Ray-Ban & Eyewear Pricing Scraper
Pricing
Pay per usage
Ray-Ban & Eyewear Pricing Scraper
Extract real-time Ray-Ban product data with lightning-fast scraping. Get prices, styles, descriptions & availability across Ray-Ban's entire catalog. Perfect for price monitoring, market research & competitive analysis. No coding required—automated data collection at scale.
Pricing
Pay per usage
Rating
5.0
(1)
Developer
Shahid Irfan
Maintained by CommunityActor stats
0
Bookmarked
12
Total users
2
Monthly active users
5 days ago
Last modified
Categories
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Ray-Ban Sunglasses Scraper
Extract structured sunglasses product data from Ray-Ban using the internal products API. The actor fetches product metadata and stores it in a ready-to-use dataset API format.
Features
- Fast API-based extraction — no browser overhead
- Extracts 15 structured fields per product including title, URL, price, description, model details, colors, and images
- Supports any Ray-Ban listing URL (sunglasses, eyeglasses, categories)
- Automatic pagination through all available products
- Deduplication built in
- Outputs clean structured data for analytics, monitoring, and integrations
Use Cases
- Track catalog pricing and assortment changes over time
- Build product intelligence datasets for market research
- Monitor competitor collections and merchandising updates
- Feed product data into dashboards and BI tools
Input Parameters
| Field | Type | Description |
|---|---|---|
startUrl | string | Ray-Ban listing URL to scrape (default: View All sunglasses) |
results_wanted | integer | Maximum number of products to collect (default: 20) |
max_pages | integer | Maximum number of listing pages to process (default: 10) |
proxyConfiguration | object | Proxy settings for reliable requests |
Output Data
| Field | Type | Description |
|---|---|---|
title | string | Product title |
url | string | Product detail page URL |
price | string | Product price with currency |
description | string | Product description with attributes |
model_name | string | Model name |
model_family | string | Model family (e.g. Wayfarer, Aviator) |
product_type | string | Product type (SUN, Optical, etc.) |
frame_shape | string | Frame shape (Square, Round, etc.) |
front_color | string | Front frame color |
lens_color | string | Lens color |
gender | string | Target gender |
image_url | string | Product image URL |
product_id | string | Unique product identifier |
source_url | string | Listing URL where product was found |
scraped_at | string | ISO timestamp of extraction |
Usage Examples
{"startUrl": "https://www.ray-ban.com/usa/sunglasses/view-all","results_wanted": 20,"max_pages": 3,"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Sample Output
{"title": "ORIGINAL WAYFARER CLASSIC","url": "https://www.ray-ban.com/sunglasses/RB2140original%20wayfarer%20classic-black/805289126577","price": "USD 191","description": "Legacy | ORIGINAL WAYFARER CLASSIC | WAYFARER | SUN | Square | Black | G-15 Green | Unisex","model_name": "ORIGINAL WAYFARER CLASSIC","model_family": "WAYFARER","product_type": "SUN","frame_shape": "Square","front_color": "Black","lens_color": "G-15 Green","gender": "Unisex","image_url": "https://www.ray-ban.com/prod-onecp-record-files/pieyewear/9cd2c330-b771-4dc5-95b9-b35d00c65f18/0RB2140__901__P21__shad__cfr.png","product_id": "805289126577","source_url": "https://www.ray-ban.com/usa/sunglasses/view-all","scraped_at": "2026-07-08T12:46:52.556Z"}
Tips
- Keep
results_wantedaligned with your workflow to reduce run time - Use proxy configuration for better consistency at larger scale
- Start from category URLs when you need targeted subsets
Integrations
- Export dataset via API for ETL pipelines
- Connect output to Make, Zapier, n8n, or custom automations
- Schedule recurring runs to maintain fresh product snapshots
FAQ
Why are fewer products returned than requested?
The listing may expose fewer products based on category size or pagination limits.
Can I scrape other Ray-Ban categories?
Yes. Set startUrl to any Ray-Ban listing URL.
Does it scrape product detail pages?
This version focuses on listing-level product data for speed and scale.
Legal Notice
Use this actor responsibly and ensure your usage complies with applicable laws and the target website terms.