Experience Reviews Spider

An Apify Actor that scrapes detailed review data from online sources like Google. It extracts review text, ratings, reviewer details, and owner responses into structured JSON for analysis.

Key Features

• Extracts Comprehensive Data: Captures review text, star ratings, reviewer names, dates, and any owner replies.
• Multi-Source Ready: Primarily scrapes Google reviews, with a structure adaptable for other platforms.
• Structured JSON Output: Provides clean, organized data ready for integration into databases or analysis tools.
• Contextual Metadata: Includes source information, review IDs, and pinning status for full context.
• Scalable Execution: Efficiently handles multiple URLs in a single run with built-in error handling.

How to Use

Configure the actor with a JSON input containing the URLs you want to scrape. The actor will process these URLs and return the scraped review data.

Input/Output

Input: The actor requires a JSON object with a Urls array.

{
  "Urls": [
    "https://www.experience.com/reviews/MsOceanside"
  ]
}

Output: The actor returns an array of review objects. Each object contains the full scraped details for a single review.

Example Output Snippet:

[
  {
    "uuid": "9d4a4b0a-c945-4d1e-8664-43dae7a77371",
    "review_detail_id": 9435870,
    "review_text": "Working with Melissa Huk was hands-down one of the best decisions...",
    "rating": 5,
    "reviewer_first_name": "Megan B",
    "review_date": "Wed Jul 02 2025 14:16:23 GMT+0000",
    "source_name": "google",
    "replies": ["Owner: Hello Megan, Thank you so much for your kind words!..."],
    "belongs_to_name": "Ms. Oceanside Real Estate"
  }
]

Use Cases

• Sentiment Analysis: Process review text to gauge customer satisfaction and identify common themes.
• Reputation Management: Monitor feedback for a business to track performance and respond to issues.
• Market Research: Aggregate review data to analyze trends and customer preferences across different businesses or industries.