Scrape and collect detailed PC component information from the PCPartPicker website.
Scrape and collect detailed PC component information from the PCPartPicker website.
This scraper is ideal for:
The scraper provides structured data that can be easily integrated into price comparison tools, automated purchasing systems, or market analysis applications.
The input of the scraper is JSON containing these parameters:
searchPhrases
- A list of search phrases used in filtering the results. This parameter is required only when searching all categories.category
- Select which category to scrape.maxProducts
- How many products should be scraped.maxReviews
- How many reviews of each product should be returned.countryCode
- Country code of country specific domain to scrape.For more information on inputs have a look here https://apify.com/matyascimbulka/pcpartpicker-scraper/input-schema
1{ 2 "searchPhrases": [ 3 "ryzen 5" 4 ], 5 "category": "cpu", 6 "maxProducts": 100, 7 "maxReviews": 20, 8 "countryCode": "us" 9}
The output schema of each product contains these properties:
id
- ID of the product as shown in the URLname
- Name of the productcategory
- Category of the producturl
- Link to the product page on PCPartPickerprices
- An object containing lowestPrice
fieald and an array of listed prices. Each object in the array contains merchant name, availability information, buy link for the merchant, price and currency.ratings
- Product rating information. It contains total number of ratings, average rating and the percentage split between each star rating.specification
- Technical specification of the product.reviews
- An array containing user written reviews of the product. Each review contains author, age of the review, rating, and text of the review.1{ 2 "id": "66B47d", 3 "name": "AMD Ryzen 7", 4 "category": "CPU", 5 "url": "https://pcpartpicker.com/product/**", 6 7 "prices": { 8 "lowestPrice": 250, 9 "prices": [ 10 { 11 "merchant": "bestbuy", 12 "availability": "Out of stock", 13 "price": 250, 14 "currency": "$", 15 "buyLink": "https://api.bestbuy.com/**" 16 } 17 ] 18 }, 19 "ratings": { 20 "averageRating": 4.9, 21 "numberOfRatings": 51, 22 "percentages": { 23 "5*": "94%", 24 "4*": "6%", 25 "3*": "0%", 26 "2*": "0%", 27 "1*": "0%" 28 } 29 }, 30 "specifications": { 31 "Manufacturer": "AMD", 32 }, 33 "reviews:" [ 34 { 35 "author": "username", 36 "age": "5 days ago", 37 "rating": 5, 38 "text": "The text of the review." 39 } 40 ] 41}
Since the scraper uses a Playwright crawler, it requires significant memory. While it performs optimally with 8 GB of memory, it can function adequately with as little as 2 GB.
Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.
No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.
It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.
Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.
You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!