{"id":20796923,"url":"https://github.com/liamarguedas/steam-scraping-selenium","last_synced_at":"2026-04-28T03:41:43.816Z","repository":{"id":152755016,"uuid":"625042540","full_name":"liamarguedas/Steam-Scraping-Selenium","owner":"liamarguedas","description":"Selenium-based scraping algorithm for top Steam store seller games.","archived":false,"fork":false,"pushed_at":"2023-04-17T11:29:03.000Z","size":7026,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-12-28T20:54:28.343Z","etag":null,"topics":["python","scraper","selenium"],"latest_commit_sha":null,"homepage":"https://github.com/liamarguedas/steam-games-price","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/liamarguedas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-04-07T22:57:40.000Z","updated_at":"2023-11-29T16:40:09.000Z","dependencies_parsed_at":null,"dependency_job_id":"a4a8c249-e2c2-41e9-a7c6-889662517bac","html_url":"https://github.com/liamarguedas/Steam-Scraping-Selenium","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/liamarguedas/Steam-Scraping-Selenium","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liamarguedas%2FSteam-Scraping-Selenium","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liamarguedas%2FSteam-Scraping-Selenium/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liamarguedas%2FSteam-Scraping-Selenium/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liamarguedas%2FSteam-Scraping-Selenium/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/liamarguedas","download_url":"https://codeload.github.com/liamarguedas/Steam-Scraping-Selenium/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/liamarguedas%2FSteam-Scraping-Selenium/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32365519,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-27T20:07:02.737Z","status":"online","status_checked_at":"2026-04-28T02:00:07.250Z","response_time":56,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["python","scraper","selenium"],"created_at":"2024-11-17T16:31:34.946Z","updated_at":"2026-04-28T03:41:43.794Z","avatar_url":"https://github.com/liamarguedas.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎮 Steam Scraping Selenium \nWelcome to my open Steam Scraping open source Python project! \n\nAs a PC Gamer and Data Geek this project is a labor of love that I have been working on for some time, and I am excited to share it with the world. As an open source project, anyone can access and contribute to the code, making it a collaborative effort with the potential to reach a wide audience. \n\nThrough the use of Python programming language and Selenium, I have created a scraper that collects information about specific games and outputs it in a csv file for data uses. This project is designed to be user-friendly, efficient, and scalable, allowing for easy implementation and customization for a variety of use cases.\n\nWhether you're a seasoned analyst or just starting out, I believe this project will be a valuable tool in your toolkit. I encourage you to explore the code, contribute your own ideas and improvements, and help make this project the best it can be. \n\nThank you for your interest and support!\n\n## 📖 Prerequisites\nIn order to run the scraper you will need `Python \u003e= 3.9.0`, `Selenium \u003e= 4.8.3`, `pandas \u003e= 1.5.0` and `numpy \u003e= 1.10.0` installed in your enviroment. You can install `requirements.txt` with:\n\n```shell\npip install -r requirements.txt\n```\n\nYou will also need a ChromeDriver in order to scrape with Selenium, you can get the current Browser Driver [here](https://chromedriver.chromium.org/downloads) and set it as your webdriver path.\n\nAn easy alternative is by installing `webdriver-manager \u003e= 3.8.5`, method used in the scraper:\n\n```shell\npip install webdriver-manager\n```\n\nSource code: [github](https://github.com/SergeyPirogov/webdriver_manager)\n\n## 📃 Instructions\n\nIn order to import the scraper to your project use (Source code needs to be in the same folder):\n\n```shell\nfrom scraper import GetSteamGames\n```\n\nGetSteamGames() has 4 attributes:\n```shell\nGetSteamGames(ToScrape = 10, ToWait = 0.5, verbose = True, Scroll = 5)\n```\n\n**ToScrape :** ***int, default = 10***\u003cbr /\u003e\nNumber of games to scrape by the scraper\n\n**ToWait :** ***float, default = 0.5***\u003cbr /\u003e\nTime to wait for each scrape to finish, need to be equal or higher than 0.5\n\n**verbose :** ***bool, default = True***\u003cbr /\u003e\nPrints progress and information about the scraping\n\n**Scroll :** ***int, default = 5***\u003cbr /\u003e\nTimes to scroll in the steam games website. Each scroll gets you about 20 games, from there you can select how many to scrape with `ToScrape`, example:\n\nIf you want a dataset with about 1000 samples, set `Scroll = 50` and `ToScrape = 1000`\n\n## 🗳️ Output\n\nThe scraper outputs a `games.csv` file in the same folder containing the following data:\n\n| Column        | Description   |\n| ------------- |:-------------:|\n| **GameName**      | The name of the game |\n| **AgeRestriction**      | Whether or not the data has age restriction      |\n| **GameDescription** | Steam Description about the game      |\n| **Reviews** | Total reviews of the game      |\n| **ReleaseDate** | Indicates the release day/month/year of the game       |\n| **Developer** | Developer of the game      |\n| **FullPrice** | Indicates the full price of the game without any discounts      |\n| **DiscountedPrice** | Indicates the discounted price if there was a sale at the time of the scrape, if not value would be 0.      |\n| **PEGI** | URL of an image with the PEGI rank, image url finish with */DEJUS/{rank}.png*     |\n| **MetacriticScore** | Metacritic Score of the game if available     |\n| **Type** | Indicates de tagged category of the game      |\n| **LastUpdate** | Last time it was updated      |\n| **GamesLanguages** | Number of languages available      |\n| **GameFeatures** | A list containing Steam Features present in the game      |\n| **DRM Notice** | Whether the user needs to sign a DRM or not      |\n| **GameAchievements** | Number of Achievements the game has      |\n| **CuratorReviews** | Number of Curator Reviews the game has      |\n\n## ⚖️ License\nMIT © [Steam-Scraping-Selenium](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliamarguedas%2Fsteam-scraping-selenium","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fliamarguedas%2Fsteam-scraping-selenium","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fliamarguedas%2Fsteam-scraping-selenium/lists"}