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Prilosectoc Reviews Spider

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Prilosectoc Reviews Spider

Prilosectoc Reviews Spider

The Prilosectoc Reviews Spider is an Apify Actor that scrapes comprehensive customer reviews from Prilosec OTC product pages on Amazon, capturing ratings, titles, text, and metadata....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Introduction

The Prilosectoc Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Prilosec OTC product pages on Amazon. It efficiently gathers detailed review data, including ratings, titles, text, and metadata, enabling users to analyze consumer feedback at scale. This tool is ideal for businesses, researchers, and analysts seeking actionable insights into product performance and customer sentiment.

Features

  • Comprehensive Review Extraction: Captures full review details such as ratings, titles, text, author info, submission dates, and media attachments (photos/videos).
  • High Reliability: Built with robust error handling and retry mechanisms to ensure data accuracy and minimize failures.
  • Scalable Performance: Handles multiple URLs concurrently, supporting large-scale scraping without compromising speed.
  • Flexible Input: Accepts a list of URLs for targeted scraping, allowing customization for specific products or pages.
  • Structured Output: Delivers clean, JSON-formatted data ready for integration into databases, analytics tools, or reports.
  • Apify Integration: Seamlessly runs on the Apify platform with easy monitoring, logging, and export options.
  • Data Privacy Compliant: Focuses on publicly available review data, adhering to web scraping best practices.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesAn array of URLs pointing to Prilosec OTC product review pages on Amazon. Each URL must start with http:// or https:// and contain at least one item.["https://www.amazon.com/Prilosec-OTC-Heartburn-Medicine-Tablets/product-reviews/B07B8Z8Z8Z"]

Example Usage

To run the Prilosectoc Reviews Spider, provide input in JSON format like this:

{
"Urls": [
"https://www.amazon.com/Prilosec-OTC-Heartburn-Medicine-Tablets/product-reviews/B07B8Z8Z8Z"
]
}

Example output in JSON format:

[
{
"review_id": "226867242",
"product_id": "3700035905",
"rating": 5,
"title": "Plan of action",
"review_text": "I used to treat heartburn with occasional single use tablets, but results were hit and miss. I needed a better plan of action. Enter Prilosec OTC 14-day tablets. Now I take one tablet per day to block heartburn. And it works!",
"author": "",
"submission_date": "2023-08-01T17:38:42.000+00:00",
"photos": [],
"videos": [],
"actor_id": "TSQfXYEcHcvxLZB90",
"run_id": "Yc1XgyktjHRh6sWyg"
}
]

Use Cases

  • Market Research: Analyze customer sentiment and trends for Prilosec OTC to inform product development and marketing strategies.
  • Competitive Intelligence: Compare reviews across similar heartburn relief products to identify strengths and weaknesses.
  • Price Monitoring: Track review data alongside pricing to understand value perceptions.
  • Content Aggregation: Collect and curate user-generated content for blogs, reports, or social media insights.
  • Academic Research: Gather data for studies on consumer health product feedback and efficacy.
  • Business Automation: Automate review monitoring for e-commerce dashboards or alert systems.

Installation and Usage

  1. Search for "Prilosectoc 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 an array of JSON objects, each representing a single review. Key fields include:

  • review_id: Unique identifier for the review.
  • product_id: Amazon product identifier.
  • rating: Numerical rating (e.g., 1-5).
  • title: Review headline.
  • review_text: Full review content.
  • author: Reviewer's name (may be empty).
  • submission_date: ISO-formatted timestamp.
  • photos and videos: Arrays of media URLs (often empty).
  • actor_id and run_id: Metadata from the Apify run.

Data is structured for easy parsing and integration.

Support

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

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