We extract product specifications, pricing, stock availability, dealer locations, and firmware updates from Stages Cycling. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Power Meters objects from stages-cycling.com. All fields typed and schema-versioned.
"sku": "STG-LR-ULTEGRA-8100-172", "title": "Stages Power L/R Ultegra R8100", "crank_length_mm": 172.5, "power_accuracy_pct": 1.5, "battery_life_hours": 175, "price": 799.99, "currency": "USD", "in_stock": true, "connectivity": "ANT+, Bluetooth"
| # | sku | title | crank_length_mm | power_accuracy_pct | battery_life_hours | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Smart Bikes objects from stages-cycling.com. All fields typed and schema-versioned.
"sku": "SB20-SMART-BIKE", "title": "Stages SB20 Smart Bike", "max_power_watts": 2200, "weight_kg": 62.5, "price": 2499.0, "currency": "USD", "in_stock": false, "q_factor_mm": 157, "virtual_shifting": true
| # | sku | title | max_power_watts | drivetrain_type | weight_kg | dimensions_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Network objects from stages-cycling.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "name": "Boulder Cycle Sport", "city": "Boulder", "state": "CO", "country": "USA", "postal_code": "80304", "latitude": 40.0461, "longitude": -105.2813, "phone": "+1-303-444-2453"
| # | dealer_id | name | address_line_1 | city | state | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Refurbished Inventory objects from stages-cycling.com. All fields typed and schema-versioned.
"sku": "REF-STG-L-105-R7000-170", "title": "Factory Refurbished Stages Power L 105 R7000", "condition_grade": "A", "original_price": 329.99, "outlet_price": 249.99, "discount_pct": 24, "currency": "USD", "warranty_months": 12, "in_stock": true
| # | sku | title | condition_grade | original_price | outlet_price | discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Firmware Updates objects from stages-cycling.com. All fields typed and schema-versioned.
"device_model": "Stages Dash M200", "firmware_version": "3.2.1", "release_date": "2023-11-14", "bug_fixes": "['Resolved ANT+ dropout issue', 'Fixed elevation calibration']", "new_features": "['Added support for radar displays']", "critical_update": false, "file_size_mb": 42.1
| # | device_model | firmware_version | release_date | changelog_text | bug_fixes | new_features |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper navigates the Stages Cycling storefront, capturing complex variant hierarchies for crank lengths, bottom bracket standards, and regional pricing grids.
Extract deep variant matrices including crank lengths, left/right/dual configurations, and bottom bracket compatibility.
Capture MSRP versus current promotional pricing across US, UK, and EU regional storefronts.
Monitor stock availability, backorder status, and lead times for high-demand smart bikes and power meters.
Extract geospatial data, contact details, and inventory status from the official authorized retailer map.
Track pricing, turnaround times, and supported crank models for the Stages Factory Install program.
Monitor B-stock availability, condition grading, and discount percentages in the factory outlet section.
Track software updates, bug fixes, and feature releases for the Dash cycling computers and power meters.
Extract structured hardware specs including power accuracy, weight, Q-factor, and battery life.
Route requests through regional proxies to capture accurate local pricing and inventory for global markets.
Brief in. Clean data out.
Provide target categories, regional sites, or specific product lines. We design the extraction schema together.
We configure Playwright crawlers, regional proxy rotation, and API interception for stages-cycling.com.
Schema validation, null-rate checks, and variant normalisation before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Stages Cycling relies on complex product variants and dynamic inventory systems. We map it all cleanly.
Power meters are sold across multiple crank lengths, generations, and drivetrain standards. We parse the frontend state to map every possible variant combination to a unique SKU, ensuring no option is missed.
Stock availability is loaded dynamically via background network requests. We use Playwright to intercept these XHR calls, extracting the raw JSON inventory data before it is rendered to the DOM.
Stages Cycling alters pricing and availability based on the visitor's location. We route requests through residential proxies in specific target countries to extract accurate regional data.
Instead of scraping visual map elements, we target the underlying store locator endpoints, extracting clean geospatial coordinates and contact details for the entire global dealer network.
For inventory monitoring, we maintain a hash index of last-seen values. Subsequent runs only push records when a product comes back in stock or a price changes, reducing downstream noise.
Hardware manufacturers track Stages pricing against Garmin, Wahoo, and Favero to optimise their own promotional calendars.
Retailers monitor out-of-stock rates for specific crank lengths to anticipate supply chain bottlenecks.
Brands cross-reference the official authorized dealer list with third-party marketplace sellers to identify unauthorized distribution.
Used equipment marketplaces anchor their trade-in values against official Stages refurbished and outlet pricing.
Hardware analysts track firmware update frequencies and feature additions to understand the product lifecycle.
Ensure authorized dealers maintain Minimum Advertised Price agreements across all regional storefronts.
"Stages Cycling data reveals the hardware lifecycle of modern indoor and outdoor training ecosystems, from factory installs to firmware patches."
Extracting accurate power meter specifications requires parsing complex variant matrices. DataFlirt handles the JavaScript rendering, regional proxy routing, and schema normalisation so your analysts receive clean, queryable hardware data without maintaining brittle selectors.
Everything supported by our stages-cycling.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, variant state selection, and XHR interception.
We maintain pools of residential ISP proxies to route requests through specific countries, ensuring accurate regional pricing extraction.
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 stages-cycling.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our scraper iterates through the frontend state to extract every combination of crank length, bottom bracket standard, and left/right configuration, assigning each variant to a distinct row in the dataset.
For high-priority SKUs like the SB20 Smart Bike or factory outlet items, we can configure pipelines to run hourly. Full catalogue refreshes are typically scheduled daily.
Yes. We use regional residential proxies to access the localized storefronts, ensuring we capture accurate EUR and GBP pricing, as well as region-specific inventory.
Yes. We bypass the visual map interface and intercept the underlying API requests to extract structured data for all authorized dealers, including latitude, longitude, and contact details.
Yes. We monitor the support and firmware pages to extract release notes, bug fixes, and version numbers whenever a new update is published.
No. DataFlirt only extracts publicly available catalogue and pricing data. We do not circumvent authentication walls to scrape private user ride files or account information.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily inventory feed or a historical pricing dataset across all power meter variants, we scope, build, and operate the pipeline. Tell us what you need.
