SYSTEM all green source eworldtrade.com queue 12,492 profiles p99 latency 184ms dataflirt.com · scraper/eworldtrade-com
RUN · 64 active pipelines · eworldtrade.com live

B2B supplier data,
at warehouse scale.

We extract manufacturer profiles, product specifications, trade certifications, and company intelligence from Eworldtrade. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Suppliers extracted
842K /month
Product listings
4.1M /run
Company updates
114K /24h
Active pipelines
64
Uptime
99.94%
Data Dictionary

Every field we extract from eworldtrade.com

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 eworldtrade.com. All fields typed and schema-versioned.

company_idcompany_namebusiness_typeyear_establishedmain_productscountrycityemployee_countcertificationstrust_scoreprofile_url
supplier_profiles
● 200 OK
"company_id": "EWT-8849201",
"company_name": "Apex Industrial Manufacturing Ltd.",
"business_type": "Manufacturer, Trading Company",
"year_established": 2008,
"country": "China",
"employee_count": "501 - 1000",
"trust_score": 8.4,
"certifications": "['ISO 9001', 'CE']"
# company_idcompany_namebusiness_typeyear_establishedmain_productscountry
1
2
3

Complete list of extractable fields for Product Listings objects from eworldtrade.com. All fields typed and schema-versioned.

product_idtitlecategorysub_categorysupplier_namemin_order_quantityfob_price_minfob_price_maxspecificationsimage_urlsproduct_url
product_listings
● 200 OK
"product_id": "PRD-492811",
"title": "Industrial Grade Hydraulic Pump 5000 PSI",
"category": "Machinery",
"sub_category": "Pumps & Parts",
"supplier_name": "Apex Industrial Manufacturing Ltd.",
"min_order_quantity": 50,
"fob_price_min": 120.0,
"fob_price_max": 150.0
# product_idtitlecategorysub_categorysupplier_namemin_order_quantity
1
2
3

Complete list of extractable fields for Company Intelligence objects from eworldtrade.com. All fields typed and schema-versioned.

company_idtotal_revenueexport_percentagemain_marketsfactory_size_sqmrnd_staffproduction_linesqc_stafftrade_capacityresponse_rate
company_intelligence
● 200 OK
"company_id": "EWT-8849201",
"total_revenue": "US$10 Million - US$50 Million",
"export_percentage": 85,
"main_markets": "['North America', 'Western Europe', 'Southeast Asia']",
"factory_size_sqm": "10,000 - 30,000 square meters",
"rnd_staff": "11 - 20 People",
"production_lines": 8,
"response_rate": 94.2
# company_idtotal_revenueexport_percentagemain_marketsfactory_size_sqmrnd_staff
1
2
3

Complete list of extractable fields for Trade Shows objects from eworldtrade.com. All fields typed and schema-versioned.

event_idevent_nameevent_date_startevent_date_endlocationexhibitor_namebooth_numberproduct_focuswebsiteevent_url
trade_shows
● 200 OK
"event_id": "TS-2026-091",
"event_name": "Global Industrial Machinery Expo",
"event_date_start": "2026-10-15",
"location": "Frankfurt, Germany",
"exhibitor_name": "Apex Industrial Manufacturing Ltd.",
"booth_number": "Hall 4, B12",
"product_focus": "Hydraulic Systems",
"website": "www.apex-industrial.example.com"
# event_idevent_nameevent_date_startevent_date_endlocationexhibitor_name
1
2
3

Complete list of extractable fields for Buyer RFQs objects from eworldtrade.com. All fields typed and schema-versioned.

rfq_idproduct_requestedquantity_requiredbuyer_countrydate_postedexpiry_dateurgency_leveltarget_priceshipping_termsrfq_status
buyer_rfqs
● 200 OK
"rfq_id": "RFQ-992018",
"product_requested": "High-Pressure Hydraulic Valves",
"quantity_required": 5000,
"buyer_country": "United States",
"date_posted": "2026-05-10",
"expiry_date": "2026-06-10",
"urgency_level": "High",
"shipping_terms": "CIF"
# rfq_idproduct_requestedquantity_requiredbuyer_countrydate_postedexpiry_date
1
2
3

Capabilities

Everything you need from Eworldtrade — nothing you don't

Our Eworldtrade scraper handles every layer of the B2B directory: supplier profiles, product catalogues, trade certifications, and buyer RFQs — with JavaScript rendering, deep pagination, and anti-bot circumvention built in.

