Pcpartpicker Scraper

Pcpartpicker Scraper

Scrape and collect detailed PC component information from the PCPartPicker website.

ECOMMERCEOPEN_SOURCEApify

PCPartPicker Scraper

Scrape and collect detailed PC component information from the PCPartPicker website.

This scraper is ideal for:

  • Price monitoring and comparison across different merchants
  • Gathering technical specifications for PC components
  • Collecting user reviews and ratings

The scraper provides structured data that can be easily integrated into price comparison tools, automated purchasing systems, or market analysis applications.

Input Paramenters

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

Example input

1{
2    "searchPhrases": [
3        "ryzen 5"
4    ],
5    "category": "cpu",
6    "maxProducts": 100,
7    "maxReviews": 20,
8    "countryCode": "us"
9}

Output schema

The output schema of each product contains these properties:

  • id - ID of the product as shown in the URL
  • name - Name of the product
  • category - Category of the product
  • url - Link to the product page on PCPartPicker
  • prices - 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.

Example output

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}

Performance

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.

Frequently Asked Questions

Is it legal to scrape job listings or public data?

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.

Do I need to code to use this scraper?

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.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

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!