# GPUCHECK Scraper (`dtrungtin/gpuchecker-scraper`) Actor Extract only new gpu, cpu, quality, resolution, game, and corresponding fps from the last run - **URL**: https://apify.com/dtrungtin/gpuchecker-scraper.md - **Developed by:** [Tin](https://apify.com/dtrungtin) (community) - **Categories:** Other - **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $50.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README #### GPUCHECK Scraper GPUCHECK Scraper is an [Apify actor](https://apify.com/actors) for extracting hardware information from [GPUCHECK](https://www.gpucheck.com/). It allows you to extract only new gpu, cpu, quality, resolution, game, and corresponding fps from the last run. It is build on top of [Apify SDK](https://sdk.apify.com/) and you can run it both on [Apify platform](https://my.apify.com) and locally. **Note that** the last crawling results are saved at Storage >> Key-value stores under "gpucheck" key. If you don't want to extract only new results, you can delete the "gpucheck" key to get all results. - [Input](#input) - [Output](#output) - [Compute units consumption](#compute-units-consumption) #### Input | Field | Type | Description | Default value | ----- | ---- | ----------- | -------------| | gpuIncludeRegex | array | List of gpu patterns that will be crawled. | | | cpuIncludeRegex | array | List of cpu patterns that will be crawled. | | | gpuExcludeRegex | array | List of gpu patterns that won't be crawled. | | | cpuExcludeRegex | array | List of cpu patterns that won't be crawled. | | | proxyConfiguration | object | Proxy settings of the run. The proxy usage is required | `{ "useApifyProxy": true }`| #### Output Output is stored in a dataset. Each item is an information about a product. Example: ``` [{ "url": "https://www.gpucheck.com/gpu/amd-radeon-rx-460/amd-ryzen-3-2200g/high/?lang=en¤cy=usd", "gpu": "AMD Radeon RX 460 - $ 140", "cpu": "AMD Ryzen 3 2200G - $ 98", "quality": "high", "resolution": "1920x1080", "game": "Assassin's Creed Valhalla", "fps": "26.6" }, { "url": "https://www.gpucheck.com/gpu/amd-radeon-rx-460/amd-ryzen-3-2200g/high/?lang=en¤cy=usd", "gpu": "AMD Radeon RX 460 - $ 140", "cpu": "AMD Ryzen 3 2200G - $ 98", "quality": "high", "resolution": "1920x1080", "game": "Microsoft Flight Simulator", "fps": "18.2" }, { "url": "https://www.gpucheck.com/gpu/amd-radeon-rx-460/amd-ryzen-3-2200g/high/?lang=en¤cy=usd", "gpu": "AMD Radeon RX 460 - $ 140", "cpu": "AMD Ryzen 3 2200G - $ 98", "quality": "high", "resolution": "1920x1080", "game": "Valorant", "fps": "96.1" }, { "url": "https://www.gpucheck.com/gpu/amd-radeon-rx-460/amd-ryzen-3-2200g/high/?lang=en¤cy=usd", "gpu": "AMD Radeon RX 460 - $ 140", "cpu": "AMD Ryzen 3 2200G - $ 98", "quality": "high", "resolution": "1920x1080", "game": "Call of Duty: Black Ops Cold War", "fps": "42.8" }, { "url": "https://www.gpucheck.com/gpu/amd-radeon-rx-460/amd-ryzen-3-2200g/high/?lang=en¤cy=usd", "gpu": "AMD Radeon RX 460 - $ 140", "cpu": "AMD Ryzen 3 2200G - $ 98", "quality": "high", "resolution": "1920x1080", "game": "Death Stranding", "fps": "48.6" }] ``` #### Compute units consumption Keep in mind that it is much more efficient to run one longer scrape (at least one minute) than more shorter ones because of the startup time. The average consumption is **1 Compute unit for crawling 200 results** scraped #### Epilogue Thank you for trying my actor. I will be very glad for a feedback that you can send to my email `dtrungtin@gmail.com`. # Actor input Schema ## `gpuIncludeRegex` (type: `array`): Enter gpu pattern you know ## `cpuIncludeRegex` (type: `array`): Enter cpu pattern you know ## `gpuExcludeRegex` (type: `array`): Enter gpu pattern you know ## `cpuExcludeRegex` (type: `array`): Enter cpu pattern you know ## `proxyConfig` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "gpuIncludeRegex": [ "460" ], "cpuIncludeRegex": [ "2200g" ], "gpuExcludeRegex": [ "Radeon HD", "Radeon R\\d+", "GT\\s+", "GTS", "Max-Q", "GTX \\d{3}", "mobile", "GTX 10\\d+", "Radeon VII", "RX VEGA", "TITAN", "2080" ], "cpuExcludeRegex": [ "i[3-7].