# Evercommerce Historicalprice Parser Spider (`getdataforme/evercommerce-historicalprice-parser-spider`) Actor 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.... - **URL**: https://apify.com/getdataforme/evercommerce-historicalprice-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 70.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### 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.... --- ## 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 ```json { "Month": "12", "Day": "29", "Year": "2025", "Urls": [ "https://investors.evercommerce.com/stock-information/historic-price-lookup" ] } ```` #### Output JSON ```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! *** # Actor input Schema ## `Month` (type: `string`): The month for the spider. ## `Day` (type: `string`): The day for the spider. ## `Year` (type: `string`): The year for the spider. ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Month": "01", "Day": "02", "Year": "2026", "Urls": [ "https://investors.evercommerce.com/stock-information/historic-price-lookup" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/evercommerce-historicalprice-parser-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/evercommerce-historicalprice-parser-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/evercommerce-historicalprice-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/evercommerce-historicalprice-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Evercommerce Historicalprice Parser Spider", "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....", "version": "0.0", "x-build-id": "oHpjr2elAXvxjTWQP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~evercommerce-historicalprice-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-evercommerce-historicalprice-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~evercommerce-historicalprice-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-evercommerce-historicalprice-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~evercommerce-historicalprice-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-evercommerce-historicalprice-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "Month": { "title": "Month", "type": "string", "description": "The month for the spider.", "default": "01" }, "Day": { "title": "Day", "type": "string", "description": "The day for the spider.", "default": "02" }, "Year": { "title": "Year", "type": "string", "description": "The year for the spider.", "default": "2026" }, "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://investors.evercommerce.com/stock-information/historic-price-lookup" ], "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```