Macy's News Articles Actor ## Overview The Macy's News Articles Actor is a powerful Apify web scraping tool designed to extract press releases and news articles from Macy's official newsroom. This actor provides structured access to Macy's corporate communications, including announcements about new products, campaigns, financial updates, partnerships, and company initiatives. ## Key Features - Paginated Data Extraction: Retrieve news articles from specific pages - Year-Based Filtering: Target news from specific years - Rich Metadata: Extract comprehensive article information including headlines, dates, categories, and media assets - Rate Limiting: Built-in delays to ensure respectful scraping - Structured Output: Clean JSON format for easy integration ## Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | page | number | Yes | 1 | The page number to scrape (1-based indexing) | | year | string | Yes | "2025" | The year to filter news articles (format: "YYYY") | ### Input Example json { "page": 1, "year": "2025" } ## Output Format The actor returns a structured JSON object containing an array of press releases with the following fields: - Headline: Article title - PressReleaseDate: Publication date and time - Category: Article category/classification - LinkToDetailPage: Relative URL to full article - MediaCollection: Array of associated images with metadata - TagsList: Associated tags/keywords - ShortDescription: Brief article summary - SeoName: SEO-friendly URL slug ### Output Example json { "GetPressReleaseListResult": [ { "Headline": "Macy's Kicks off 100 Days to Christmas", "PressReleaseDate": "09/16/2025 11:15:00", "LinkToDetailPage": "/newsroom/news/news-details/2025/Macys-Kicks-off-100-Days-to-Christmas/default.aspx", "MediaCollection": [ { "Alt": "Macy's kicks off 100 Days to Christmas...", "SourceUrl": "https://mms.businesswire.com/media/...", "Height": 480, "Width": 336 } ], "TagsList": ["Macy's"], "SeoName": "Macys-Kicks-off-100-Days-to-Christmas" } ] } ## Use Cases ### 1. Media Monitoring & PR Intelligence - News Agencies: Track Macy's announcements for breaking retail news - PR Agencies: Monitor competitor communications and campaign launches - Journalists: Research Macy's corporate activities and press statements ### 2. Market Research & Business Intelligence - Retail Analysts: Analyze Macy's strategic initiatives and product launches - Investment Research: Monitor corporate announcements affecting stock performance - Competitive Intelligence: Track Macy's marketing campaigns and business moves ### 3. Brand Monitoring & Reputation Management - Marketing Teams: Monitor Macy's brand messaging and communication strategies - Social Media Managers: Source official content for social media monitoring - Brand Consultants: Analyze Macy's corporate communication patterns ### 4. Academic & Industry Research - Retail Industry Studies: Research trends in department store communications - Marketing Research: Analyze corporate announcement strategies - Business Schools: Case study material for retail marketing courses ### 5. Content Creation & Curation - Content Marketers: Source official announcements for industry content - Newsletter Publishers: Curate retail industry news and updates - Blog Writers: Reference official Macy's announcements in retail articles ### 6. Data Analytics & Trend Analysis - Data Scientists: Analyze announcement frequency and content patterns - Trend Forecasters: Identify emerging retail themes and initiatives - Business Intelligence Teams: Create dashboards tracking retail industry news ## Getting Started 1. Configure Input: Set your desired page number and year parameters 2. Run the Actor: Execute the scraping process 3. Retrieve Data: Access structured news data via Apify's dataset API 4. Integrate: Use the JSON output in your applications or analysis tools ## Best Practices - Respectful Usage: The actor includes built-in delays to avoid overwhelming Macy's servers - Data Freshness: Run regularly to capture new announcements as they're published - Error Handling: Monitor runs for any input validation errors - Pagination: Iterate through multiple pages to capture complete datasets ## Technical Specifications - Runtime: Node.js environment on Apify platform - Rate Limiting: Random delays (0-900ms) between requests - Error Handling: Input validation for required parameters - Output Storage: Automatic data push to Apify dataset ## Pricing & Usage This actor operates on Apify's usage-based pricing model. Costs depend on: - Compute units consumed during execution - Data storage requirements - API request volume ## Support & Updates The Macy's News Articles Actor is actively maintained and updated to ensure compatibility with any changes to Macy's newsroom structure. For support, feature requests, or custom modifications, contact us through Apify's platform. --- Tags: retail news, press releases, corporate communications, media monitoring, business intelligence, Macy's, department store, retail analytics, news scraping, market research For additional support, refer to the Apify documentation or contact us.