Experience Posts Spider

Introduction

The Experience Posts Spider is a powerful Apify Actor designed to scrape and extract detailed post data from Experience.com review pages and related Google Local Posts. It automates the collection of valuable insights such as post descriptions, media, actions, and timestamps, enabling users to gather comprehensive data for analysis and decision-making. This tool is ideal for businesses, researchers, and developers seeking efficient, reliable data extraction without manual effort.

Features

• Comprehensive Data Extraction: Scrapes key details from posts, including IDs, descriptions, media URLs, and action links.
• High Reliability: Built with robust error handling to ensure consistent data retrieval from dynamic web sources.
• Flexible Input: Accepts multiple URLs for batch processing, allowing scalable scraping operations.
• Structured Output: Delivers clean, JSON-formatted data ready for integration into databases or analytics tools.
• Performance Optimized: Utilizes efficient scraping techniques to minimize load times and resource usage.
• Google Integration: Specifically targets Google Local Posts linked to Experience.com reviews for targeted insights.
• Easy Deployment: Runs seamlessly on Apify's cloud platform with minimal setup.

Input Parameters

Parameter	Type	Required	Description	Example
Urls	array	No	An array of URLs to scrape posts from, such as Experience.com review pages.	["https://www.experience.com/reviews/MsOceanside"]

Example Usage

Input

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

Output

[
  {
    "post_id": 48876517,
    "post_path": "accounts/107205323378750551930/locations/5506691445701696962/localPosts/5140700231027023279",
    "description": "My latest RateMyAgent review in .\n\n\r\n\r\n...\r\n#ratemyagent #realestate #Keller_Williams_Rea5lty",
    "action_type": "LEARN_MORE",
    "action_url": "https://www.ratemyagent.com/real-estate-agent/melissa-huk-am859/sales/reviews?externalReviewId=AbFvOqk8u25NlDcteYtMShTFtuP3SBWr9QQ4EBKgwq405vlCEH_DJ6WDpsTCVa9AiQK87m-IvCfLhQ&reviewSource=Google&utm_source=GMB&utm_medium=smm_Scheduled&utm_campaign=individu",
    "state": "LIVE",
    "media_url": "https://lh3.googleusercontent.com/p/AF1QipP9EgObra182G3GGzlAEkpmUeXGpQeKmJ71zFt9",
    "media_format": "PHOTO",
    "topic_type": "STANDARD",
    "created_at": "2026-01-21T16:11:51.657Z",
    "updated_at": "2026-01-28T12:06:55.239Z",
    "search_url": "https://local.google.com/place?id=15397593567260242780&use=posts&lpsid=CIHM0ogKEPGjvo2M8u34sgE",
    "source": "google",
    "resource_name": "Ms. Oceanside Real Estate"
  },
  {
    "post_id": 47669060,
    "post_path": "accounts/107205323378750551930/locations/5506691445701696962/localPosts/195573970864585688",
    "description": "My latest RateMyAgent review in .\n\n\r\n\r\n...\r\n#ratemyagent #realestate #Keller_Williams_Rea5lty",
    "action_type": "LEARN_MORE",
    "action_url": "https://www.ratemyagent.com/real-estate-agent/melissa-huk-am859/sales/reviews?externalReviewId=AbFvOqn_FW2NPGm9yodwLx-PoxbQ1rB8Cw3dNH6GnIGz7fyAkih2WNaRVwgONAY6YmxOlfiVii3E&reviewSource=Google&utm_source=GMB&utm_medium=smm_Scheduled&utm_campaign=individual",
    "state": "LIVE",
    "media_url": "https://lh3.googleusercontent.com/p/AF1QipOkyLOqFMx0nvSPdvBbaejAstW81-ZPs45GPYbA",
    "media_format": "PHOTO",
    "topic_type": "STANDARD",
    "created_at": "2026-01-14T16:10:44.683Z",
    "updated_at": "2026-01-28T12:06:55.239Z",
    "search_url": "https://local.google.com/place?id=15397593567260242780&use=posts&lpsid=CIHM0ogKEJXG-dneiZHY5QE",
    "source": "google",
    "resource_name": "Ms. Oceanside Real Estate"
  },
  {
    "post_id": 46459470,
    "post_path": "accounts/107205323378750551930/locations/5506691445701696962/localPosts/8199145786242877519",
    "description": "My latest RateMyAgent review in .\n\n\r\n\r\n...\r\n#ratemyagent #realestate #Keller_Williams_Rea5lty",
    "action_type": "LEARN_MORE",
    "action_url": "https://www.ratemyagent.com/real-estate-agent/melissa-huk-am859/sales/reviews?externalReviewId=AbFvOqlL0Kntqje8Mza3hx4KWmtYYjCvBBsC1CO1X29sK65Yd1cHUshze4Q8j_557S8dpQlgw-JZLw&reviewSource=Google&utm_source=GMB&utm_medium=smm_Scheduled&utm_campaign=individu",
    "state": "LIVE",
    "media_url": "https://lh3.googleusercontent.com/p/AF1QipMBloXw9v0QjXKK3nRyW4Gmsq1Es5YxWOpYc0e9",
    "media_format": "PHOTO",
    "topic_type": "STANDARD",
    "created_at": "2026-01-07T16:09:47.984Z",
    "updated_at": "2026-01-28T12:06:55.239Z",
    "search_url": "https://local.google.com/place?id=15397593567260242780&use=posts&lpsid=CIHM0ogKEOnXnPu2xI6LEQ",
    "source": "google",
    "resource_name": "Ms. Oceanside Real Estate"
  }
]

Use Cases

• Market Research: Analyze customer feedback and trends from Experience.com reviews to inform product development.
• Competitive Intelligence: Monitor competitors' Google Local Posts for insights into their marketing strategies.
• Content Aggregation: Collect and organize post data for social media analysis or content creation.
• Academic Research: Gather historical post data for studies on consumer behavior and online reputation.
• Business Automation: Automate data extraction for dashboards tracking brand mentions and reviews.
• Real Estate Insights: Extract reviews and posts related to real estate agents for performance evaluation.

Installation and Usage

1. Search for "Experience Posts 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 an array of JSON objects, each representing a scraped post. Key fields include post_id (unique identifier), description (post content), action_type and action_url (call-to-action details), media_url and media_format (associated media), created_at and updated_at (timestamps), source (e.g., "google"), and resource_name (associated entity). This structured format ensures easy parsing and integration.

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!