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Gmc Model Scraper

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Gmc Model Scraper

Gmc Model Scraper

Efficiently extract detailed GMC vehicle data—including years, prices, images, and attributes—from official websites with this reliable Apify Actor. Delivers structured JSON for easy integration, perfect for market research, price monitoring, and business automation. (198 characters)

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

16 days ago

Last modified

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Introduction

The Gmc Model Scraper is a powerful Apify Actor designed to extract detailed vehicle information from GMC's official website. It scrapes model data including years, prices, images, and attributes from specified URLs, providing structured JSON output for easy integration into your workflows. This tool is ideal for automotive enthusiasts, researchers, and businesses needing accurate, up-to-date GMC vehicle data without manual effort.

Features

  • Comprehensive Data Extraction: Captures key details like model year, pricing, images, and custom attributes from GMC's vehicle lineup pages.
  • High Reliability: Built on Apify's CheerioCrawler for robust, error-resistant scraping with built-in retry mechanisms.
  • Structured Output: Delivers clean, JSON-formatted data with consistent schemas for seamless data processing.
  • Customizable Inputs: Accepts multiple start URLs to scrape various GMC pages or sections.
  • Performance Optimized: Handles large-scale extractions efficiently with minimal resource usage.
  • Real-Time Data: Pulls the latest information directly from GMC's site, ensuring freshness.
  • Easy Integration: Outputs data ready for export to CSV, Excel, or databases for further analysis.

Input Parameters

ParameterTypeRequiredDescriptionExample
startUrlsarrayYesAn array of URLs to start scraping from. Each URL should point to a GMC page containing vehicle lineup information.[{"url": "https://www.gmc.com/help-me-find/vehicle-lineup"}]

Example Usage

Input JSON

{
"startUrls": [
{
"url": "https://www.gmc.com/help-me-find/vehicle-lineup"
}
]
}

Output JSON

[
{
"year": "2026",
"model": "Yukon",
"link": "https://www.gmc.com/suvs/yukon",
"prices": {
"starting": "$69,600",
"asShown": "$70,245"
},
"image": {
"url": "https://www.gmc.com/content/dam/gmc/na/us/english/index/vehicles/2026/suvs/yukon/overview/trims/2026-yukon-slt-volcanic-red-1000x563.png?imwidth=960",
"alt": "2026 yukon"
},
"attributes": [
{
"name": "price",
"value": "$69,600"
},
{
"name": "netPrice",
"value": "$71,795"
},
{
"name": "bodystyleCode",
"value": "yukon"
},
{
"name": "year",
"value": "2026"
}
],
"tags": [
"gmc_tags:year/2026",
"gmc_tags:segment/crossovers-suvs",
"gmc_tags:hmf/26-yukon"
]
}
]

Use Cases

  • Market Research: Analyze GMC model trends, pricing strategies, and feature sets for automotive industry insights.
  • Competitive Intelligence: Compare GMC vehicles with competitors by extracting detailed specs and costs.
  • Price Monitoring: Track starting and as-shown prices for inventory management or resale value assessments.
  • Content Aggregation: Build databases of GMC models for blogs, apps, or e-commerce platforms.
  • Academic Research: Study vehicle attributes and market positioning for studies in economics or engineering.
  • Business Automation: Automate data feeds for dealership software or marketing campaigns.

Installation and Usage

  1. Search for "Gmc Model Scraper" in the Apify Store.
  2. Click "Try for free" or "Run".
  3. Configure input parameters (e.g., add start URLs).
  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 an array of JSON objects, each representing a GMC vehicle model. Key fields include:

  • year: The model year (e.g., "2026").
  • model: The vehicle name (e.g., "Yukon").
  • link: URL to the model's detail page.
  • prices: Object with starting and as-shown prices.
  • image: Object containing image URL and alt text.
  • attributes: Array of key-value pairs for additional specs like price, net price, body style, and year.
  • tags: Array of categorized tags for filtering (e.g., by year or segment).

This structured format ensures easy parsing and integration.

Support

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

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