Specialized Bike Scraper

Specialized Bike Scraper

by nerdnd

Extract detailed bicycle specifications directly from Specialized.com product pages. Automatically collect model data, components, and pricing into a structured format.

486 runs
7 users
Try This Actor

Opens on Apify.com

About Specialized Bike Scraper

Need to pull detailed bike specs from Specialized.com for a project? I built this scraper because I got tired of manually copying and pasting frame materials and gear ratios. It's a straightforward actor that visits the product pages on specialized.com and extracts the technical data you actually care about: model names, components, pricing, and all those granular specifications listed on the site. I use it to feed competitive analysis spreadsheets and inventory databases. It handles the site structure directly, so you don't have to figure out the selectors yourself. Just give it a starting URL or a list of product links, and it will return structured data (like JSON or CSV) with everything organized. It's perfect for building a local bike spec database, tracking price changes over time, or aggregating component details for a review site. The output is clean and ready for your app or spreadsheet, saving you hours of tedious work.

What does this actor do?

Specialized Bike Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Specialized Bike Scraper

Overview

This actor scrapes detailed bicycle specifications from product pages on specialized.com. It extracts structured data for analysis, comparison, or integration into other systems.

Key Features

Scrapes the following data points from each product URL:
* Product Info: name, subname, product_id, categories, image_urls, loaded_url
* Pricing & Options: price_sale, price_old, colors, sizes, weight, weight_size
* Full Component Specifications:
* Frame, fork, handlebars, stem, tape
* Saddle, seatpost, seat_binder
* Brakes (front/rear), shift levers
* Drivetrain: front/rear derailleur, cassette, crankset, chainrings, bottom bracket, chain
* Wheels & Tires: front/rear wheel, front/rear tire, inner tubes
* Accessories: head unit and mount

How to Use

  1. Click Try for free on the actor page.
  2. In the actor input, enter one or more start URLs. These must be direct links to Specialized product detail pages (e.g., https://www.specialized.com/us/en/s-works-tarmac-sl8-ltd/p/...).
  3. Click Run.
  4. Once finished, preview or download your dataset (JSON, CSV, etc.) from the Dataset tab.

Input/Output

Input: A list of startUrls pointing to specialized.com product pages.

Output: A dataset containing an array of JSON objects, one per scraped product. Example output structure:

[
  {
    "name": "S-Works Tarmac SL8 LTD",
    "subname": "Red Bull - BORA - hansgrohe Edition",
    "price_sale": "$16,500",
    "categories": ["Bikes", "Road Bikes", "Performance Road Bikes", "Tarmac"],
    "frame": "S-Works Tarmac SL8 FACT 12r Carbon",
    "fork": "S-Works Tarmac SL8 FACT Carbon",
    // ... all other scraped fields
  }
]

Categories

TRAVEL

Common Use Cases

Market Research

Gather competitive intelligence and market data

Lead Generation

Extract contact information for sales outreach

Price Monitoring

Track competitor pricing and product changes

Content Aggregation

Collect and organize content from multiple sources

Ready to Get Started?

Try Specialized Bike Scraper now on Apify. Free tier available with no credit card required.

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Actor Information

Developer
nerdnd
Pricing
Paid
Total Runs
486
Active Users
7

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