Experience Reviews Spider

The Experience Reviews Spider is a powerful Apify Actor designed to scrape detailed customer reviews from Experience.com profiles. It efficiently extracts review data, including ratings, text, reviewer details, and timestamps, providing valuable insights into user experiences. This tool is ideal for businesses, researchers, and analysts looking to gather authentic feedback for market analysis and decision-making.

Features

• Comprehensive Review Extraction: Scrapes full review details such as text, ratings, reviewer names, dates, and source information from Experience.com pages.
• Multi-URL Support: Handles multiple URLs in a single run, allowing batch processing for efficiency.
• Structured JSON Output: Delivers clean, machine-readable data in JSON format, perfect for integration with other tools or databases.
• Reliable and Fast: Built on Python Scrapy for robust web scraping, ensuring high success rates and quick execution.
• Error-Resilient: Includes built-in handling for common scraping challenges like dynamic content and rate limits.
• Customizable Inputs: Flexible input parameters to target specific profiles or pages.
• Apify Integration: Seamlessly runs on the Apify platform with easy monitoring and export options.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	An array of URLs pointing to Experience.com review pages to scrape. Each URL should be a valid profile link.	["https://www.experience.com/reviews/MsOceanside"]

Example Usage

To run the Actor, provide input in JSON format. Here's an example input:

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

This will scrape reviews from the specified URL. The output will be a JSON array of review objects, such as:

[
  {
    "uuid": "713caf57-a93b-4ef9-9118-9c7435aaf764",
    "review_detail_id": 10406848,
    "review_text": "Melissa helped me sell my father\u2019s condo in San Diego through a sometimes challenging process. What I appreciated most was her persistence and her commitment to getting the sale done, even with several obstacles along the way. She stayed on top of the details, communicated frequently, and ultimately succeeded in selling the property while I was out of town. I\u2019m grateful for her hard work and determination throughout the process.",
    "rating": 5,
    "reviewer_first_name": "Fausto",
    "reviewer_last_name": "I",
    "review_date": "Sun Nov 30 2025 01:22:50 GMT+0000 (Coordinated Universal Time)",
    "source_name": "write_review_unverified",
    "source_label": "Experience",
    "is_pinned": false,
    "pinned_at": "",
    "replies": [],
    "review_origin_link": null,
    "belongs_to_slug": "MsOceanside",
    "belongs_to_name": "Ms. Oceanside Real Estate"
  }
]

Use Cases

• Market Research and Analysis: Gather customer feedback to understand market trends and consumer sentiment.
• Competitive Intelligence: Compare reviews across similar businesses to identify strengths and weaknesses.
• Price Monitoring: Analyze reviews for pricing insights in service-based industries.
• Content Aggregation: Collect and aggregate reviews for content creation or reporting.
• Academic Research: Study user experiences in fields like real estate or services for scholarly work.
• Business Automation: Automate review collection for dashboards or CRM integrations.

Installation and Usage

1. Search for "Experience Reviews Spider" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
4. Click "Start" to begin extraction
5. Monitor progress in the log
6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs a JSON array of objects, each representing a single review. Key fields include:

• uuid: Unique identifier for the review.
• review_detail_id: Internal ID from the source.
• review_text: The full text of the review.
• rating: Numerical rating (e.g., 1-5).
• reviewer_first_name and reviewer_last_name: Reviewer's name.
• review_date: Timestamp of the review.
• source_name and source_label: Origin details.
• is_pinned: Boolean indicating if the review is pinned.
• replies: Array of replies (if any).
• belongs_to_slug and belongs_to_name: Associated profile details.

Data is structured for easy parsing and analysis.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!