We extract MPNs, volume pricing tiers, parametric specifications, and stock availability from DigiKey. 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 Product Overview objects from digikey.com. All fields typed and schema-versioned.
"digikey_part_number": "296-39005-1-ND", "manufacturer_part_number": "NE555DR", "manufacturer": "Texas Instruments", "description": "IC OSC SINGLE TIMER 100KHZ 8-SOIC", "product_status": "Active", "rohs_status": "ROHS3 Compliant"
| # | digikey_part_number | manufacturer_part_number | manufacturer | description | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from digikey.com. All fields typed and schema-versioned.
"digikey_part_number": "296-39005-1-ND", "unit_price": 0.46, "minimum_order_quantity": 1, "quantity_available": 145920, "factory_lead_time": "6 Weeks", "packaging": "Cut Tape (CT)"
| # | digikey_part_number | unit_price | pricing_tiers | minimum_order_quantity | quantity_available | factory_lead_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Parametric Specs objects from digikey.com. All fields typed and schema-versioned.
"type": "555 Type, Timer/Oscillator (Single)", "frequency": "100kHz", "voltage_supply": "4.5V ~ 16V", "current_supply": "10mA", "operating_temperature": "0°C ~ 70°C", "mounting_type": "Surface Mount"
| # | digikey_part_number | type | frequency | voltage_supply | current_supply | operating_temperature |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Documents & Media objects from digikey.com. All fields typed and schema-versioned.
"datasheet_url": "https://www.ti.com/lit/ds/symlink/ne555.pdf", "image_url": "https://media.digikey.com/Photos/Texas%20Instruments%20Photos/8-SOIC.jpg", "eda_cad_models": "Available", "pcns": "Multiple", "rohs_certificate": "Available", "product_training_modules": "None"
| # | digikey_part_number | datasheet_url | image_url | eda_cad_models | product_training_modules | featured_videos |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Cross-References objects from digikey.com. All fields typed and schema-versioned.
"substitute_part_number": "LM555CMX/NOPB", "substitute_manufacturer": "Texas Instruments", "substitute_type": "Direct", "pin_compatibility": "Yes", "functional_compatibility": "Yes", "package_compatibility": "Yes"
| # | digikey_part_number | substitute_part_number | substitute_manufacturer | substitute_type | reason_for_substitution | pin_compatibility |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our DigiKey scraper parses complex parametric tables, deeply nested category structures, and dynamic volume pricing. We handle the anti-bot friction so you get clean component data.
Extract manufacturer part numbers, DigiKey part numbers, and full descriptions across all 11 million active components.
Capture exact unit prices across all quantity break tiers. Track pricing fluctuations and currency variations.
Monitor exact quantity available, factory stock, and manufacturer lead times to predict supply chain bottlenecks.
Parse complex HTML tables containing voltage, tolerance, packaging, and temperature ratings into structured key-value pairs.
Extract direct URLs for PDF datasheets, EDA/CAD models, and product training modules for automated ingestion.
Track RoHS, REACH, and Moisture Sensitivity Level (MSL) status for regulatory compliance auditing.
Extract direct drop-in replacements and similar parts to build internal alternate-sourcing databases.
Differentiate between Cut Tape, Tape & Reel, and Tube packaging variants for the same base MPN.
Configure pipelines to track stock and price changes on critical BOM components at hourly intervals.
Brief in. Clean data out.
Provide specific MPNs, category URLs, or manufacturer names. We map the required parametric fields.
We configure Scrapy crawlers, residential proxy rotation, and Akamai bypass mechanisms for digikey.com.
Schema validation, null-rate checks on pricing tiers, and parametric table normalisation.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
DigiKey uses aggressive bot protection and complex dynamic tables. Here is how we maintain data flow.
DigiKey uses Akamai to block automated traffic. We route requests through residential proxies and spoof TLS fingerprints to match legitimate browser profiles, ensuring uninterrupted access to component pages.
Electronic component specs vary wildly by category. A capacitor has capacitance and tolerance; a microcontroller has core size and speed. We normalise these dynamic HTML tables into consistent JSON key-value pairs.
Volume pricing tables are often rendered client-side based on user location and currency. We use Playwright to execute JavaScript and extract the full pricing matrix exactly as a human user would see it.
DigiKey categories contain hundreds of thousands of parts split across complex paginated views. Our crawlers maintain state and traverse these structures without missing records or getting trapped in infinite loops.
For supply chain monitoring, we index previous stock levels and only emit records when inventory drops or prices shift. This reduces data warehouse bloat while providing precise delta feeds.
Hardware manufacturers track factory lead times and stock levels to predict component shortages before they impact production.
Procurement teams monitor volume pricing tiers across millions of MPNs to optimise purchasing schedules and reduce build costs.
Electronic distributors scrape DigiKey pricing and availability to adjust their own marketplace positioning.
Engineering portals ingest structured component specifications to power internal CAD and EDA search tools.
Product teams track component obsolescence and PCN flags to design out end-of-life parts.
Quality assurance teams extract RoHS and REACH statuses en masse to verify regulatory compliance across complete product BOMs.
"DigiKey holds the definitive taxonomy of electronic components. Extracting this data transforms reactive procurement into predictive supply chain intelligence."
Parsing millions of electronic components requires more than simple HTTP requests. It demands residential proxies to bypass Akamai, headless browsers to render dynamic pricing tiers, and complex normalisation logic to turn chaotic parametric tables into queryable warehouse records. DataFlirt manages this entire infrastructure.
Everything supported by our digikey.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 concurrent crawling and deduplication. Playwright executes JavaScript to render complex volume pricing tables and dynamic stock indicators.
We route requests through ISP-grade residential proxies to bypass Akamai WAF blocks, ensuring high-throughput extraction without IP bans.
Pipelines execute on Kubernetes clusters. Airflow manages scheduling and retry logic. Prometheus and Grafana provide real-time observability.
Data delivered to where your team already works — no new tooling required.
About digikey.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public factual data like component specifications and retail pricing is generally permissible. We target unauthenticated, publicly visible pages and use rate-limiting to avoid degrading site performance. Clients must review their own use cases against DigiKey terms of service.
We utilise high-quality residential proxies, TLS fingerprint spoofing, and headless browser sessions to mimic legitimate user behaviour. This prevents our crawlers from triggering Akamai security challenges.
Yes. We capture the complete volume pricing matrix for every component, including unit price, minimum order quantity, and extended price breaks.
DigiKey uses different specifications for different component categories. We extract these dynamic tables and map them into flexible JSON objects, allowing you to query across diverse component types in your data warehouse.
Yes. You can provide a specific list of Manufacturer Part Numbers (MPNs). We configure a pipeline to poll these URLs at high frequency and trigger webhooks when stock drops below your defined threshold.
We extract the direct URLs to the datasheets and CAD models. If you require the physical files, we can configure a secondary pipeline to download and push these assets directly to your S3 bucket.
DigiKey lists over 11 million active parts. A full catalogue extraction typically takes 7 to 14 days depending on concurrency limits. We recommend targeted crawls based on specific categories or MPN lists for faster turnaround.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manual BOM lookups. Whether you need a one-time export of 50,000 microcontrollers or a daily feed of pricing changes across your entire supply chain, we build the infrastructure. Tell us what you need.
