We extract parametric specifications, volume pricing tiers, real-time stock levels, and compliance data from TME.eu. 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 Component Listings objects from tme.eu. All fields typed and schema-versioned.
"tme_symbol": "NE555P", "manufacturer": "TEXAS INSTRUMENTS", "manufacturer_part_number": "NE555P", "category_path": "Semiconductors > Integrated Circuits > Timers", "rohs_status": "Compliant", "lifecycle_status": "Active", "datasheet_url": "https://www.tme.eu/Document/ne555p.pdf"
| # | tme_symbol | manufacturer | manufacturer_part_number | description | category_path | rohs_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tiered Pricing objects from tme.eu. All fields typed and schema-versioned.
"tme_symbol": "NE555P", "currency": "EUR", "qty_tier_1": 1, "price_tier_1": 0.45, "qty_tier_2": 10, "price_tier_2": 0.38, "qty_tier_3": 100, "price_tier_3": 0.29, "vat_rate": 23.0
| # | tme_symbol | currency | qty_tier_1 | price_tier_1 | qty_tier_2 | price_tier_2 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Parametric Specs objects from tme.eu. All fields typed and schema-versioned.
"tme_symbol": "CC0805KRX7R9BB104", "parameter_name": "Capacitance", "parameter_value": "100", "parameter_unit": "nF", "mounting_type": "SMD", "package_case": "0805", "tolerance": "10%", "voltage_rating": "50V"
| # | tme_symbol | parameter_name | parameter_value | parameter_unit | mounting_type | package_case |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Stock & Logistics objects from tme.eu. All fields typed and schema-versioned.
"tme_symbol": "NE555P", "warehouse_stock": 14500, "dispatch_time": "24h", "min_order_qty": 1, "standard_pack_qty": 50, "weight_g": 1.2, "tariff_number": "85423990", "country_of_origin": "MY"
| # | tme_symbol | warehouse_stock | dispatch_time | min_order_qty | standard_pack_qty | weight_g |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Alternatives & Accessories objects from tme.eu. All fields typed and schema-versioned.
"tme_symbol": "NE555P", "alternative_symbols": "['LM555CN', 'SA555P']", "accessory_symbols": "['DIP8-SOCKET']", "cross_reference_type": "Drop-in replacement", "scraped_at": "2026-05-12T09:14:33Z", "mating_connector_symbols": "[]"
| # | tme_symbol | alternative_symbols | accessory_symbols | mating_connector_symbols | related_tools | manufacturer_aliases |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our TME scraper handles the entire component catalogue: deep parametric filtering, dynamic tiered pricing, real-time stock indicators, and compliance documentation.
Manufacturer part numbers, descriptions, high-resolution images, and lifecycle status extracted across all product categories.
Extract volume discount tables, currency handling, and VAT rates based on specific regional settings.
Monitor warehouse inventory levels, dispatch estimates, standard pack quantities, and minimum order requirements.
Extract and normalise technical parameters like capacitance, resistance, tolerance, and operating temperature.
Capture RoHS status, REACH compliance, tariff numbers, and country of origin for import/export compliance.
Extract direct PDF URLs mapped to manufacturer part numbers for automated document retrieval.
Identify drop-in replacements, alternative components, and required accessories linked by TME.
Navigate deeply nested taxonomy across passive components, semiconductors, connectors, and automation equipment.
Configure extraction for specific European markets to capture accurate regional pricing and stock availability.
Brief in. Clean data out.
Provide MPN lists, category URLs, keyword sets, or manufacturer filters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and anti-bot handling for tme.eu.
Schema validation, null-rate checks, price-outlier detection, and sample component data before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
B2B component distributors use complex category structures and strict bot protection. Here is how we extract data reliably.
TME employs strict rate limiting and bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to maintain access.
Volume pricing on TME is rendered dynamically based on user session and region. We parse these complex table structures into flat, queryable JSON arrays, capturing every quantity tier and corresponding unit price.
Component specifications often mix units (e.g., 100nF vs 0.1uF). We extract the raw string exactly as presented by TME, allowing your downstream engineering teams to apply consistent conversion logic.
For large component catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs. This reduces compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops. We respond before you notice.
Electronics manufacturers monitor warehouse stock levels and lead times to prevent production line stoppages.
Distributors track volume pricing tiers across the TME catalogue to adjust their own B2B pricing strategies.
Engineering teams automate BOM cost estimation by querying real-time component prices and minimum order quantities.
Procurement teams build internal databases of alternative parts and drop-in replacements to mitigate supply chain risks.
Component manufacturers track their product visibility, stock depth, and pricing positioning against competitors on the TME platform.
ERP systems ingest daily pricing and availability feeds to automatically trigger purchase orders when stock hits critical thresholds.
"TME houses one of the most comprehensive electronic component catalogues in Europe, but extracting structured parametric data requires overcoming complex dynamic tables and strict anti-bot measures."
Most teams underestimate the investment required: reliable TME extraction requires handling deeply nested category trees, parsing dynamic volume pricing tables, managing residential proxies, and extracting thousands of technical parameters. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our tme.eu 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. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 tme.eu scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from TME is generally permissible under applicable law. DataFlirt targets only public, non-authenticated component, pricing, and stock data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for rate limit spikes in real time and trigger pool rotation automatically.
Yes. We parse the dynamic pricing tables on TME product pages, extracting every quantity tier and its associated unit price, along with the specified currency and VAT rate.
We extract the raw parameter strings exactly as presented by TME. We provide structured key-value pairs (e.g., 'Capacitance': '100nF'), leaving complex unit conversion logic to your downstream systems.
Real-time streaming pipelines achieve sub-60-minute latency for stock availability signals on a defined MPN set. Full catalogue refreshes typically run at a daily cadence.
Absolutely. We provide a sample run of up to 500 components or specific category pages as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off component catalogue dump or a continuous price-monitoring feed across 1M parts - we scope, build, and operate the pipeline. Tell us what you need.
