Buycycle Scraper

hipersoft/buycycle-scraper

Scrape used bike listings from buycycle in Europe and the US: brand, model, year, price, original price, MSRP, condition, frame size, groupset, category, e-bike, photos, favorites and listing date. Filter by brand, type, price, year, condition, size. Export CSV/JSON.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per listing

$0.0005

Last rebuilt

Oct 26, 2026

Overview

Buycycle Scraper extracts listings from buycycle, the leading marketplace for used and pre-owned bikes in Europe and the United States, covering road bikes, gravel bikes, mountain bikes (MTB), e-bikes, triathlon and time-trial bikes, city and touring bikes and kids' bikes, plus bike parts, components and cycling gear. For every listing you get the title, brand, model year, category, groupset, frame size, condition, asking price, original price, MSRP (new price), currency, price-reduced and high-demand flags, number of favorites and buyer offers, description, all photos, seller ID and listing date. Filter by brand, bike type, e-bike, condition, price, model year, frame size, frame material and seller type, or run a free-text search like "Canyon Aeroad" or "Specialized Tarmac". Export to CSV, Excel or JSON. Ideal for bike shops and dealers, resellers, price research, residual-value analysis, bike valuation tools and cycling market research.

What does Buycycle Scraper do?

🚲 Used bikes: road, gravel, MTB, e-bikes, urban, youth, plus parts and gear.
🌍 Europe (EUR) and US (USD) markets.
🔎 Search by model name, groupset or keyword.
🏷️ Filters: brand, type, e-bike, condition, price, year, size, frame material, private or shop seller.
💶 Asking price, original price and MSRP to measure depreciation.
🧩 Specs: groupset, frame size, category, year.
❤️ Demand signals: favorites, buyer offers, high-demand and price-reduced flags.
📦 Complete results: large searches are split automatically to go beyond the usual 10,000-result limit.

What data can you scrape from buycycle?

Field	Description
Listing	ID, title, link, listing date, last update
Bike	Brand, year, type, category, groupset/component, frame size, condition
Price	Price, original price, MSRP, currency, price-reduced flag
Demand	Favorites, buyer offers, high-demand flag
Media	Main image, all photos
Seller	Seller ID, country ID
Text	Seller description

Use cases for used bike data

Bike shops and dealers: price trade-ins and used stock against the live market.
Resellers and flippers: find under-priced bikes by model and size.
Valuation tools and insurers: build residual-value curves by brand, model and year.
Brands: monitor secondary-market pricing and demand for your models.
Market research: analyse supply, price levels and condition across Europe and the US.

How to scrape buycycle

Click Try for free to open Buycycle Scraper in Apify Console.
Choose the market (Europe or US) and products.
Add a search, brands and any filters.
Choose the sort order and max listings.
Click Start and download the listings as CSV, Excel or JSON.

Input

Example input

{
  "market": "europe",
  "productType": "bikes",
  "brands": ["Canyon", "Specialized"],
  "categories": ["road-gravel"],
  "conditions": ["new", "very-good"],
  "maxPrice": 3000,
  "minYear": 2021,
  "sizes": ["m", "l"],
  "sortBy": "newest",
  "maxItems": 500
}

Field	Description
Market	europe (EUR) or us (USD).
Products	bikes, or all (incl. parts and gear).
Search	Free-text search.
Bike types	road-gravel, mountainbike, urban-touring, youth.
Brands	Brand names.
E-bikes	any, only, exclude.
Condition	new, very-good, good, fair.
Seller type	any, private, commercial.
Price / year range	Min and max.
Frame sizes / materials	XS–XL; carbon, aluminium, steel, titanium.
Sort by	newest, price-asc, price-desc, relevance.
Max listings	0 = no limit.

Output

Listing example

{
  "listingId": "2693230",
  "title": "Grizl 7 2024",
  "url": "https://buycycle.com/product/grizl-7-2024-90014",
  "productType": "bike",
  "brand": "Canyon",
  "year": 2024,
  "category": "Gravel bike",
  "type": "Road & Gravel",
  "groupset": "Shimano GRX",
  "frameSize": "M",
  "condition": "Very good",
  "price": 1610,
  "originalPrice": 1610,
  "msrp": 1899,
  "currency": "EUR",
  "favorites": 1,
  "buyerOffers": 0,
  "description": "The bicycle has only been ridden for approx. 300 km…",
  "imageUrl": "https://…/bb5a02b9.webp",
  "listedAt": "2026-10-07T17:36:04.000Z",
  "market": "europe"
}

Output schema

Field	Type	Description
`listingId`, `title`, `url`, `productType`	string	Listing.
`brand`, `year`, `category`, `type`, `groupset`, `component`, `frameSize`, `size`, `condition`	mixed	Bike.
`price`, `originalPrice`, `msrp`, `currency`, `priceReduced`	mixed	Price.
`favorites`, `buyerOffers`, `highDemand`	mixed	Demand.
`description`, `imageUrl`, `images`	mixed	Content.
`sellerId`, `countryId`	number	Seller.
`listedAt`, `updatedAt`, `market`, `scrapedAt`	string	Dates and source.

How much does it cost?

Buycycle Scraper uses pay-per-listing pricing: a small fixed price per listing, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

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FAQ

Can I get every bike on buycycle? Yes. Set Max listings to 0; large result sets are split automatically so nothing is cut off at 10,000.

Why are EU bikes missing in the US market? Each market shows the listings available to buyers there; choose the market you want to analyse.

What is MSRP? The manufacturer's suggested retail price when new, shown when the seller provides it.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Buycycle Scraper with other apps? Buycycle Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape buycycle? The scraper only collects publicly visible listing information. You are responsible for using the data in line with buycycle's terms and applicable law.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with buycycle.

Input

Field	Type	Description
`market` Market	string · europe, us	Europe (prices in EUR) or United States (prices in USD). Default: `"europe"`
`productType` Products	string · bikes, all	Bikes only, or everything (bikes, parts, cycling gear and other sports equipment). Default: `"bikes"`
`searchQuery` Search	string	Optional free-text search, e.g. "Canyon Aeroad", "Specialized Tarmac SL7", "Dura-Ace Di2".
`categories` Bike types	array	Optional bike types.
`brands` Brands	array	Optional brands, e.g. Specialized, Trek, Canyon, Cervélo, Pinarello, Santa Cruz.
`eBike` E-bikes	string · any, only, exclude	Include, exclude or only e-bikes. Default: `"any"`
`conditions` Condition	array	Optional conditions.
`sellerType` Seller type	string · any, private, commercial	Private sellers, shops, or both. Default: `"any"`
`minPrice` Minimum price	integer	Lowest price (EUR or USD depending on market).
`maxPrice` Maximum price	integer	Highest price.
`minYear` Model year from	integer	Oldest model year.
`maxYear` Model year to	integer	Newest model year.
`sizes` Frame sizes	array	Optional frame sizes.
`frameMaterials` Frame materials	array	Optional frame materials.
`sortBy` Sort by	string · newest, price-asc, price-desc, relevance	Order of results. Default: `"newest"`
`maxItems` Max listings	integer	Stop after this many listings (0 = no limit; large searches are split automatically to collect everything). Default: `500`
`proxyConfiguration` Proxy configuration	object	Not needed in most cases. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~buycycle-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchQuery": "",
  "brands": [
    "Canyon"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/buycycle-scraper").call(run_input={
    "searchQuery": "",
    "brands": [
        "Canyon"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/buycycle-scraper').call({
  "searchQuery": "",
  "brands": [
    "Canyon"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Listing One bike listing scraped	$0.0005	$0.0003

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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