We extract MPNs, parametric specifications, tiered pricing, compliance documents, and stock depth from Distrelec. 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 distrelec.com. All fields typed and schema-versioned.
"distrelec_article_number": "301-83-294", "mpn": "CRG0603F10K", "manufacturer": "TE Connectivity", "price": 0.012, "currency": "EUR", "stock_level": 45000, "rohs_compliant": true
| # | distrelec_article_number | mpn | ean | title | manufacturer | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Tiered Pricing objects from distrelec.com. All fields typed and schema-versioned.
"distrelec_article_number": "301-83-294", "mpn": "CRG0603F10K", "tier_1_qty": 100, "tier_1_price": 0.015, "tier_2_qty": 1000, "tier_2_price": 0.012, "currency": "EUR"
| # | distrelec_article_number | mpn | tier_1_qty | tier_1_price | tier_2_qty | tier_2_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from distrelec.com. All fields typed and schema-versioned.
"distrelec_article_number": "301-83-294", "attribute_name": "Resistance", "attribute_value": "10", "unit": "kOhm", "tolerance": "1%", "package_type": "0603", "operating_temperature_max": "155 C"
| # | distrelec_article_number | attribute_name | attribute_value | unit | tolerance | mounting_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Availability & Logistics objects from distrelec.com. All fields typed and schema-versioned.
"distrelec_article_number": "301-83-294", "in_stock": true, "stock_qty": 45000, "lead_time_days": 1, "minimum_order_qty": 100, "order_multiple": 100, "weight_kg": 0.001
| # | distrelec_article_number | in_stock | stock_qty | warehouse_location | lead_time_days | minimum_order_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Compliance & Documents objects from distrelec.com. All fields typed and schema-versioned.
"distrelec_article_number": "301-83-294", "mpn": "CRG0603F10K", "rohs_status": "Compliant", "reach_status": "Unaffected", "datasheet_url": "https://www.distrelec.com/Web/Downloads/...", "country_of_origin": "CN"
| # | distrelec_article_number | mpn | rohs_status | reach_status | svhc_review_date | datasheet_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Distrelec scraper handles every layer of the platform: component listings, dynamic tiered pricing, stock depth across warehouses, and deep parametric tables with JavaScript rendering and anti-bot circumvention built in.
MPN, EAN, Distrelec article numbers, titles, manufacturer details, and category taxonomy scraped at the individual component level.
Extract complex volume pricing arrays, tracking exact price breaks for 100, 1000, or 10000 unit order quantities.
Parse irregular technical specification tables into clean key-value pairs for resistance, capacitance, tolerances, and mounting types.
Monitor real-time inventory levels, factory lead times, minimum order quantities (MOQ), and order multiples.
Capture direct URLs for manufacturer datasheets, CAD models, and environmental compliance certificates.
Scrape localised pricing and stock data from distrelec.de, distrelec.ch, distrelec.it, and other regional domains.
Extract RoHS compliance status, REACH SVHC declarations, and country of origin for regulatory reporting.
Capture Distrelec suggested alternative components and direct substitutes for end-of-life (EOL) parts.
Run one-off bulk catalogue exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide MPN lists, category URLs, or manufacturer names. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for distrelec.com.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Distrelec uses strict bot protection and complex frontend rendering. Here is how we stay resilient and deliver structured MRO data.
Distrelec employs edge protection networks that block standard datacenter IPs. Our crawlers use European residential ISP proxies with realistic browser fingerprints and full cookie session management to bypass WAF blocks.
Pricing and stock levels are heavily JavaScript-rendered based on the selected region and user session. We run full Playwright browser sessions to trigger API calls and hydrate the DOM before extraction.
The Distrelec catalogue spans massive category trees. Our crawling strategy maps the entire taxonomy graph first, ensuring no nested sub-categories or paginated component lists are dropped during the run.
Technical specifications vary wildly between a capacitor and an oscilloscope. We use dynamic key-value parsing to extract parametric tables regardless of the component type, ensuring a normalised output schema.
For large component catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs for price or stock changes, reducing compute cost and downstream processing load.
Electronic component distributors monitor Distrelec pricing tiers to adjust their own margins and stay competitive.
Manufacturing teams ingest tiered pricing data to automate Bill of Materials costing and optimise order quantities.
Procurement teams track stock depth and factory lead times across critical components to predict shortages.
Smaller distributors scrape parametric data and datasheet links to enrich their own eCommerce platforms.
Analysts track new manufacturer product introductions and category expansion within the Distrelec catalogue.
ERP systems ingest real-time stock and pricing feeds to automate purchase order generation for MRO supplies.
"Distrelec holds critical supply chain intelligence for European manufacturing, but parsing their parametric tables at scale requires dedicated infrastructure."
Most teams underestimate the investment required: reliable Distrelec scraping requires residential proxies, full JavaScript rendering for regional pricing, deep taxonomy traversal, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers focus on analysis, not pipeline maintenance.
Everything supported by our distrelec.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 crawl orchestration and retry logic. Playwright handles JavaScript rendering, cookie sessions, and region selection flows.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request with sticky sessions where required to maintain regional context.
Pipelines run on AWS Lambda and ECS. 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 distrelec.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information from Distrelec is generally permissible for competitive analysis and market research. DataFlirt targets only public, non-authenticated product, pricing, and specification data. We do not extract personal data or circumvent authentication walls.
We use European residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for block rate spikes in real time and trigger pool rotation automatically.
We support all major European domains including distrelec.de, distrelec.ch, distrelec.it, distrelec.nl, and distrelec.biz, capturing localised pricing, currency, and warehouse stock levels.
Full catalogue refreshes at daily cadence complete within a 6 to 12 hour window. For specific high-priority MPN lists, we can configure intraday streaming pipelines to capture rapid stock changes.
Yes. We extract the direct URLs for manufacturer datasheets, CAD models, and compliance certificates. We can also configure the pipeline to download these files directly to your S3 bucket.
Our packages start at a defined MPN list or specific category nodes with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 1,000 components as part of the pre-engagement scoping process so you can validate schema fit and parametric data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 1M components — we scope, build, and operate the pipeline. Tell us what you need.
