wirepulse

WirePulse is a powerful Apify Actor designed to fetch real-time financial press releases by ticker symbol. It provides access to company announcements and financial news before they hit general news outlets, giving you a competitive edge in financial markets.

What WirePulse Does

WirePulse connects to premium financial data feeds and retrieves press releases from major wire services. Whether you're tracking specific companies or monitoring the entire market, WirePulse delivers timely, structured data that can be integrated into your trading algorithms, news aggregators, or research workflows.

The Actor supports two operational modes:

• REST Mode: Make periodic API requests to fetch historical or recent press releases
• WebSocket Mode: Establish a real-time connection to receive press releases as they are published

Input Parameters

WirePulse accepts four input parameters:

1. Mode (mode)

• Type: String enum
• Values: rest or websocket
• Default: rest
• Description: Determines whether to use REST API polling or WebSocket streaming for data retrieval

2. Ticker Symbols (tickers)

• Type: Array of strings
• Default: Empty array []
• Description: List of ticker symbols to monitor (e.g., AAPL, TSLA, MSFT). Leave empty to receive press releases for all available tickers

3. Limit (limit)

• Type: Integer
• Default: 20
• Maximum: 100
• Description: Number of articles to retrieve per request. Only applies when using REST mode

4. Duration Seconds (duration_seconds)

• Type: Integer
• Default: 30
• Description: Length of time in seconds to listen for press releases when using WebSocket mode

Authentication

Before running the Actor, you must configure your API key in the Apify Console:

1. Go to your Actor's detail page in the Apify Console
2. Navigate to the Environment variables section
3. Add a new variable named WIRE_API_KEY
4. Enter your API key as the value
5. Save the configuration

The Actor will fail to start if the WIRE_API_KEY environment variable is not set.

REST vs WebSocket Mode

REST Mode is ideal for:

• Batch processing historical data
• Scheduled data retrieval
• Applications that don't require real-time updates
• Data archival and backup
• Initial data seeding

WebSocket Mode is ideal for:

• Real-time trading systems
• Live news feeds
• Immediate alerting systems
• High-frequency monitoring
• Time-sensitive applications

Output Format

Each press release is pushed to the Actor's dataset with the following fields:

• ticker: The stock ticker symbol
• exchange: The stock exchange (e.g., NASDAQ, NYSE)
• title: The headline of the press release
• source: Always "Wire Service"
• published: ISO timestamp when the release was published
• summary: First 500 characters of the article body
• full_text: Complete article body

Example Use Cases

Earnings Tracking

Monitor press releases for earnings announcements to trigger automated trading strategies or notify investors immediately when quarterly results are published.

Biotech FDA Alerts

Track pharmaceutical and biotech companies for FDA approval announcements, clinical trial results, or regulatory updates that can cause significant stock price movements.

Merger & Acquisition Announcements

Watch for M&A activity press releases that can dramatically affect stock prices and market sentiment.

Real-Time Trading Bots

Feed live press release data into algorithmic trading systems to make split-second decisions based on breaking company news.

Compliance & Risk Management

Monitor portfolio companies for unexpected announcements that might affect risk profiles or compliance requirements.

Financial News Aggregation

Build comprehensive news feeds that combine press releases from multiple sources with traditional news coverage for complete market intelligence.

Getting Started

1. Configure your WIRE_API_KEY environment variable in the Apify Console
2. Select your preferred mode (REST or WebSocket)
3. Enter ticker symbols to monitor, or leave empty for all tickers
4. Set appropriate limits or duration based on your use case
5. Run the Actor and access your data in the Apify dataset

Support

For questions or issues, please refer to the Apify documentation or contact support through your Apify account.