We extract shipment records, HS code classifications, port movements, and pricing metrics from Zauba. 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 Import Shipments objects from zauba.com. All fields typed and schema-versioned.
"date": "2026-05-10", "hs_code": "85176290", "description": "ROUTERS FOR TELECOMMUNICATION NETWORKS", "origin_port": "SHENZHEN (CNSZX)", "destination_port": "NHAVA SHEVA SEA (INNSA1)", "quantity": 1250, "uqc": "NOS", "unit_price_inr": 4250.5, "total_value_inr": 5313125.0
| # | date | hs_code | description | origin_port | destination_port | quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Export Shipments objects from zauba.com. All fields typed and schema-versioned.
"date": "2026-05-11", "hs_code": "30049099", "description": "PHARMACEUTICAL PRODUCTS - PARACETAMOL TABLETS IP 500MG", "origin_port": "BOMBAY AIR CARGO (INBOM4)", "destination_port": "LONDON HEATHROW (GBLHR)", "quantity": 50000, "uqc": "PAC", "unit_price_inr": 12.4, "total_value_inr": 620000.0
| # | date | hs_code | description | origin_port | destination_port | quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for HS Code Directory objects from zauba.com. All fields typed and schema-versioned.
"hs_code": "85176290", "chapter": "85", "heading": "8517", "description": "Other apparatus for transmission or reception of voice, images or other data", "import_duty_pct": 20.0, "igst_pct": 18.0, "total_duty_pct": 41.6, "policy_type": "FREE"
| # | hs_code | chapter | heading | sub_heading | description | import_duty_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Profiles objects from zauba.com. All fields typed and schema-versioned.
"cin": "U72900KA2021PTC145892", "company_name": "DATAFLIRT TECHNOLOGIES PRIVATE LIMITED", "roc_code": "RoC-Bangalore", "company_category": "Company limited by Shares", "class_of_company": "Private", "date_of_incorporation": "2021-04-12", "authorized_capital": 1000000.0, "paid_up_capital": 100000.0
| # | cin | company_name | roc_code | registration_number | company_category | class_of_company |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Port Analytics objects from zauba.com. All fields typed and schema-versioned.
"port_code": "INNSA1", "port_name": "NHAVA SHEVA SEA", "port_type": "SEA", "state": "MAHARASHTRA", "total_imports_value_inr": 8459200000.0, "total_exports_value_inr": 6120400000.0, "top_import_hs_code": "27090010", "top_export_hs_code": "87032291"
| # | port_code | port_name | port_type | state | total_imports_value_inr | total_exports_value_inr |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Zauba scraper handles the complex pagination, CAPTCHA walls, and unstructured table data of Indian trade logs — converting raw shipment rows into clean warehouse records.
Extract Bill of Entry level data including date, HS code, item description, origin port, destination port, and pricing metrics.
Capture Shipping Bill records with destination markets, export volumes, unit pricing, and total shipment values in INR.
Map raw shipment data to the official 8-digit Harmonised System codes, including chapter and sub-heading hierarchies.
Extract unit prices and total shipment values, normalising currencies and calculating average unit costs per HS code.
Track cargo movements across specific Indian ports, mapping origin-to-destination trade routes.
Capture raw shipment quantities and standardise Unit Quantity Codes (UQC) like KGS, NOS, and LTR for accurate volume analysis.
Backfill years of historical shipment data to build long-term supply chain trend models and seasonal forecasts.
Bypass standard UI limits to iterate through thousands of pages of search results without dropping records.
Handle Zauba's aggressive IP rate limiting and CAPTCHA challenges using residential proxies and automated solving.
Brief in. Clean data out.
Provide HS codes, product keywords, or company names. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, session management, and CAPTCHA handling for zauba.com.
Schema validation, null-rate checks, and unit price normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Zauba protects its trade data with rate limits and CAPTCHAs. Here is how we maintain steady extraction throughput.
Zauba frequently triggers CAPTCHAs during heavy pagination or specific HS code searches. We integrate CapSolver and 2Captcha directly into the request pipeline to clear challenges without manual intervention.
Shipment descriptions on Zauba are often noisy, concatenated strings entered by customs brokers. We clean and normalise these text fields to extract core product identifiers and specifications.
Zauba aggressively rate-limits datacenter IPs. We route traffic through Indian residential ISP proxies, rotating per request to maintain high concurrency without triggering blocks.
Table structures for shipment records can vary between historical data and recent entries. Our parsers use structural heuristics rather than rigid XPath indices to extract rows reliably.
Standard searches often cap at a limited number of pages. We use date-range chunking and specific filter combinations to bypass these limits and extract the complete dataset.
Manufacturers track raw material imports to map global supply chains and identify alternative sourcing regions.
Brands monitor competitor import volumes and unit costs to reverse-engineer product margins and supplier relationships.
Procurement teams use aggregate unit price data across specific HS codes to negotiate better terms with overseas suppliers.
Logistics companies identify high-volume importers and exporters across specific trade lanes to target new client acquisition.
Commodity traders monitor import volumes of specific raw materials to forecast domestic supply gluts or shortages.
Analysts aggregate import quantities of finished goods to estimate domestic market share for foreign brands.
"Zauba holds the definitive ledger of Indian cross-border trade — but extracting millions of paginated shipment rows requires serious bypass infrastructure."
Most teams underestimate the investment required: reliable Zauba scraping requires residential proxies, CAPTCHA solving at scale, deep pagination handling, and anomaly monitoring for malformed table rows. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our zauba.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 extraction of static tables, while Playwright manages complex search submissions and CAPTCHA challenge rendering.
We maintain pools of Indian residential IPs to ensure requests appear as legitimate domestic traffic, bypassing strict datacenter blocks.
Pipelines run on Kubernetes. 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 zauba.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly accessible trade data is generally permissible. We target only public shipment logs, HS codes, and company data displayed on zauba.com. Clients should consult legal counsel for specific commercial use cases.
Zauba redacts certain importer and exporter names on the public UI. Our scraper captures exactly what is visible on the page. We cannot unmask names that Zauba has actively hidden.
We can schedule pipelines to run daily or weekly to capture the latest shipment records as soon as Zauba indexes them. Note that Indian customs data often has a slight inherent lag before appearing on public portals.
Yes. We can configure backfill pipelines to extract historical shipment records for specific HS codes or product keywords spanning multiple years.
Yes. We extract the raw quantity and the associated Unit Quantity Code (UQC), allowing you to normalise volumes (e.g., converting NOS, KGS, or PAC) in your downstream analysis.
Our smallest packages start at a defined set of HS codes or product keywords with monthly delivery. For full category monitoring, we price based on data volume and extraction frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need historical shipment logs for a single HS code or continuous tracking of entire product categories — we scope, build, and operate the pipeline. Tell us what you need.
