PR Newswire Scraper

An Apify actor that automates data collection from PRNewswire.com. It extracts detailed press release information for media monitoring, market research, and lead generation.

Overview

This tool scrapes PR Newswire for press releases using keyword searches or direct URLs. It's designed for journalists, researchers, analysts, and business teams who need structured press release data without manual collection. The actor handles the extraction of full content, metadata, and related assets.

Key Features

• Comprehensive Data Extraction: Pulls full press release text, headlines, summaries, and datelines.
• Company & Contact Info: Collects company names, stock tickers, industry classifications, and media contact details.
• Rich Metadata: Captures publication dates, categories, distribution types, and urgency levels.
• Multimedia Support: Extracts images, videos, documents, and related links attached to releases.
• Filtered Scraping: Supports searches by keyword, date range, industry, and specific company.
• Structured Output: Returns data in JSON, CSV, Excel, XML, or HTML formats via the Apify dataset.

How to Use

Configure the actor using the input form on its Apify page. The primary method is keyword-based scraping.

Input Configuration

The main input parameters are:

• keyword (Required): Search terms (e.g., "artificial intelligence", "FDA approval").
• dateFrom: Start date in YYYY-MM-DD format (optional).
• dateTo: End date in YYYY-MM-DD format (optional).
• industry: Filter by industry like "Technology" or "Healthcare" (optional).
• companyName: Filter by a specific company (optional).
• maxItems: Maximum number of releases to collect. Default is 10.
• includeFullText: Set to true to extract the complete article text (recommended).
• includeMedia: Set to true to extract image and video attachments.

Example Input (JSON):

{
  "keyword": "artificial intelligence",
  "maxItems": 50,
  "dateFrom": "2024-01-01",
  "includeFullText": true,
  "includeMedia": false
}

Tip: Use specific keywords combined with date and industry filters for more targeted results.

Output

After the run completes, you can download the scraped data from the Apify dataset. Each press release item typically includes:

• url: The source URL of the press release.
• headline: The title of the announcement.
• fullText: The complete body text (if includeFullText is true).
• companyName: The issuing company.
• publishedDate: The release date and time.
• industry: The assigned industry/category.
• mediaContacts: Names and details of provided contacts.
• mediaUrls: Links to any attached images or videos (if includeMedia is true).

The dataset provides a structured view for analysis, integration into databases, or feeding into other monitoring tools.