🎮 Steam Reviews Scraper

This Actor scrapes game reviews from Steam based on a given game's review URL. It utilizes Puppeteer with stealth mode to navigate through review pages and extract detailed information about Steam game reviews.

✨ Features

• 🔍 Scrape reviews for any Steam game using its review URL
• 📊 Extract comprehensive review data including helpfulness, rewards, and play time
• 👤 Collect reviewer information such as name, avatar, and profile URL
• 🕰️ Gather review posting dates and comment counts
• 🔢 Configurable maximum number of results
• 🕵️‍♂️ Uses stealth mode to avoid detection
• 🔄 Automatic pagination through infinite scrolling

📥 Input

The Actor accepts the following input parameters:

• reviewUrl (required): The URL of the Steam game reviews to scrape
• maxResults (optional): The maximum number of reviews to scrape (default: 100)

📤 Output

The Actor outputs a dataset containing the following information for each review:

• 🆔 App ID
• 👍 Helpfulness count
• 🏅 Reward count
• ⭐ Review result (e.g., "Recommended")
• ⏱️ Hours on record
• 📅 Posted date
• 📝 Review text
• 💬 Review comment count
• 👤 Author details (avatar, name, products owned, profile URL)

🚀 Usage

To use this Actor, simply provide the review URL of the Steam game you want to scrape and optionally set the maximum number of results. The Actor will then navigate through the review pages, collecting review information until it reaches the specified limit or exhausts all available reviews.

This Actor is perfect for game developers, marketers, or researchers looking to gather insights from Steam game reviews.

💡 Use Cases

• 📊 Game Performance Analysis: Track player sentiment and feedback
• 🎯 Marketing Research: Gather insights on player experiences and opinions
• 🔬 User Experience Studies: Analyze player behavior and preferences
• 🏆 Competitive Analysis: Compare reviews across different games

🆘 Support

If you encounter any issues or have questions about using this Actor, please don't hesitate to reach out through Apify's support channels.

Input Example

A full explanation of an input example in JSON.

1{
2  "maxResults": 100,
3  "reviewUrl": "https://steamcommunity.com/app/2195250/reviews/"
4}

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

1[
2	{
3		"appId": "2195250",
4		"helpfullNum": "No one has rated this review as helpful yet",
5		"rewardNum": "0",
6		"reviewResult": "Recommended",
7		"hoursOnRecord": "384.5 hrs on record",
8		"postedDate": "October 7",
9		"reviewText": "idk",
10		"reviewCommnetCount": "0",
11		"authorAvator": "https://avatars.akamai.steamstatic.com/5c58e903a49f38f82561fd0a3d68d4862cd560a7.jpg",
12		"authorName": "AnhBaTraCu",
13		"authorProducts": "",
14		"authorProfileUrl": "https://steamcommunity.com/profiles/76561198350721055/"
15	},
16	{
17		"appId": "2195250",
18		"helpfullNum": "No one has rated this review as helpful yet",
19		"rewardNum": "0",
20		"reviewResult": "Recommended",
21		"hoursOnRecord": "48.7 hrs on record",
22		"postedDate": "October 6",
23		"reviewText": "Good Game",
24		"reviewCommnetCount": "0",
25		"authorAvator": "https://avatars.akamai.steamstatic.com/53ea4f7ff2c3fe22217aeae2cda4334f20d62cc8.jpg",
26		"authorName": "SANTY",
27		"authorProducts": "",
28		"authorProfileUrl": "https://steamcommunity.com/id/santy_12/"
29	},
30    ...
31]