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Altrarunning Product Reviews Url Listing

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Altrarunning Product Reviews Url Listing

Altrarunning Product Reviews Url Listing

The Altrarunning Product Reviews Url Listing is an Apify Actor that extracts detailed product reviews from specified URLs, offering insights into customer feedback for informed decision-making....

Pricing

from $9.00 / 1,000 results

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GetDataForMe

GetDataForMe

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4 days ago

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Altrarunning Product Reviews Url Listing

Introduction

The Altrarunning Product Reviews Url Listing is a powerful Apify Actor designed to extract detailed product reviews from specified URLs. This tool enables users to gather comprehensive insights into customer feedback on products, facilitating informed decision-making and strategic planning.

Features

  • Extracts detailed product reviews including scores, titles, and body text.
  • Supports multiple languages and verified buyer status identification.
  • Configurable item limits for tailored data extraction.
  • Provides sentiment analysis of review content.
  • Outputs structured JSON data for easy integration with other tools.

Input Parameters Table

ParameterTypeRequiredDescriptionExample
UrlsstringNoThe URLs for the spider to scrape. Must be valid HTTP/HTTPS links."https://www.altrarunning.com/en-us/products"
item_limitintegerNoMaximum items to scrape per actor run. Set to 0 for no limit.10

Example Usage

Input JSON

{
"Urls": "https://www.altrarunning.com/en-us/products/mens-timp-hiker-gtx-al0a85p7?variant=47943942045863",
"item_limit": 5
}

Output JSON

[
{
"product_id": "8732831318183",
"product_title": "Men's Timp Hiker GTX",
"product_handle": "mens-timp-hiker-gtx-al0a85p7",
"product_vendor": "altra",
"product_url": "https://www.altrarunning.com/en-us/products/mens-timp-hiker-gtx-al0a85p7?variant=47943942045863",
"review_id": 868919198,
"score": 1,
"title": "Oh no, Ankle biter",
"body": "Unwearable. Constructed so parts are sewn together in a ridge which digs into ankles. Not wearing these.",
"created_at": "2026-07-14T02:07:24",
"verified_buyer": true,
"sentiment": 0.023271736,
"is_incentivized": false,
"votes_up": 0,
"votes_down": 0,
"language": "en",
"user_id": 284845567,
"user_display_name": "Crow",
"user_type": "User",
"country_code": "US",
"custom_fields": {
"Functionality": 1,
"Quality": 1
},
"images": null,
"brand_comment": {
"content": "We\u2019re sorry to hear this and truly appreciate you sharing your feedback. We\u2019ve sent you an email so we can learn more and help make things right. When you have a moment, we\u2019d love to hear from you!",
"created_at": "2026-07-14T13:43:29",
"display_name": null
},
"actor_id": "79jrc7sZHI8gsPvFn",
"run_id": "oNYbnLAi6SLrR7YZH"
}
]

Use Cases

  • Market Research and Analysis: Gain insights into customer preferences and product performance.
  • Competitive Intelligence: Monitor competitor products and gather feedback for strategic advantage.
  • Price Monitoring: Track pricing trends and customer reactions to price changes.
  • Content Aggregation: Compile reviews for content creation or analysis purposes.
  • Academic Research: Use review data for studies in consumer behavior or sentiment analysis.
  • Business Automation: Integrate with CRM systems for automated feedback processing.

Installation and Usage

  1. Search for "Altrarunning Product Reviews Url Listing" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters as needed.
  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 output is a JSON array where each object represents a product review with fields such as product_id, review_id, score, title, body, and more. This structured data includes metadata like created_at, verified_buyer, sentiment, and user information, providing comprehensive insights into customer feedback.

Error Handling

The Actor is designed to handle common errors gracefully, such as invalid URLs or network issues. If an error occurs, it will be logged in the Apify Console for troubleshooting. Users are encouraged to verify input parameters before running the Actor to minimize potential issues.

Rate Limiting and Best Practices

To ensure optimal performance and avoid being blocked by target websites, adhere to the following best practices:

  • Respect robots.txt directives.
  • Implement delays between requests if necessary.
  • Use a pool of rotating IP addresses for large-scale scraping tasks.

Limitations and Considerations

  • The Actor may not handle dynamically loaded content without additional configuration.
  • Ensure compliance with legal and ethical standards when scraping data.
  • Performance may vary based on the complexity and structure of target websites.