# Partnerstack Discovery Spider (`getdataforme/partnerstack-discovery-spider`) Actor The Partnerstack Discovery Spider is a web scraping tool designed to extract structured data from Partnerstack, focusing on partnership maturity and related content. It offers customizable queries, flexible item limits, and outputs high-quality JSON for easy integration.... - **URL**: https://apify.com/getdataforme/partnerstack-discovery-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% 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 --- ## README.md ### Partnerstack Discovery Spider #### Introduction The Partnerstack Discovery Spider is a powerful web scraping tool designed to extract valuable data from the Partnerstack platform. It enables users to gather insights on partnership maturity levels and related content efficiently. This actor simplifies the process of collecting structured data for analysis, research, or competitive intelligence. #### Features - **Comprehensive Data Extraction**: Scrape detailed information about articles and resources. - **Customizable Queries**: Tailor searches with specific queries to meet your needs. - **Flexible Item Limit**: Control the number of items scraped per run. - **High-Quality Output**: Receive structured JSON data for easy integration. - **User-Friendly Configuration**: Simple setup with intuitive input parameters. #### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|--------------------------| | Queries | array | No | The queries for the spider. | `["maturity"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Queries": ["maturity"], "item_limit": 10 } ```` ##### Output JSON ```json [ { "title": "How to Successfully Set Up Referral Programs (By Business Maturity Level)", "link": "/articles/how-to-set-up-referral-programs", "description": "How to Successfully Set Up Referral Programs (By Business Maturity Level). Weโ€™re sharing the tactics your business needs to know whether SMB, mid-market or enterprise.", "image": "https://cdn.prod.website-files.com/655381e691678a2583615d98/656fb5d5854a923048f54ca6_655f52d69092ef46920da0b5_How-to-Successfully-Set-Up-Referral-Programs-(By-Business-Maturity-Level).webp", "url": "partnerstack.com/articles/how-to-set-up-referral-programs", "actor_id": "TVNRlQXpQmIbijlsz", "run_id": "vuV8p0N6Zy34dtQwY" }, { "title": "Personalized Partner Journeys Definition & Meaning | PartnerStack", "link": "/glossary/personalized-partner-journeys", "description": "of offering every partner the same linear sequence of content, tasks or communications, these. journeys. adapt training, resources and messaging based on each partnerโ€™s behavior, maturity...", "image": "", "url": "partnerstack.com/glossary/personalized-partner-journeys", "actor_id": "TVNRlQXpQmIbijlsz", "run_id": "vuV8p0N6Zy34dtQwY" }, { "title": "The Four Stages of Partnership Maturity: A Benchmarking Framework for Program Leaders", "link": "/articles/four-stages-of-partnership-maturity-benchmarking-framework-for-program-leaders", "description": "The Four Stages of Partnership Maturity: A Benchmarking Framework for Program Leaders.", "image": "https://cdn.prod.website-files.com/655381e691678a2583615d98/69e149d49504ddf574254c76_four-stages-partnership-maturity.jpg", "url": "partnerstack.com/articles/four-stages-of-partnership-maturity-benchmarking-framework-for-program-leaders", "actor_id": "TVNRlQXpQmIbijlsz", "run_id": "vuV8p0N6Zy34dtQwY" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into partnership trends. - **Competitive Intelligence**: Monitor competitor strategies and maturity levels. - **Price Monitoring**: Track pricing changes in partnership programs. - **Content Aggregation**: Collect and organize relevant articles for analysis. - **Academic Research**: Support studies on business partnerships and maturity models. - **Business Automation**: Automate data collection for strategic decision-making. #### Installation and Usage 1. Search for "Partnerstack Discovery 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 output is a JSON array containing objects with the following fields: - **title**: The title of the article or resource. - **link**: Relative path to the article on Partnerstack. - **description**: A brief description of the content. - **image**: URL of an associated image, if available. - **url**: Full URL to the article. - **actor\_id**: Unique identifier for the actor run. - **run\_id**: Unique identifier for the specific run. #### Error Handling The spider is designed to handle common web scraping errors gracefully. If a page fails to load or data cannot be extracted, it logs an error message and continues with the next item. Users can review these messages in the log to identify and address issues. #### Rate Limiting and Best Practices To ensure optimal performance and avoid being blocked by Partnerstack: - Respect rate limits by configuring appropriate delays between requests. - Use a reasonable `item_limit` to prevent overloading the server. - Monitor logs for any rate-limiting warnings or errors. #### Limitations and Considerations - The spider is dependent on the structure of Partnerstack's website; changes may affect data extraction. - Ensure compliance with Partnerstack's terms of service when using this tool. - Custom queries should be tested to ensure they return relevant results. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! # Actor input Schema ## `Queries` (type: `array`): The queries for the spider. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Queries": [ "maturity" ], "item_limit": 10 } ``` # 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/partnerstack-discovery-spider").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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/partnerstack-discovery-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/partnerstack-discovery-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/partnerstack-discovery-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Partnerstack Discovery Spider", "description": "The Partnerstack Discovery Spider is a web scraping tool designed to extract structured data from Partnerstack, focusing on partnership maturity and related content. It offers customizable queries, flexible item limits, and outputs high-quality JSON for easy integration....", "version": "0.0", "x-build-id": "gwCgMrnfSKyujbokM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~partnerstack-discovery-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-partnerstack-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~partnerstack-discovery-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-partnerstack-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~partnerstack-discovery-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-partnerstack-discovery-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Queries": { "title": "Queries", "type": "array", "description": "The queries for the spider.", "default": [ "maturity" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```