Experience Profile Reviews Spider

Introduction

The Experience Profile Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed reviews from Experience.com profiles. It automates the collection of customer feedback, ratings, and replies, providing valuable insights into business reputations and customer sentiments. This tool is ideal for businesses, researchers, and analysts seeking to monitor and analyze online reviews efficiently.

Features

• Comprehensive Review Extraction: Captures full review details including text, ratings, reviewer information, dates, and source platforms like Google.
• Reply Handling: Includes business replies to reviews, offering a complete conversation view.
• Flexible URL Input: Accepts multiple profile URLs for batch processing, enabling large-scale data collection.
• High Reliability: Built on Python Scrapy for robust web scraping with error resilience.
• Structured JSON Output: Delivers clean, machine-readable data for easy integration into databases or analytics tools.
• Fast Performance: Optimized for speed, handling multiple profiles without significant delays.
• No API Keys Required: Simple setup with no external dependencies or authentication needed.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	List of Experience.com profile URLs to scrape reviews from.	["https://www.experience.com/reviews/MsOceanside"]

Example Usage

Input

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

Output

[
  {
    "id": null,
    "review_detail_id": 10635711,
    "review": "Melissa is who you want if you\u2019re looking in the San Diego area!! Greatful to be her referral partner",
    "rating": 5,
    "reviewer_first_name": "Makayla M",
    "reviewer_last_name": null,
    "reviewer_full_name": "Makayla M",
    "city": null,
    "state": null,
    "reviewer_image_url": null,
    "is_image_resized": false,
    "review_date_raw": "Wed Dec 31 2025 21:58:30 GMT+0000 (Coordinated Universal Time)",
    "review_date": "2025-12-31T21:58:30+00:00",
    "source_name": "google",
    "source_label": "Google",
    "source_icon": "https://listings.experience.com/app_images/icons/source-icons/google.svg",
    "source_id": 2,
    "participant_type": null,
    "is_pinned": false,
    "pinned_at": null,
    "review_label": null,
    "belongs_to_slug": "MsOceanside",
    "belongs_to_name": "Ms. Oceanside Real Estate",
    "is_ranking_score_disabled": false,
    "review_origin_link": "https://search.google.com/local/writereview?placeid=ChIJN4MIFu3524ARXPNi_MQ9r9U",
    "replies": [
      {
        "replier": "Owner",
        "reply": "Thank you so much, Makayla, for the kind words and partnership! I\u2019m truly grateful to have you as a referral partner and appreciate your trust. If you ever need anything for clients looking in the San Diego area, please don\u2019t hesitate to reach out anytime. I\u2019m always happy to help!",
        "reply_date_raw": "Thu Jan 01 2026 04:37:13 GMT+0000 (Coordinated Universal Time)"
      }
    ]
  }
]

Use Cases

• Market Research and Analysis: Gather customer feedback to identify trends and improve products or services.
• Competitive Intelligence: Monitor competitors' reviews to benchmark performance and uncover strengths/weaknesses.
• Reputation Management: Track online sentiment for proactive response to negative reviews.
• Academic Research: Collect data for studies on consumer behavior and review platforms.
• Business Automation: Automate review aggregation for dashboards or reporting tools.
• Content Aggregation: Build databases of reviews for content creation or SEO analysis.

Installation and Usage

1. Search for "Experience Profile Reviews Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add profile URLs).
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 review objects. Each object includes fields like review_detail_id, review (text), rating (1-5), reviewer details (reviewer_full_name, city, state), dates (review_date), source info (source_name, source_label), and replies (array of business responses with replier, reply text, and date). This structure ensures comprehensive data for analysis, with null values for unavailable fields.

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!

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