Description

This Apify Actor extracts precise historical stock price data from Evercommerce's investor site, including open, high, low, close prices, and volumes in clean JSON format....

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Evercommerce Historicalprice Parser Spider

Introduction

The Evercommerce Historicalprice Parser Spider is a powerful Apify Actor designed to extract historical stock price data from Evercommerce's investor website. It efficiently scrapes and parses price information for specified dates, providing structured data on closing prices, volumes, and more. This tool is ideal for investors, analysts, and businesses needing reliable historical financial data for market analysis and decision-making.

Features

• Accurate Data Extraction: Retrieves precise historical price data including open, high, low, and closing prices directly from Evercommerce's official source.
• Customizable Date Selection: Allows users to specify exact months, days, and years for targeted data retrieval.
• Multiple URL Support: Handles an array of URLs for batch processing, enabling efficient scraping of multiple endpoints.
• Structured Output: Delivers clean, JSON-formatted results with fields like volume, split adjustment factors, and actor/run IDs for easy integration.
• High Reliability: Built with robust error handling to ensure consistent performance and data integrity.
• Fast Processing: Optimized for quick execution, minimizing wait times even for large date ranges.
• Apify Integration: Seamlessly integrates with Apify's platform for scheduling, monitoring, and exporting data in various formats.

Input Parameters

Parameter	Type	Required	Description	Example
Month	string	No	The month for the spider (e.g., "01" for January). Defaults to "01".	"12"
Day	string	No	The day for the spider (e.g., "15"). Defaults to "02".	"29"
Year	string	No	The year for the spider (e.g., "2023"). Defaults to "2026".	"2025"
Urls	array	Yes	An array of URLs to scrape. Must be valid HTTP/HTTPS URLs, minimum 1 item.	["https://investors.evercommerce.com/stock-information/historic-price-lookup"]

Example Usage

Input JSON

{
  "Month": "12",
  "Day": "29",
  "Year": "2025",
  "Urls": [
    "https://investors.evercommerce.com/stock-information/historic-price-lookup"
  ]
}

Output JSON

[
  {
    "date_requested": "December 29, 2025",
    "closing_price": "$12.20",
    "volume": "84,406",
    "split_adjustment_factor": "1:1",
    "open_price": "$11.99",
    "day_high": "$12.22",
    "day_low": "$11.86",
    "actor_id": "YsTe6exa0EDxvgNRK",
    "run_id": "gtbZLiAMjTD27uzLz"
  },
  {
    "date_requested": "December 30, 2025",
    "closing_price": "$12.14",
    "volume": "97,707",
    "split_adjustment_factor": "1:1",
    "open_price": "$12.20",
    "day_high": "$12.44",
    "day_low": "$12.10",
    "actor_id": "YsTe6exa0EDxvgNRK",
    "run_id": "gtbZLiAMjTD27uzLz"
  },
  {
    "date_requested": "December 31, 2025",
    "closing_price": "$12.11",
    "volume": "87,360",
    "split_adjustment_factor": "1:1",
    "open_price": "$12.20",
    "day_high": "$12.22",
    "day_low": "$12.01",
    "actor_id": "YsTe6exa0EDxvgNRK",
    "run_id": "gtbZLiAMjTD27uzLz"
  }
]

Use Cases

• Market Research and Analysis: Gather historical price data to analyze trends and predict future stock movements.
• Competitive Intelligence: Monitor Evercommerce's stock performance against competitors for strategic insights.
• Price Monitoring: Set up automated alerts or reports on price fluctuations for investment portfolios.
• Content Aggregation: Collect and aggregate financial data for blogs, newsletters, or financial apps.
• Academic Research: Provide datasets for studies on stock market behavior and economic indicators.
• Business Automation: Integrate with dashboards or tools for real-time financial reporting and decision support.

Installation and Usage

1. Search for "Evercommerce Historicalprice Parser 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 Actor outputs an array of JSON objects, each representing a day's stock data. Key fields include:

• date_requested: The requested date in a readable format.
• closing_price: The stock's closing price for the day.
• volume: Trading volume.
• split_adjustment_factor: Adjustment for stock splits.
• open_price, day_high, day_low: Opening, highest, and lowest prices.
• actor_id and run_id: Identifiers for tracking the Apify run.

Data is reliable and sourced directly from Evercommerce, ensuring accuracy for financial applications.

Support

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

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

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

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