Full Supplier Profile Extraction

Company name, business type, year established, location, employee count, and main product categories — scraped across thousands of directory pages.

Product Catalogue Mapping

Extract product titles, category hierarchies, detailed specifications, and image URLs mapped directly to the parent supplier.

FOB Pricing & MOQ Data

Capture minimum order quantities, FOB price ranges, and payment terms for every product listing to build pricing intelligence models.

Trade Certification Tracking

Extract listed ISO certifications, CE marks, and trust scores to verify manufacturer credentials and assess counterparty risk.

Company Intelligence Metrics

Factory size, R&D staff count, production lines, export percentages, and main market distributions for deeper supply chain analysis.

Buyer RFQ Listings

Scrape public Request for Quotation data including product requirements, quantities, buyer locations, and urgency levels.

Trade Show & Exhibitor Data

Extract event details, locations, and exhibitor booth numbers to map offline industry presence.

Change Detection Diffing

Run continuous pipelines with hash-based diffing. Only receive records when a supplier updates their profile or adds new products.

Multi-Region Proxy Pools

Bypass regional blocks and rate limits using ISP-grade residential proxies distributed across global regions.

// engagement pipeline

From category list to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target categories, HS codes, country filters, or specific supplier lists. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for eworldtrade.com.

Validation & QA
d 4–6

Schema validation, null-rate checks, and sample profile exports before full launch.

Delivery
ongoing

JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.

Under the hood

How our Eworldtrade pipeline handles the hard parts

B2B directories deploy aggressive rate limiting and pagination traps. Here is how we stay resilient — and why teams choose managed infrastructure over DIY scripts.

pipeline-monitor · eworldtrade.com · live ● active
// fingerprinting
Identity rotation
TLS fingerprintrandomised
User-agentrotated
IP poolresidential
Challenges blocked0
// pagination
Page coverage
48,291 pages queued running
// observability
Pipeline health
99.9%
uptime
142ms
p99 lat
0.3%
null rate
2
alerts
Anti-bot layer
Residential proxy rotation + fingerprint spoofing

B2B platforms use Cloudflare and custom WAF rules to block scrapers. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full TLS spoofing to bypass these blocks.

Deep pagination
Traversal across massive category trees

Eworldtrade structures its data across thousands of nested sub-categories. We build recursive crawlers that map the entire taxonomy, ensuring no supplier is missed due to pagination limits or UI truncation.

JavaScript rendering
Playwright execution for dynamic content

Certain product specifications and supplier details load dynamically via client-side JavaScript. We run full Playwright browser sessions to trigger lazy-loading and hydration, capturing data that simple HTTP requests miss.

Change detection
Only re-scrape what has changed

For large supplier databases, we maintain a hash index of last-seen values per profile. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load.

Monitoring & alerting
24/7 pipeline health with anomaly detection

Every run emits structured logs to our observability stack. We alert on null-rate spikes, layout changes, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.

Applications

Who uses Eworldtrade data — and how

Teams across industries use eworldtrade.com data to build competitive products and smarter operations.

01
Supplier Sourcing & Procurement

Identify verified manufacturers and distributors based on production capacity, certifications, and location to diversify supply chains.

02
B2B Market Research

Analyze product trends, aggregate FOB pricing ranges, and map global supply chain distributions across specific industrial verticals.

03
Competitor Intelligence

Track competitor product lines, pricing strategies, and target export markets through public supplier data and catalog updates.

04
Lead Generation

Extract exhibitor lists and company profiles to enrich B2B sales pipelines with targeted manufacturing and wholesale leads.

05
Risk Management

Verify supplier credentials, years in operation, and listed trade certifications to assess counterparty risk before engagement.

06
AI Training Data

Feed structured industrial product specifications, categorisation hierarchies, and B2B company descriptions into industry-specific LLMs.

Why DataFlirt

"Eworldtrade holds a massive repository of global manufacturing and supply chain data, but extracting structured supplier intelligence at scale requires dedicated infrastructure."

