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Naturamarket Reviews Scraper

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Naturamarket Reviews Scraper

Naturamarket Reviews Scraper

Extract customer reviews from Naturamarket.ca product pages with this reliable Apify Actor. Leveraging PlaywrightCrawler, it scrapes ratings, comments, dates, and reviewer details into structured JSON....

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

7 days ago

Last modified

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Introduction

The Naturamarket Reviews Scraper is a powerful Apify Actor designed to extract customer reviews from Naturamarket.ca product pages efficiently and reliably. It leverages PlaywrightCrawler to navigate and scrape review data, providing structured insights into product feedback. Ideal for businesses, researchers, and analysts seeking authentic consumer opinions to inform decisions.

Features

  • Comprehensive Review Extraction: Scrapes detailed review information including ratings, comments, dates, and reviewer details from Naturamarket product pages.
  • High Reliability: Built on Apify's robust PlaywrightCrawler, ensuring accurate data collection even from dynamic web content.
  • Customizable Limits: Set maximum items to scrape, allowing control over data volume and processing time.
  • JSON Output: Delivers clean, structured JSON data ready for integration into databases, analytics tools, or reports.
  • Fast and Scalable: Handles multiple URLs concurrently, optimized for performance without overloading target sites.
  • Error-Resilient: Includes built-in handling for common scraping challenges like timeouts or missing data.
  • Easy Integration: Seamlessly works with Apify's ecosystem for scheduling, monitoring, and exporting results.

Input Parameters

ParameterTypeRequiredDescriptionExample
startUrlsarrayYesArray of URLs to start scraping reviews from. Each URL should point to a Naturamarket product review page.[{"url": "https://naturamarket.ca/mui/index/render/?namespace=aw_advanced_reviews_product_review_listing&product_id=7448&filters%5Bplaceholder%5D=true&sorting%5Bfield%5D=created_at&sorting%5Bdirection%5D=desc&paging%5BpageSize%5D=10&paging%5Bcurrent%5D=2&_=1770110328775"}]
maxItemsintegerNoMaximum number of review items to scrape (0 means unlimited).100

Example Usage

Input JSON

{
"startUrls": [
{
"url": "https://naturamarket.ca/mui/index/render/?namespace=aw_advanced_reviews_product_review_listing&product_id=7448&filters%5Bplaceholder%5D=true&sorting%5Bfield%5D=created_at&sorting%5Bdirection%5D=desc&paging%5BpageSize%5D=10&paging%5Bcurrent%5D=2&_=1770110328775"
}
],
"maxItems": 50
}

Output JSON

[
{
"reviewerName": "John Doe",
"rating": 5,
"reviewText": "Excellent product, highly recommend!",
"reviewDate": "2023-10-15",
"productId": "7448",
"helpfulVotes": 12
},
{
"reviewerName": "Jane Smith",
"rating": 4,
"reviewText": "Good quality, but delivery was slow.",
"reviewDate": "2023-09-20",
"productId": "7448",
"helpfulVotes": 5
}
]

Use Cases

  • Market Research: Analyze customer sentiment to identify trends and preferences in natural products.
  • Competitive Intelligence: Compare reviews across similar products to benchmark performance.
  • Price Monitoring: Track feedback related to pricing and value for dynamic pricing strategies.
  • Content Aggregation: Collect reviews for content creation, such as blog posts or social media insights.
  • Academic Research: Gather data for studies on consumer behavior in e-commerce.
  • Business Automation: Automate review monitoring for quality control and customer service improvements.

Installation and Usage

  1. Search for "Naturamarket Reviews Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters (e.g., start URLs and max items).
  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 reviewerName (string), rating (integer, 1-5), reviewText (string), reviewDate (string in YYYY-MM-DD format), productId (string), and helpfulVotes (integer). This structure ensures easy parsing and integration into downstream applications.

Support

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

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