monthly triggers for export statistics updates, ensuring data freshness.
Data delivered to where your team already works — no new tooling required.
About texprocil.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible directories, public circulars, and published export statistics is generally permissible. DataFlirt extracts only public information and does not bypass authentication walls to access member-only data. Clients should ensure their use of the data complies with local regulations.
Yes. Our pipelines include OCR capabilities to process scanned documents, extracting the core text, reference numbers, and dates alongside the original PDF URL.
We typically configure pipelines to check for new trade circulars daily and scan for updated export statistics monthly, aligning with the council's publication schedule.
Yes. Our Scrapy spiders are configured to manage ViewState and EventValidation tokens, ensuring complete extraction of paginated directories and search results.
Yes. We structure the export statistics tables to ensure volume and value metrics are accurately linked to their corresponding 4-digit or 8-digit HS codes.
CSV or XLS is typically preferred for the exporter directory, as it provides a flat structure easily imported into CRM systems for lead generation.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off directory export or continuous monitoring of trade circulars, we scope and operate the pipeline. Tell us your requirements.
