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Alfred Productinfo Spider

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from $9.00 / 1,000 results

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Alfred Productinfo Spider

Alfred Productinfo Spider

The Alfred Productinfo Spider is a web scraping tool designed for extracting detailed product information from URLs. It captures data like names, prices, and descriptions with high accuracy, supporting multiple URLs and customizable item limits....

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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Alfred Productinfo Spider

Introduction

The Alfred Productinfo Spider is a powerful web scraping tool designed to extract detailed product information from specified URLs. It efficiently gathers data such as product names, prices, descriptions, and more, providing valuable insights for various business applications.

Features

  • Comprehensive Data Extraction: Captures essential product details including name, SKU, price, and availability.
  • High-Quality Data: Ensures reliable and accurate information retrieval from e-commerce sites.
  • Customizable Limits: Allows setting a maximum number of items to scrape per run for optimized performance.
  • Flexible URL Configuration: Supports multiple URLs for batch processing.
  • User-Friendly Interface: Easy setup with intuitive input parameters.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesThe URLs for the spider to scrape.["https://example.com/product"]
item_limitintegerNoMaximum items to scrape per actor run. Set to 0 for no limit.10

Example Usage

Input JSON

{
"Urls": [
"https://alfreddunner.com/plus-women-s-embellished-crochet-trim-linen-jacket/?sku=34230YKAD"
],
"item_limit": 10
}

Output JSON

[
{
"Product Name": "Plus Women's Embellished Crochet Trim Linen Jacket",
"SKU": "34230YKAD",
"URL": "https://alfreddunner.com/plus-women-s-embellished-crochet-trim-linen-jacket/",
"Description": "A beautifully detailed button front linen jacket featuring intricate crochet trim along the sleeves and hem. The collared neckline and three-quarter sleeves create an easy, graceful silhouette, perfect for adding soft texture to your look.",
"Image": "https://cdn11.bigcommerce.com/s-yzdq8cilyh/images/stencil/1280x1280/products/8818/65479/34130__03417.1772212989.jpg?c=1",
"Currency": "USD",
"Price": "41.75",
"Availability": "http://schema.org/InStock",
"Condition": "http://schema.org/NewCondition",
"Price Valid Until": "2027-06-09",
"Colors": [
"LINEN"
],
"Sizes": [
"1X",
"2X",
"3X"
],
"Review Count": 0,
"Average Rating": 0,
"actor_id": "6VhRMrGe3N6BlZeZj",
"run_id": "qXhyJx725kg4pVWZs"
}
]

Use Cases

  • Market Research and Analysis: Gather competitive product data for strategic insights.
  • Competitive Intelligence: Monitor competitor pricing and offerings.
  • Price Monitoring: Track price changes over time to inform purchasing decisions.
  • Content Aggregation: Compile product information for content creation.
  • Academic Research: Collect data for studies on e-commerce trends.
  • Business Automation: Integrate with systems for automated inventory management.

Installation and Usage

  1. Search for "Alfred Productinfo 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 containing objects with fields such as:

  • Product Name: The name of the product.
  • SKU: Stock Keeping Unit identifier.
  • URL: Product page URL.
  • Description: Detailed description of the product.
  • Image: URL to the product image.
  • Currency, Price: Pricing information.
  • Availability, Condition: Stock and condition status.
  • Price Valid Until: Expiry date for the current price.
  • Colors, Sizes: Available colors and sizes.
  • Review Count, Average Rating: Customer feedback metrics.
  • actor_id, run_id: Unique identifiers for tracking.

Support

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

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