SYSTEM all green source juki.com queue 11,402 pages p99 latency 184ms dataflirt.com · scraper/juki-com
RUN * 14 active pipelines * juki.com live

Juki machine data,
at warehouse scale.

We extract industrial machinery specs, SMT equipment details, parts catalogues, and dealer locations from Juki. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.

Machines extracted
4,192 /run
Parts catalogued
82.3K /run
Dealer nodes
3,418 /run
Active pipelines
14
Uptime
99.98%
Data Dictionary

Every field we extract from juki.com

Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.

Complete list of extractable fields for Industrial Sewing Machines objects from juki.com. All fields typed and schema-versioned.

model_numbercategorysub_categoryapplicationmax_sewing_speedmax_stitch_lengthpresser_foot_liftneedle_typemotor_typeweight_kgdimensions_mmpage_url
industrial_sewing machines
● 200 OK
"model_number": "DDL-9000C",
"category": "1-needle, Lockstitch Machine",
"application": "Medium-weight",
"max_sewing_speed": 5000,
"max_stitch_length": 5.0,
"presser_foot_lift": "15mm",
"needle_type": "DBx1 (#11)",
"motor_type": "Direct-drive AC servomotor"
# model_numbercategorysub_categoryapplicationmax_sewing_speedmax_stitch_length
1
2
3

Complete list of extractable fields for SMT Systems objects from juki.com. All fields typed and schema-versioned.

model_namemachine_typeplacement_speed_cphcomponent_size_mincomponent_size_maxpcb_size_maxfeeder_capacitypower_requirementair_consumptionweight_kgdimensions_mm
smt_systems
● 200 OK
"model_name": "RS-1R",
"machine_type": "Mounter",
"placement_speed_cph": 47000,
"component_size_min": "0201 metric",
"pcb_size_max": "650 x 370 mm",
"feeder_capacity": 112,
"air_consumption": "50 L/min",
"weight_kg": 1700
# model_namemachine_typeplacement_speed_cphcomponent_size_mincomponent_size_maxpcb_size_max
1
2
3

Complete list of extractable fields for Parts Catalogue objects from juki.com. All fields typed and schema-versioned.

part_numberpart_namecompatible_modelscategoryassembly_diagram_refmaterialweight_greplacement_intervallist_pricecurrency
parts_catalogue
● 200 OK
"part_number": "401-12034",
"part_name": "Throat Plate",
"compatible_models": "['DDL-9000C', 'DDL-8700']",
"category": "Stitch Components",
"assembly_diagram_ref": "Fig 12. #4",
"weight_g": 45,
"material": "Steel",
"replacement_interval": "12 months"
# part_numberpart_namecompatible_modelscategoryassembly_diagram_refmaterial
1
2
3

Complete list of extractable fields for Dealer Network objects from juki.com. All fields typed and schema-versioned.

dealer_idnameregioncountryaddresslatitudelongitudephoneemailwebsiteauthorized_categoriesservice_center_status
dealer_network
● 200 OK
"dealer_id": "DLR-IN-442",
"name": "Texmaco Industrial Solutions",
"country": "India",
"address": "Peenya Industrial Area, Bengaluru",
"latitude": 13.0285,
"longitude": 77.5197,
"authorized_categories": "['Industrial Sewing', 'Household']",
"service_center_status": true
# dealer_idnameregioncountryaddresslatitude
1
2
3

Complete list of extractable fields for Support Manuals objects from juki.com. All fields typed and schema-versioned.

document_idmodel_referencedocument_typelanguagepage_countfile_size_mbrevision_datedownload_urlmd5_hash
support_manuals
● 200 OK
"document_id": "MNL-9000C-EN-02",
"model_reference": "DDL-9000C",
"document_type": "Instruction Manual",
"language": "English",
"page_count": 124,
"file_size_mb": 14.2,
"revision_date": "2024-02-15",
"download_url": "https://juki.com/downloads/..."
# document_idmodel_referencedocument_typelanguagepage_countfile_size_mb
1
2
3

Capabilities

Everything you need from Juki - nothing you do not

Our Juki scraper handles every layer of the manufacturer portal: industrial sewing specifications, SMT placement system data, spare parts catalogues, and global dealer directories.

Industrial Sewing Extraction

Capture model numbers, maximum speeds, stitch lengths, motor types, and physical dimensions for the entire industrial catalogue.

SMT Placement Systems

Extract placement speeds (CPH), component size limits, feeder capacities, and PCB dimensions for Juki's electronics assembly division.

Parts Catalogue Mapping

Scrape part numbers, descriptions, and compatibility matrices linking individual components to parent machine models.

Dealer Network Mining

Extract authorised dealer names, addresses, coordinates, and service capabilities from the JavaScript-rendered global locator map.

Manual & PDF Metadata

Index support documentation metadata including revision dates, languages, file sizes, and direct download URLs.

Home Sewing Models

Capture specifications for domestic machines, including built-in stitch counts, buttonhole styles, and threading mechanisms.

Multi-Region Normalisation

Aggregate data across Juki's regional domains (Americas, Europe, Asia) into a single unified schema.

Legacy Model Archiving

Extract specifications for discontinued models from historical support pages for secondary market valuation.

Scheduled Execution

Run continuous pipelines at monthly or quarterly cadences to detect new product launches and dealer network changes.

// engagement pipeline

From product category to warehouse record

Brief in. Clean data out.

Define Scope
d 0

Provide target categories (SMT, Industrial, Home) or regions. We design the extraction schema together.

Pipeline Build
d 2–4

We configure Scrapy crawlers, handle region redirects, and map the specification tables across Juki's domains.

