We extract supplier profiles, trade leads, and product catalogues from Ecplaza.net. 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 ecplaza.net. All fields typed and schema-versioned.
"company_id": "EPZ849201", "company_name": "Shenzhen Industrial Machinery Co., Ltd.", "business_type": "Manufacturer, Trading Company", "country": "China", "established_year": 2008, "main_products": "['CNC Routers', 'Laser Cutting Machines']", "trust_score": 85
| # | company_id | company_name | business_type | country | established_year | main_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Product Catalogues objects from ecplaza.net. All fields typed and schema-versioned.
"product_id": "PRD992144", "title": "Industrial 5-Axis CNC Milling Machine", "category": "Machinery", "fob_price": 15000.0, "moq": "1 Set", "supply_ability": "50 Sets per Month", "payment_terms": "['T/T', 'L/C']"
| # | product_id | title | category | sub_category | supplier_id | fob_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Trade Leads (Selling) objects from ecplaza.net. All fields typed and schema-versioned.
"lead_id": "TL449281", "title": "Offering High Grade Copper Cathodes", "post_date": "2023-10-14", "expiry_date": "2024-04-14", "quantity_available": "5000 Metric Tons", "price": "Discounted LME", "origin_country": "Zambia"
| # | lead_id | title | category | post_date | expiry_date | quantity_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Buyer Inquiries objects from ecplaza.net. All fields typed and schema-versioned.
"inquiry_id": "INQ110293", "requested_product": "PET Resin Bottle Grade", "buyer_country": "Vietnam", "required_quantity": "100 Tons", "post_date": "2023-11-02", "sourcing_type": "Customised Product", "destination_port": "Ho Chi Minh"
| # | inquiry_id | requested_product | category | buyer_name | buyer_country | required_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Certifications & Trust objects from ecplaza.net. All fields typed and schema-versioned.
"company_id": "EPZ849201", "trust_seal_status": "Verified Supplier", "iso_certifications": "['ISO 9001:2015']", "factory_size": "5,000-10,000 square meters", "qc_staff_count": 12, "export_percentage": 85, "verification_date": "2023-01-15"
| # | company_id | trust_seal_status | verification_date | iso_certifications | patent_count | trademark_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ecplaza.net scraper handles complex supplier directories, custom storefront layouts, deep category pagination, and multilingual product listings. We deliver structured B2B intelligence directly to your database.
Company name, business type, location, and key personnel scraped across all Ecplaza industry categories.
Extract FOB pricing, minimum order quantities (MOQ), supply ability, and payment terms for millions of B2B products.
Track active buying and selling offers, capturing post dates, expiry windows, and required quantities.
Capture ISO certifications, factory sizes, and Ecplaza Trust Seal statuses to evaluate supplier credibility.
Extract registered addresses, phone numbers, and representative names for direct outreach.
Structured data from all 30 top-level Ecplaza categories including agriculture, machinery, chemicals, and textiles.
Traverse thousands of paginated search results and deep-dive into individual supplier mini-sites.
Clean and structure inconsistent pricing formats and order units into queryable numeric fields.
Track new trade leads and newly registered suppliers with daily or weekly delta runs.
Capture high-resolution product images and factory tour gallery URLs.
Brief in. Clean data out.
Provide target categories, HS codes, or keyword sets. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for ecplaza.net.
Schema validation, null-rate checks, and data type normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from global B2B directories involves navigating custom supplier templates and inconsistent data entry. Here is how we maintain pipeline stability.
Ecplaza employs basic rate limiting and bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints and randomised request timing to prevent IP bans.
Supplier storefronts on Ecplaza often use custom templates. Our extraction logic uses heuristic fallbacks to parse product details across varied DOM structures.
Search results truncate after a certain depth. We iterate through sub-categories and apply filtering parameters to ensure total coverage of the supplier index.
FOB prices and MOQs are entered in free-text by global suppliers. We parse and normalise currencies, weights, and container volumes into standard numeric types.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift, responding before you notice.
Identify verified manufacturers, compare MOQs, and evaluate factory certifications to build resilient supply chains.
Extract newly registered exporters and importers to build targeted outbound sales lists for logistics and freight forwarding services.
Track FOB prices and supply capabilities across specific industrial categories to benchmark competitor pricing.
Incorporate supplier establishment years, employee counts, and trust seals into alternative credit risk models.
Analyse the volume and frequency of buyer inquiries to gauge regional demand for specific raw materials.
Monitor the product catalogues and new product launches of competing manufacturers listed on the platform.
"Ecplaza.net holds decades of global B2B trade relationships and supplier capabilities. Extracting structured intelligence from millions of unstandardised mini-sites requires dedicated infrastructure."
Most teams underestimate the complexity of global B2B directories. Reliable Ecplaza scraping requires handling custom supplier storefronts, standardising free-text pricing, and traversing deep category trees without triggering rate limits. DataFlirt absorbs that complexity so your engineers can focus on procurement analytics instead of infrastructure maintenance.
Everything supported by our ecplaza.net 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. We map Ecplaza's massive category tree and distribute the crawl across concurrent workers.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to prevent IP bans from Ecplaza's security layers.
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 ecplaza.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available supplier directories and trade leads is generally permissible. DataFlirt targets only public, non-authenticated B2B data. We do not extract private messaging or circumvent authentication walls.
Suppliers on Ecplaza often have customised storefronts with varying DOM structures. We build heuristic extraction rules and fallback chains to standardise product and company data across all template types.
We extract contact information visible on the public profile pages, which typically includes registered addresses, phone numbers, and representative names. Hidden emails requiring CAPTCHA or login are not extracted.
We configure pipelines to monitor the latest buying and selling offers on a daily or hourly cadence, capturing new leads as soon as they are posted.
Yes. Global suppliers input pricing and units in various free-text formats. Our pipeline parses these strings into structured numeric fields and standard unit types for downstream analysis.
Our smallest packages start at a defined category scope with weekly delivery. For full-site extraction, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off supplier directory export or a continuous feed of global trade leads, we scope, build, and operate the pipeline. Tell us what you need.
