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Aem Article Detail Opp Spider

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from $9.00 / 1,000 results

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Aem Article Detail Opp Spider

Aem Article Detail Opp Spider

The Aem Article Detail Opp Spider is a robust web scraping tool designed for extracting detailed article information from specified URLs....

Pricing

from $9.00 / 1,000 results

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0.0

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Developer

GetDataForMe

GetDataForMe

Maintained by Community

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0

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2

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1

Monthly active users

3 days ago

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Aem Article Detail Opp Spider

Introduction

The Aem Article Detail Opp Spider is a powerful web scraping tool designed to extract detailed information from specified URLs. It efficiently gathers article titles, images, dates, descriptions, and related links, providing comprehensive data for analysis and reporting.

Features

  • Comprehensive Data Extraction: Captures essential details such as post titles, images, and descriptions.
  • Flexible URL Configuration: Allows input of multiple URLs to scrape.
  • Customizable Item Limits: Set a maximum number of items to scrape per run.
  • High-Quality Output: Ensures data reliability with structured JSON output.
  • User-Friendly Setup: Easy configuration through the Apify Store interface.

Input Parameters

ParameterTypeRequiredDescriptionExample
ProductUrlsarrayYesThe product URLs for the spider.["https://www.aem.org/news/join-aem%E2%80%99s-member-education-webinar-standards-development-%E2%80%93-autonomy-to-stay-on-top-of-key-industry"]
item_limitintegerNoMaximum items to scrape per actor run. Set to 0 for no limit.10

Example Usage

Input JSON

{
"ProductUrls": [
"https://www.aem.org/news/join-aem%E2%80%99s-member-education-webinar-standards-development-%E2%80%93-autonomy-to-stay-on-top-of-key-industry"
],
"item_limit": 10
}

Output JSON

[
{
"post_title": "Join AEM\u2019s Member Education Webinar: Standards Development \u2013 Autonomy to Stay on Top of Key Industry Standards Work",
"post_image": "https://divvyhq-media-production.s3.amazonaws.com/attachments/7b161f36e689c450696a3342d2c20b26cd8afb4c31e1e0e5c2c33a28d3736fd9/Standards_Development_Insert.png",
"posted_date": "5/1/2025",
"time_duration_to_read": "Less Than a Minute Read",
"description": "Read About the Latest Industry News. Advancing Equipment Manufacturers in the Global Marketplace. Advocacy, Trade Shows, Market Data and Safety.",
"related_articles": [
"https://www.aem.org/news/your-\u2018moment-to-rise\u2019-starts-now-aem-annual-conference-registration-is-open",
"https://www.aem.org/news/dairy-equipment-leaders-convene-at-aem\u2019s-milwaukee-headquarters",
"https://www.aem.org/news/submit-session-content-for-aem\u2019s-product-safety-stewardship-conference",
"https://www.aem.org/news/aem-peer-groups-are-forming-now-\u2013-secure-your-spot-by-june-26",
"https://www.aem.org/news/aem-looks-to-redefine-the-aftermarket-segment-through-its-new-customer-lifecycle-support-executive-c"
],
"actor_id": "1xFGPBLet5TxAWGcI",
"run_id": "bLhTDzlOenMMrhNhR"
}
]

Use Cases

  • Market Research and Analysis: Extract detailed article data for market insights.
  • Competitive Intelligence: Monitor competitor content strategies.
  • Price Monitoring: Track pricing information in industry articles.
  • Content Aggregation: Compile related articles for comprehensive reports.
  • Academic Research: Gather data for research projects.
  • Business Automation: Automate data collection processes.

Installation and Usage

  1. Search for "Aem Article Detail Opp 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 the following fields:

  • post_title: The title of the article.
  • post_image: URL of the image associated with the post.
  • posted_date: Date when the article was posted.
  • time_duration_to_read: Estimated reading time.
  • description: Brief description of the article content.
  • related_articles: List of URLs to related articles.
  • actor_id: Unique identifier for the actor run.
  • run_id: Unique identifier for the specific run.

Support

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

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