Most teams underestimate the complexity of scraping B2B directories. Reliable extraction from Eworldtrade requires residential proxies, full JavaScript rendering for dynamic content, deep pagination handling, and anomaly monitoring. DataFlirt absorbs that complexity so your procurement and data teams can focus on analysis, not infrastructure maintenance.

Technical Spec

Eworldtrade scraper — technical capabilities

Everything supported by our eworldtrade.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.

JavaScript rendering
Full Playwright sessions — required for dynamic product specifications and lazy-loaded elements
Supported
CAPTCHA bypass
Automated CapSolver integration to clear Cloudflare challenges and rate-limit walls
Supported
Residential proxy rotation
ISP-grade residential IPs rotated per request to avoid IP bans during deep category crawls
Supported
Recursive category traversal
Automated discovery of nested sub-categories to ensure complete catalog coverage
Supported
Change detection (diffs)
Hash-based diff: only emit records with changed fields since the last pipeline run
Supported
Webhook delivery
HTTP POST per record or batch — useful for real-time lead ingestion
Supported
Direct contact details
Direct email addresses and phone numbers hidden behind premium membership walls
Partial
Private RFQ messaging
Internal buyer-supplier message threads require account authentication
Partial
File attachment parsing
Extraction of embedded PDF product manuals or ISO certificate images
Partial
Infrastructure

Infrastructure powering the Eworldtrade pipeline

Open-source tooling on proven cloud infra — no vendor lock-in, full observability.

ScrapyPlaywrightPython 3.12RedisPostgreSQLApache AirflowAWS LambdaS3CloudWatch2CaptchaCapSolverResidential ProxiesDockerKubernetesGrafanaPrometheus
Scrapy + Playwright Stack

Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.

Residential Proxy Infrastructure

We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.

Cloud-Native Orchestration

Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.

Output & Delivery

Your data, your destination

Data delivered to where your team already works — no new tooling required.

JSON
Newline-delimited or nested — schema versioned per run
CSV
Flat file with typed columns — Excel/Sheets compatible
XLS
Standard Excel format for business analysts
Parquet
Columnar format for BigQuery, Snowflake, Athena
AWS S3
Direct bucket delivery — compatible with any data lake
Webhook
HTTP POST per record for real-time downstream processing
API
REST endpoints to query your extracted datasets
PostgreSQL
Upsert into your existing schema with conflict resolution
Snowflake
Stage + COPY INTO workflow — incremental or full-replace
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

About eworldtrade.com scraping, legality, and pipeline operations.

Ask us directly →
Is scraping Eworldtrade legal?

Scraping publicly available information from Eworldtrade is generally permissible under applicable law. DataFlirt targets only public, non-authenticated supplier profiles, product data, and public RFQs. We do not bypass authentication walls to access private contact details or internal messages.

How do you handle Eworldtrade's anti-bot systems?

We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.

How fresh is the data?

We typically run B2B directory pipelines on a weekly or monthly cadence depending on your requirements. Full category refreshes complete within a 12-24 hour window depending on the requested volume.

Can you extract MOQ and pricing data?

Yes. We extract the public Minimum Order Quantity (MOQ) and FOB price ranges listed on the product pages. Note that exact negotiated pricing is not publicly visible and cannot be scraped.

Do you extract direct email addresses and phone numbers?

No. Eworldtrade often hides direct contact information behind premium membership walls or requires users to submit a contact form. We only scrape data that is freely visible to unauthenticated users.

What is the minimum viable engagement?

Our smallest packages start at a defined category list or search term set (typically yielding 10,000-50,000 supplier profiles) with monthly delivery. Contact us with your use case for a scoped quote.

Can I request a sample dataset before committing?

Absolutely. We provide a sample run of up to 500 supplier profiles or product listings as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality.

$ dataflirt scope --new-project --source=eworldtrade.com ready

Tell us what
to extract.
We do the rest.

20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off supplier directory dump or a continuous product-monitoring feed across specific industrial categories — we scope, build, and operate the pipeline. Tell us what you need.

hello@dataflirt.com · Bengaluru · IST · typical reply < 4h
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