We extract electronic component catalogues, technical specifications, tiered pricing, and stock levels from Reichelt. 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 Details objects from reichelt.de. All fields typed and schema-versioned.
"article_id": "NE555 DIP", "mpn": "NE 555 N", "ean": "4016138123456", "manufacturer": "Texas Instruments", "title": "Standard Timer, Single, 0 to 70°C, DIP-8", "category_path": "Active Components > Integrated Circuits > Linear ICs", "rohs_compliant": true, "weight_grams": 0.5
| # | article_id | mpn | ean | manufacturer | title | category_path |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from reichelt.de. All fields typed and schema-versioned.
"article_id": "NE555 DIP", "base_price": 0.18, "currency": "EUR", "tier_1_qty": 10, "tier_1_price": 0.15, "tier_2_qty": 100, "tier_2_price": 0.12, "stock_status": "In Stock", "delivery_time_days": "1-2"
| # | article_id | base_price | currency | tier_1_qty | tier_1_price | tier_2_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from reichelt.de. All fields typed and schema-versioned.
"article_id": "NE555 DIP", "spec_name": "Supply Voltage Max", "spec_value": "18 V", "package_type": "DIP-8", "mounting_type": "Through Hole", "operating_temp_min": "0 °C", "operating_temp_max": "70 °C", "tolerance": "N/A"
| # | article_id | spec_name | spec_value | tolerance | voltage_rating | package_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Docs objects from reichelt.de. All fields typed and schema-versioned.
"article_id": "NE555 DIP", "main_image_url": "https://cdn-reichelt.de/bilder/web/artikel_ws/A100/NE555_DIP.jpg", "gallery_urls": "['https://cdn-reichelt.de/bilder/web/artikel_ws/A100/NE555_DIP_02.jpg']", "datasheet_url": "https://cdn-reichelt.de/documents/datenblatt/A100/NE555_TI.pdf", "manual_url": "None", "safety_data_sheet": "None", "cad_model_url": "None", "cert_url": "https://cdn-reichelt.de/documents/zertifikat/rohs.pdf"
| # | article_id | main_image_url | gallery_urls | datasheet_url | manual_url | safety_data_sheet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from reichelt.de. All fields typed and schema-versioned.
"keyword": "timer ic", "position": 1, "article_id": "NE555 DIP", "title": "Standard Timer, Single, 0 to 70°C, DIP-8", "price": 0.18, "in_stock": true, "category_id": "C123", "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | article_id | title | price | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Reichelt scraper navigates deep category hierarchies, parses complex specification tables, and extracts multi-tier volume pricing across the entire component catalogue.
Extract MPNs, EANs, internal article IDs, and manufacturer details for every active component on the platform.
Capture volume discount brackets, base pricing, and currency data across all available quantity tiers.
Parse unstructured HTML specification tables into clean, queryable key-value pairs in your target schema.
Extract direct URLs for PDF datasheets, safety documents, and CAD models associated with each component.
Monitor inventory levels and regional delivery estimates to identify supply chain bottlenecks.
Capture regulatory flags and certification links required for hardware compliance auditing.
Map suggested alternative components and replacement parts when primary items go end-of-life.
Navigate deep electronic component taxonomies to ensure complete coverage of specific sub-categories.
Run daily diffs to detect price and stock changes without processing the entire static catalogue.
Brief in. Clean data out.
Provide MPN lists, category URLs, or search keywords. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and tabular data normalisation logic for reichelt.de.
Schema validation, null-rate checks, and unit normalisation testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Reichelt presents unique challenges with tabular specification data and strict rate limiting. Here is how our infrastructure processes it.
Reichelt caps deep category pagination. We bypass this limitation using targeted search queries, sub-category traversal, and dynamic filtering to ensure total catalogue capture.
Technical specs vary wildly between capacitors and microcontrollers. We normalise these arbitrary HTML tables into structured JSON objects with consistent keys.
B2B pricing and VAT toggles require strict session management. We maintain persistent cookie jars per crawl thread to ensure pricing reflects the correct taxation state.
Reichelt aggressively throttles high-velocity IPs. We distribute requests across residential German proxy pools, maintaining realistic request intervals.
Datasheets are often hidden behind JavaScript redirects or dynamic viewer applications. We resolve the final document URLs during the crawl phase.
Automate BOM pricing by mapping internal parts to Reichelt MPNs and calculating costs across volume tiers.
Track distributor margins, volume tier structures, and promotional pricing strategies.
Monitor stock depths and lead times for critical components to prevent manufacturing delays.
Enrich internal ERP systems with normalised technical specifications and high-resolution images.
Trigger purchasing alerts when stock drops below threshold or prices hit target levels.
Audit component lists for RoHS and REACH certification flags to ensure hardware compliance.
"Electronic component data is notoriously fragmented. We turn Reichelt's deep category trees and tabular specifications into queryable warehouse records."
Extracting component data requires more than simple HTTP GET requests. You need to parse complex specification tables, map manufacturer part numbers, resolve PDF datasheet redirects, and track multi-tier volume pricing across thousands of SKUs. DataFlirt handles the infrastructure so your procurement and engineering teams can focus on analysis.
Everything supported by our reichelt.de 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 deduplication. Playwright resolves JavaScript redirects for datasheets and manages stateful cookie sessions.
We maintain pools of residential German proxies to ensure accurate regional pricing and bypass strict rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About reichelt.de scraping, legality, and pipeline operations.
Ask us directly →Targeting public component data, specifications, and pricing is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not circumvent authentication walls or extract personal data.
We use German residential proxies, control concurrency levels, and implement request timing modelled on human behaviour to prevent IP bans.
Yes, we capture all quantity brackets and their associated prices, delivering them as a structured array or flattened columns depending on your schema requirements.
We extract the direct URLs to the PDFs by default. We can optionally download the files and host them on your S3 bucket as part of a custom pipeline.
We can configure hourly pipelines for critical MPN lists. Full catalogue refreshes typically run on a daily or weekly cadence.
Yes, tabular specification data is converted into queryable key-value pairs, normalising variations in attribute naming across different component categories.
Yes, we can take your internal part list containing EANs or MPNs, search the Reichelt catalogue, and return the corresponding article data and pricing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue sync or hourly stock monitoring for critical MPNs, we build and operate the pipeline. Tell us your requirements.
