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Gumtree Seller Reviews Url Ec Spider

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Gumtree Seller Reviews Url Ec Spider

Gumtree Seller Reviews Url Ec Spider

The Gumtree Seller Reviews Url Ec Spider efficiently scrapes detailed seller reviews from Gumtree, providing insights with customizable item limits....

Pricing

from $9.00 / 1,000 results

Rating

0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

Total users

1

Monthly active users

3 days ago

Last modified

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Gumtree Seller Reviews Url Ec Spider

Introduction

The Gumtree Seller Reviews Url Ec Spider is a powerful tool designed to scrape and collect seller reviews from the Gumtree platform. It efficiently gathers detailed review data, including ratings, feedback tags, and reviewer information, providing valuable insights for market analysis and business intelligence.

Features

  • Comprehensive Data Collection: Extracts detailed seller reviews with ratings, feedback tags, and timestamps.
  • Customizable Item Limit: Allows users to set a maximum number of items to scrape per run, optimizing performance.
  • High-Quality Data Output: Ensures reliable and accurate data for analysis.
  • User-Friendly Configuration: Simple setup with intuitive input parameters.
  • Versatile Applications: Suitable for market research, competitive intelligence, and more.

Input Parameters

ParameterTypeRequiredDescriptionExample
item_limitintegerNoMaximum items to scrape per actor run. Set to 0 for no limit.10

Example Usage

Input JSON

{
"item_limit": 5
}

Output JSON

[
{
"reviewer_name": "Saleh",
"reviewer_public_account_id": "1bf4213ddab5038b0c78932c1305c07d",
"rating": 4,
"date_timestamp_ms": 1749496870181,
"formatted_date": "373 days ago",
"role": "buyer",
"category": "Other Phones & Accessories",
"review_type": "GT",
"feedback_tags": [
{
"title": "Unhelpful",
"type": "negative"
},
{
"title": "Unresponsive",
"type": "negative"
}
],
"actor_id": "lJVs7UDhNbnHoCT3y",
"run_id": "j5L0lsgya1QarGJxX"
},
{
"reviewer_name": "Mina",
"reviewer_public_account_id": "00eaa933e312eee22dc1daa2078e0a36",
"rating": 5,
"date_timestamp_ms": 1700602877896,
"formatted_date": "939 days ago",
"role": "buyer",
"category": "For Sale",
"review_type": "GT",
"feedback_tags": [
{
"title": "Friendly",
"type": "positive"
},
{
"title": "Helpful",
"type": "positive"
},
{
"title": "Polite",
"type": "positive"
},
{
"title": "Speedy responder",
"type": "positive"
}
],
"actor_id": "lJVs7UDhNbnHoCT3y",
"run_id": "j5L0lsgya1QarGJxX"
},
{
"reviewer_name": "Akram",
"reviewer_public_account_id": "c2428382db505aaf753a72a2507ae370",
"rating": 5,
"date_timestamp_ms": 1737389151644,
"formatted_date": "513 days ago",
"role": "seller",
"category": "Apple iPhone",
"review_type": "GT",
"feedback_tags": [
{
"title": "Friendly",
"type": "positive"
},
{
"title": "Helpful",
"type": "positive"
},
{
"title": "Polite",
"type": "positive"
}
],
"actor_id": "lJVs7UDhNbnHoCT3y",
"run_id": "j5L0lsgya1QarGJxX"
}
]

Use Cases

  • Market Research and Analysis: Gain insights into seller performance and customer satisfaction.
  • Competitive Intelligence: Monitor competitor reviews to identify strengths and weaknesses.
  • Price Monitoring: Track pricing trends based on seller feedback.
  • Content Aggregation: Compile review data for content creation or reporting.
  • Academic Research: Use structured review data for research projects.
  • Business Automation: Automate the collection of review data for business processes.

Installation and Usage

  1. Search for "Gumtree Seller Reviews Url Ec Spider" 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 of review objects, each containing:

  • reviewer_name: Name of the reviewer
  • reviewer_public_account_id: Unique ID for the reviewer's account
  • rating: Numerical rating given by the reviewer
  • date_timestamp_ms: Timestamp in milliseconds when the review was posted
  • formatted_date: Human-readable date format (e.g., "373 days ago")
  • role: Role of the reviewer (buyer or seller)
  • category: Category of the item reviewed
  • review_type: Type of review
  • feedback_tags: Array of feedback tags with titles and types (positive/negative)
  • actor_id: ID of the actor that performed the run
  • run_id: Unique identifier for the run

Support

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

We're here to help you get the most out of this Actor!