We extract PLCs, HMIs, HVAC units, semiconductors, and discontinued product notices from Mitsubishi Electric. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Factory Automation objects from mitsubishielectric.com. All fields typed and schema-versioned.
"model_number": "FX5U-32MR/ES", "product_series": "MELSEC iQ-F", "rated_voltage": "100-240VAC", "input_points": 16, "output_points": 16, "discontinued_status": false
| # | model_number | product_series | category | sub_category | rated_voltage | input_points |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for HVAC Systems objects from mitsubishielectric.com. All fields typed and schema-versioned.
"model_number": "MSZ-LN25VG2", "unit_type": "Wall Mounted", "cooling_capacity_kw": 2.5, "heating_capacity_kw": 3.2, "refrigerant_type": "R32", "noise_level_db": 19
| # | model_number | unit_type | cooling_capacity_kw | heating_capacity_kw | power_supply | dimensions_mm |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Semiconductors objects from mitsubishielectric.com. All fields typed and schema-versioned.
"part_number": "CM400DY-24S", "module_type": "IGBT Module", "vces_voltage": 1200, "ic_current": 400, "package_type": "Dual", "rohs_compliant": true
| # | part_number | module_type | vces_voltage | ic_current | package_type | mounting_type |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Technical Documents objects from mitsubishielectric.com. All fields typed and schema-versioned.
"document_id": "JY997D55801", "model_number": "FX5U", "doc_type": "Hardware Manual", "language": "EN", "revision_date": "2025-11-01", "file_size_mb": 14.2
| # | document_id | model_number | doc_type | language | revision_date | file_size_mb |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Distributor Network objects from mitsubishielectric.com. All fields typed and schema-versioned.
"distributor_name": "Automation Solutions Inc.", "country": "USA", "latitude": 41.8781, "longitude": -87.6298, "authorized_categories": "['Factory Automation', 'Mechatronics']", "partner_tier": "Diamond"
| # | distributor_name | region | country | address | latitude | longitude |
|---|---|---|---|---|---|---|
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Our Mitsubishi Electric scraper handles complex product hierarchies, regional site variations, and PDF datasheet parsing to deliver clean specifications directly to your warehouse.
Extract deep parameters for MELSEC PLCs, GOT HMIs, and MR-J4 servos, including voltage, I/O counts, and memory capacities.
Capture cooling capacities, dimensions, weight, and refrigerant types for City Multi and M-Series units.
Extract tabular data embedded in technical manuals and installation guides, converting static PDFs into queryable JSON.
Scrape global partner directories for location coordinates, contact details, and authorised product categories.
Monitor end-of-life notices and extract the recommended replacement model numbers for preventative maintenance planning.
Track version histories, release notes, and compatibility matrices for GX Works and other engineering software.
Extract VCES voltages, IC currents, and package types for IGBT modules and power semiconductors.
Merge specifications across the US, European, and Japanese domains into a single, unified schema.
Capture metadata and download links for 2D/3D CAD files, STEP models, and dimensional drawings.
Run continuous pipelines that only emit records when specifications change or new models are introduced.
Brief in. Clean data out.
Provide target categories, such as MELSEC PLCs or City Multi HVACs, and specify the required data fields.
We configure Scrapy and Playwright crawlers for mitsubishielectric.com, handling regional redirects and complex configurators.
We perform null-rate checks on critical specifications like voltage, cooling capacity, and replacement models.
Clean JSON or CSV files pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on an agreed schedule.
Mitsubishi's product data is buried in regional sites, dynamic configurators, and PDF datasheets. We manage the extraction complexity.
Critical specifications are often locked inside PDF datasheets rather than HTML tables. Our pipeline includes OCR and PDF parsing layers that extract tabular data from hardware manuals and convert it into structured key-value pairs.
Many Mitsubishi products are built via dynamic configurators that generate specific part numbers based on user selections. We use full Playwright browser sessions to iterate through these configurators and capture all possible variations.
Mitsubishi Electric operates distinct regional domains with varying product availability and specification formats. We scrape multiple regional sites and normalise the data into a single, cohesive schema.
Industrial procurement relies on knowing when a part becomes obsolete. We actively monitor the discontinued products database to flag end-of-life status and map the exact replacement model numbers.
Corporate industrial sites frequently use edge protection to block automated traffic. We route requests through clean IP pools and manage browser fingerprints to ensure consistent access to technical catalogues.
Procurement teams maintain internal catalogues of PLCs, HMIs, and HVAC units to streamline purchasing and inventory management.
Product managers benchmark Mitsubishi specifications against competitors like Siemens or Daikin at scale.
Maintenance teams track discontinued parts and replacement models to plan preventative maintenance and avoid downtime.
Market analysts map the global footprint of Mitsubishi partners and authorised service centres.
Design teams populate internal CAD and PLM systems with accurate dimensional data and metadata from Mitsubishi components.
Service providers aggregate technical manuals, error codes, and firmware logs for field technicians.
"Mitsubishi Electric's technical catalogue holds critical parameters for global infrastructure, but the data is fragmented across PDFs, regional domains, and complex configurators."
Engineering and procurement teams waste thousands of hours manually copying specifications from datasheets. DataFlirt automates this extraction, parsing complex product hierarchies, extracting tables from manuals, and delivering structured MRO data directly into your ERP or PLM systems.
Everything supported by our mitsubishielectric.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 broad catalogue crawling, while Playwright executes dynamic product configurators and handles JavaScript-heavy regional site variations.
Custom Python parsing layers extract tabular specifications from technical manuals, converting static PDF data into structured JSON.
Pipelines run on AWS Lambda and ECS. Apache Airflow handles scheduling, dependency management, and delivery alerting.
Data delivered to where your team already works — no new tooling required.
About mitsubishielectric.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available technical specifications, manuals, and distributor locations is generally permissible. DataFlirt targets only public, non-authenticated product data. We do not bypass partner portals or extract proprietary licensed software. Clients should review Mitsubishi Electric's ToS and consult legal counsel for their specific use cases.
Our pipelines include a document parsing layer that downloads technical manuals, identifies specification tables, and extracts the data into structured JSON key-value pairs, linking the extracted data back to the parent model number.
Yes. Mitsubishi Electric has separate sites for the US, Europe, Asia, and Japan, often with different product naming conventions. We scrape the required regional domains and normalise the output into a single, unified schema.
Yes. We monitor the end-of-life and discontinued product databases, extracting the discontinuation date and mapping the manufacturer's recommended replacement model number.
For industrial catalogues, we typically run weekly or monthly full-catalogue refreshes. We can also configure targeted daily pipelines for specific product families or distributor directories.
Yes. We provide a sample extraction of up to 500 model numbers or specific product families during the scoping process, allowing you to validate the schema and PDF extraction quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of MELSEC PLCs or continuous monitoring of HVAC specs — we scope, build, and operate the pipeline. Tell us what you need.