# Shopify Stories Spider (`getdataforme/shopify-stories-spider`) Actor The Shopify Stories Spider is an Apify Actor designed to extract detailed content from Shopify's blog, focusing on founder stories.... - **URL**: https://apify.com/getdataforme/shopify-stories-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 0.0% 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 ## Shopify Stories Spider ### Introduction The Shopify Stories Spider is a powerful Apify Actor designed to scrape and extract valuable content from Shopify's blog, specifically focusing on founder stories. This tool is ideal for gathering insights into business strategies, brand narratives, and market trends shared by Shopify's featured entrepreneurs. ### Features - **Comprehensive Data Extraction**: Efficiently scrapes detailed articles, including titles, authors, publication dates, and full text. - **High Data Quality**: Ensures accurate and reliable data retrieval from Shopify's blog. - **Customizable Input**: Allows users to specify start URLs and item limits for tailored scraping sessions. - **Scalable Performance**: Handles large volumes of data with ease, ensuring quick and efficient processing. - **User-Friendly Configuration**: Simple setup with minimal input requirements, making it accessible for users of all technical levels. - **Versatile Output Formats**: Export results in JSON, CSV, or Excel for easy integration into various applications. - **Error Handling**: Robust mechanisms to manage and report errors during the scraping process. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|----------|----------|------------------------------------------------------|-----------------------------------------------------------| | StartUrls | array | No | The start URLs for the spider. | ["https://www.shopify.com/blog/topics/founder-stories?page=1"] | | itemLimit | integer | No | Specifies the maximum number of items to process. | 20 | ### Example Usage #### Example Input JSON ```json { "StartUrls": ["https://www.shopify.com/blog/topics/founder-stories?page=1"], "itemLimit": 20 } ```` #### Example Output JSON ```json [ { "url": "https://www.shopify.com/blog/beekman-1802-brand-strategy", "title": "Inside the Brand Strategy That Built Beekman 1802 Into a $92 Million Company", "author_name": "Shopify Staff", "author_url": "https://www.shopify.com/blog/authors/shopify-staff", "published_date": "Apr 14, 2026", "hero_image": "https://cdn.shopify.com/b/shopify-brochure2-assets/f2bb02fdb2a1e1c2fce95e8bc3ad0b0e.jpg?originalWidth=1848&originalHeight=782", "article_text": "In 2008, Dr. Brent Ridge started skin care brand...", "article_images": [], "actor_id": "cRdWbgfCr0C8KnoSn", "run_id": "nwlrgeiIGZLUe6XqD" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather insights into emerging business strategies and trends. - **Competitive Intelligence**: Analyze competitor narratives and brand positioning. - **Content Aggregation**: Compile articles for content curation and sharing. - **Academic Research**: Study entrepreneurial stories and business models. - **Business Automation**: Automate data collection for strategic planning. ### Installation and Usage ``` 1. Search for "Shopify Stories Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 output is a JSON array where each object contains: - `url`: The URL of the article. - `title`: The title of the article. - `author_name`: The name of the author. - `author_url`: The URL to the author's profile. - `published_date`: The publication date of the article. - `hero_image`: URL of the article's hero image. - `article_text`: The full text of the article. - `article_images`: Any additional images in the article. - `actor_id`: Unique identifier for the actor. - `run_id`: Unique identifier for the run. ### 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 ## `StartUrls` (type: `array`): The start urls for the spider. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## Actor input object example ```json { "StartUrls": [ "https://www.shopify.com/blog/topics/founder-stories?page=1" ], "itemLimit": 20 } ``` # 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 = { "itemLimit": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/shopify-stories-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 = { "itemLimit": 20 } # Run the Actor and wait for it to finish run = client.actor("getdataforme/shopify-stories-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 '{ "itemLimit": 20 }' | apify call getdataforme/shopify-stories-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/shopify-stories-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Stories Spider", "description": "The Shopify Stories Spider is an Apify Actor designed to extract detailed content from Shopify's blog, focusing on founder stories....", "version": "0.0", "x-build-id": "LqdK5pjJQkuQmbWMy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~shopify-stories-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-shopify-stories-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~shopify-stories-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-shopify-stories-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~shopify-stories-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-shopify-stories-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "StartUrls": { "title": "Start Urls", "minItems": 1, "type": "array", "description": "The start urls for the spider.", "default": [ "https://www.shopify.com/blog/topics/founder-stories?page=1" ], "items": { "type": "string" } }, "itemLimit": { "title": "Item Limit", "type": "integer", "description": "Specifies the maximum number of items to process.", "default": 20 } } }, "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 } } } } } } } } } } ```