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Bjs Reviews Parser Spider

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Bjs Reviews Parser Spider

Bjs Reviews Parser Spider

This Apify Actor efficiently scrapes and parses customer reviews from BJ's Wholesale Club product pages, extracting ratings, comments, and timestamps for actionable insights....

Pricing

from $8.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

Bookmarked

3

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0

Monthly active users

7 hours ago

Last modified

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This Apify Actor is designed to scrape and parse customer reviews from BJ's Wholesale Club (BJS) product pages. It efficiently extracts detailed review data, including ratings, comments, and timestamps, providing valuable insights for businesses and researchers. By automating the collection of authentic customer feedback, it saves time, ensures data accuracy, and supports data-driven decision-making.

Features

  • Comprehensive Review Extraction: Scrapes all available reviews from specified BJS product URLs, including ratings, reviewer details, and full comments.
  • Multi-URL Support: Handles multiple product pages in a single run for batch processing.
  • Proxy Integration: Utilizes residential proxies to bypass restrictions and ensure reliable, undetected scraping.
  • High Performance: Built on Apify's scalable infrastructure for fast, concurrent data extraction.
  • Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration.
  • Error Resilience: Includes built-in handling for common scraping challenges like rate limits and page changes.
  • Customizable: Flexible input options to tailor scraping to specific needs.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesA list of URLs pointing to BJS product pages from which to extract reviews. Must include at least one valid URL.["https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/"]
proxyConfigurationobjectNoConfiguration for proxy servers to mask the scraper's origin and avoid blocks. Defaults to Apify's residential proxies.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
"Urls": [
"https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Output JSON

[
{
"productUrl": "https://www.bjs.com/product/wellsley-farms-signature-cheese-sampler-32-oz/3000000000000162959/",
"reviews": [
{
"reviewerName": "John Doe",
"rating": 5,
"date": "2023-10-15",
"title": "Great quality!",
"comment": "Excellent cheese selection, highly recommend.",
"verifiedPurchase": true
}
]
}
]

Use Cases

  • Market Research: Analyze customer sentiment and trends for BJS products to inform product development.
  • Competitive Intelligence: Compare BJS reviews with competitors to identify strengths and weaknesses.
  • Price Monitoring: Track review volumes and ratings alongside pricing data for dynamic strategies.
  • Content Aggregation: Collect reviews for blogs, reports, or databases on wholesale products.
  • Academic Research: Gather data for studies on consumer behavior in retail environments.
  • Business Automation: Integrate review data into dashboards for automated reporting and alerts.

Installation and Usage

  1. Search for "Bjs Reviews Parser 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 scraped product URL. Each object contains a productUrl field and a reviews array. Each review in the array is an object with fields such as reviewerName (string), rating (number, 1-5), date (string in YYYY-MM-DD format), title (string), comment (string), and verifiedPurchase (boolean). This structured format ensures easy parsing and integration into databases or analytics tools.

Support

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

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