Validation & QA
d 4–6

Schema validation, unit normalisation (metric vs imperial), and cross-reference checks between parts and models.

Delivery
ongoing

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

Under the hood

How our Juki pipeline handles the hard parts

Extracting B2B manufacturing data requires handling fragmented regional sites and complex technical specifications. Here is how we maintain data integrity.

pipeline-monitor · juki.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
Data normalisation
Standardising technical units

Juki's regional sites often mix metric and imperial units (e.g., mm vs inches, kg vs lbs). Our pipeline includes a normalisation layer that converts all physical dimensions and weights into a unified metric standard before delivery.

JavaScript rendering
Extracting dealer maps

The global dealer locator relies on client-side rendering and map APIs. We use Playwright to execute the JavaScript, intercept the underlying XHR requests, and extract clean JSON coordinates and contact details.

Cross-referencing
Mapping parts to parent models

Spare parts data is often disconnected from main product pages. We scrape both datasets and build a relational mapping table, linking individual part numbers to all compatible machine models.

Multi-region handling
Navigating regional redirects

Juki operates separate domains for the Americas, Europe, and Asia. Our crawlers manage geolocation headers and proxy routing to prevent forced redirects, ensuring complete global catalogue coverage.

Change detection
Only re-scrape what has changed

For large parts catalogues, we maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.

Applications

Who uses Juki data - and how

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

01
Competitor Benchmarking

Rival machinery manufacturers track Juki's technical specifications, placement speeds, and footprint dimensions to inform product development.

02
Secondary Market Valuation

Used equipment dealers archive legacy model specifications to appraise trade-ins and provide accurate details to buyers.

03
Supply Chain Integration

Textile factories integrate Juki parts catalogues into their procurement systems to automate spare parts ordering and inventory management.

04
Dealer Network Analysis

Market analysts map Juki's authorised service centres and dealers to understand geographic penetration and distribution strategies.

05
Maintenance Scheduling

Plant managers extract recommended replacement intervals and compatible part numbers to build automated maintenance schedules.

06
Industrial Automation Research

Analysts track the evolution of Juki's SMT placement speeds and component handling capabilities to forecast electronics manufacturing trends.

Why DataFlirt

"Juki's catalogue contains decades of industrial machinery specifications and parts data, but extracting it requires navigating complex category trees and legacy formats."

Extracting industrial equipment data requires more than simple HTTP GET requests. We handle JavaScript-rendered dealer maps, parse deeply nested parts diagrams, and normalise specifications across both SMT and sewing divisions. DataFlirt manages the extraction logic so your engineers can focus on building applications.

Technical Spec

Juki scraper - technical capabilities

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

JavaScript rendering
Playwright sessions for dealer locators and dynamic parts diagrams
Supported
Unit normalisation
Automated conversion of imperial to metric measurements
Supported
Multi-region routing
Bypass regional redirects to capture Americas, Europe, and Asia data
Supported
PDF metadata extraction
Capture document links, revision dates, and file sizes for manuals
Supported
Parts cross-referencing
Relational mapping between part numbers and compatible models
Supported
Change detection (diffs)
Hash-based diff: only emit records with changed fields since last run
Supported
Webhook delivery
HTTP POST per record or batch for downstream ingestion
Supported
Partner portal pricing
B2B wholesale pricing requires authenticated dealer credentials
Partial
Warranty claim history
Proprietary machine service records are gated behind customer logins
Partial
Proprietary firmware
Encrypted machine software updates are not extracted
Partial
Infrastructure

Infrastructure powering the Juki 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 and deduplication. Playwright handles JavaScript rendering for dealer maps and dynamic content. Combined via scrapy-playwright middleware.

Proxy Infrastructure

We maintain pools of datacenter and residential proxies to route requests through specific geographic regions, ensuring we capture localised product catalogues without forced redirects.

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
Formatted spreadsheet for non-technical teams
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 endpoint to query latest extracted records
PostgreSQL
Upsert into your existing schema with conflict resolution
BigQuery
Streamed directly into your dataset with schema auto-detect
Snowflake
Stage + COPY INTO workflow - incremental or full-replace
S3
Direct bucket delivery — compatible with any data lake
// faq

Common questions.

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

Ask us directly →
Is scraping Juki legal?

Scraping publicly available information from Juki is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product specifications, parts lists, and dealer directories. We do not extract personal data or circumvent authentication walls. Clients should review Juki's ToS and consult legal counsel for specific use cases.

How do you handle Juki's regional websites?

Juki operates different domains for different global regions. We configure our proxy routing and HTTP headers to prevent forced geo-redirects, allowing us to extract the specific catalogue for the Americas, Europe, or Asia as required.

Can you extract data for discontinued models?

Yes. We crawl historical support pages, manual archives, and legacy parts diagrams to reconstruct specifications for machines no longer listed in the active product catalogue.

How do you handle unit conversions?

Our pipeline includes a normalisation step that detects imperial units (inches, pounds) and converts them to standard metric units (millimetres, kilograms) based on your schema requirements.

Can you map spare parts to machine models?

Yes. We extract the compatibility matrices from parts catalogues and build relational tables linking individual part numbers to all parent machine models.

What is the minimum viable engagement?

Our smallest packages start at a defined category extraction (e.g., all SMT machines or all Industrial Sewing machines) with quarterly 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 100 machine models or parts records as part of the pre-engagement scoping process so you can validate schema fit and data quality.

$ dataflirt scope --new-project --source=juki.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 catalogue dump or continuous monitoring of parts and dealer networks, we scope, build, and operate the pipeline. Tell us what you need.

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

More in textile and fabric

Services

Data Extraction for Every Industry

View All Services →