\\d{3}\\w{1}", "i[3-7]-\\d{3}", "Ryzen 3 1\\d+", "Ryzen 5 1\\d+", "Ryzen 7 1\\d+", "Threadripper", "AMD Athlon", "AMD E2", "AMD FX", "AMD Phenom", "Intel Core2 Duo", "Intel Core2 Extreme", "Intel Core2 Quad", "Intel Pentium", "i3-2\\d+", "i5-2\\d+", "i7-2\\d+", "i3-3\\d+", "i5-3\\d+", "i7-3\\d+", "i3-4\\d+", "i5-4\\d+", "i7-4\\d+", "i3-5\\d+", "i5-5\\d+", "i7-5\\d+", "i3-6\\d+", "i5-6\\d+", "i7-6\\d+", "i3-7\\d+", "i5-7\\d+", "i7-7\\d+" ], "proxyConfig": { "useApifyProxy": true } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "gpuIncludeRegex": [ "460" ], "cpuIncludeRegex": [ "2200g" ], "gpuExcludeRegex": [ "Radeon HD", "Radeon R\\d+", "GT\\s+", "GTS", "Max-Q", "GTX \\d{3}", "mobile", "GTX 10\\d+", "Radeon VII", "RX VEGA", "TITAN", "2080" ], "cpuExcludeRegex": [ "i[3-7].\\d{3}\\w{1}", "i[3-7]-\\d{3}", "Ryzen 3 1\\d+", "Ryzen 5 1\\d+", "Ryzen 7 1\\d+", "Threadripper", "AMD Athlon", "AMD E2", "AMD FX", "AMD Phenom", "Intel Core2 Duo", "Intel Core2 Extreme", "Intel Core2 Quad", "Intel Pentium", "i3-2\\d+", "i5-2\\d+", "i7-2\\d+", "i3-3\\d+", "i5-3\\d+", "i7-3\\d+", "i3-4\\d+", "i5-4\\d+", "i7-4\\d+", "i3-5\\d+", "i5-5\\d+", "i7-5\\d+", "i3-6\\d+", "i5-6\\d+", "i7-6\\d+", "i3-7\\d+", "i5-7\\d+", "i7-7\\d+" ], "proxyConfig": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("dtrungtin/gpuchecker-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "gpuIncludeRegex": ["460"], "cpuIncludeRegex": ["2200g"], "gpuExcludeRegex": [ "Radeon HD", "Radeon R\\d+", "GT\\s+", "GTS", "Max-Q", "GTX \\d{3}", "mobile", "GTX 10\\d+", "Radeon VII", "RX VEGA", "TITAN", "2080", ], "cpuExcludeRegex": [ "i[3-7].\\d{3}\\w{1}", "i[3-7]-\\d{3}", "Ryzen 3 1\\d+", "Ryzen 5 1\\d+", "Ryzen 7 1\\d+", "Threadripper", "AMD Athlon", "AMD E2", "AMD FX", "AMD Phenom", "Intel Core2 Duo", "Intel Core2 Extreme", "Intel Core2 Quad", "Intel Pentium", "i3-2\\d+", "i5-2\\d+", "i7-2\\d+", "i3-3\\d+", "i5-3\\d+", "i7-3\\d+", "i3-4\\d+", "i5-4\\d+", "i7-4\\d+", "i3-5\\d+", "i5-5\\d+", "i7-5\\d+", "i3-6\\d+", "i5-6\\d+", "i7-6\\d+", "i3-7\\d+", "i5-7\\d+", "i7-7\\d+", ], "proxyConfig": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("dtrungtin/gpuchecker-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "gpuIncludeRegex": [ "460" ], "cpuIncludeRegex": [ "2200g" ], "gpuExcludeRegex": [ "Radeon HD", "Radeon R\\\\d+", "GT\\\\s+", "GTS", "Max-Q", "GTX \\\\d{3}", "mobile", "GTX 10\\\\d+", "Radeon VII", "RX VEGA", "TITAN", "2080" ], "cpuExcludeRegex": [ "i[3-7].\\\\d{3}\\\\w{1}", "i[3-7]-\\\\d{3}", "Ryzen 3 1\\\\d+", "Ryzen 5 1\\\\d+", "Ryzen 7 1\\\\d+", "Threadripper", "AMD Athlon", "AMD E2", "AMD FX", "AMD Phenom", "Intel Core2 Duo", "Intel Core2 Extreme", "Intel Core2 Quad", "Intel Pentium", "i3-2\\\\d+", "i5-2\\\\d+", "i7-2\\\\d+", "i3-3\\\\d+", "i5-3\\\\d+", "i7-3\\\\d+", "i3-4\\\\d+", "i5-4\\\\d+", "i7-4\\\\d+", "i3-5\\\\d+", "i5-5\\\\d+", "i7-5\\\\d+", "i3-6\\\\d+", "i5-6\\\\d+", "i7-6\\\\d+", "i3-7\\\\d+", "i5-7\\\\d+", "i7-7\\\\d+" ], "proxyConfig": { "useApifyProxy": true } }' | apify call dtrungtin/gpuchecker-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,dtrungtin/gpuchecker-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/SSoQ4qzbGCvj22c5h/builds/5Q4l3csUlQcGQugHT/openapi.json