# Patreon Comments Parser Spider (`getdataforme/patreon-comments-parser-spider`) Actor The Patreon Comments Parser Spider extracts and parses comments from Patreon posts, delivering structured JSON data on user interactions, timestamps, and engagement metrics.... - **URL**: https://apify.com/getdataforme/patreon-comments-parser-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Automation, Lead generation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 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 The Patreon Comments Parser Spider extracts and parses comments from Patreon posts, delivering structured JSON data on user interactions, timestamps, and engagement metrics.... --- ## Patreon Comments Parser Spider ### Introduction The Patreon Comments Parser Spider is a powerful Apify Actor designed to extract and parse comments from Patreon posts efficiently and reliably. It enables users to gather detailed comment data, including user interactions, timestamps, and engagement metrics, directly from specified Patreon URLs. This tool is ideal for researchers, marketers, and content creators who need structured insights into community discussions on Patreon platforms. ### Features - **Comprehensive Comment Extraction**: Scrapes all comments from Patreon posts, including nested replies and metadata. - **High Reliability**: Handles dynamic content loading and ensures data accuracy with robust error handling. - **Structured Output**: Delivers clean, JSON-formatted data with fields like comment ID, body, timestamps, and user details. - **Scalable Performance**: Processes multiple URLs concurrently, optimized for large-scale data collection. - **Privacy-Compliant**: Extracts publicly available data without requiring authentication or violating platform terms. - **Easy Integration**: Seamlessly integrates with Apify's ecosystem for further processing, storage, or analysis. - **Real-Time Insights**: Captures vote sums, creator/patron flags, and creation dates for in-depth engagement analysis. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | An array of Patreon post URLs to scrape comments from. Each URL must be a valid HTTP/HTTPS link to a Patreon post. | ["https://www.patreon.com/posts/paternity-128762500"] | ### Example Usage To run the Actor, provide the input in JSON format: ```json { "Urls": [ "https://www.patreon.com/posts/paternity-128762500" ] } ```` The Actor will output a JSON array of comment objects, such as: ```json [ { "comment_id": "200677892", "post_id": "128762500", "comment_body": "Congratulation and welcome to the club :) ", "created_at": "2026-01-23T10:24:56.508+00:00", "is_by_creator": false, "is_by_patron": false, "vote_sum": 0, "commenter_id": "184193933", "commenter_identity_id": "u184193933", "parent_id": null, "actor_id": "65R2VD3QisZMzJHBf", "run_id": "NBK7ZFdV0eKTuEALG" }, { "comment_id": "192327741", "post_id": "128762500", "comment_body": "Congratulations!", "created_at": "2025-11-01T21:56:39.955+00:00", "is_by_creator": false, "is_by_patron": false, "vote_sum": 0, "commenter_id": "44240933", "commenter_identity_id": "u44240933", "parent_id": null, "actor_id": "65R2VD3QisZMzJHBf", "run_id": "NBK7ZFdV0eKTuEALG" }, { "comment_id": "190463009", "post_id": "128762500", "comment_body": "Congratulations to you and your wife, Grant. I wish the three of you lot's of fun, and I know that things will only get more interesting over time. Here's a suggestion for first reading/viewing:\nhttps://www.youtube.com/watch?v=CcnLnKU26dg\nMaybe collaborate with Chris Ferrie in the future?\nGreetings from the Netherlands.", "created_at": "2025-10-15T08:47:25.773+00:00", "is_by_creator": false, "is_by_patron": true, "vote_sum": 1, "commenter_id": "189383180", "commenter_identity_id": "u189383180", "parent_id": null, "actor_id": "65R2VD3QisZMzJHBf", "run_id": "NBK7ZFdV0eKTuEALG" } ] ``` ### Use Cases - **Community Engagement Analysis**: Monitor and analyze user interactions on Patreon posts to gauge audience sentiment and loyalty. - **Content Strategy Research**: Identify popular topics and comment trends to inform future content creation and posting schedules. - **Market Research**: Collect feedback from patrons to understand preferences and improve offerings for creators. - **Academic Studies**: Gather data for sociological or media studies on online communities and digital patronage models. - **Competitive Intelligence**: Compare comment volumes and engagement across similar Patreon creators or campaigns. - **Automated Reporting**: Integrate with dashboards for real-time reporting on comment activity and patron behavior. ### Installation and Usage 1. Search for "Patreon Comments Parser 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 of objects, each representing a comment. Key fields include: - `comment_id`: Unique identifier for the comment. - `post_id`: ID of the associated Patreon post. - `comment_body`: The full text content of the comment. - `created_at`: ISO 8601 timestamp of when the comment was posted. - `is_by_creator`: Boolean indicating if the comment is from the post creator. - `is_by_patron`: Boolean indicating if the commenter is a patron. - `vote_sum`: Total upvotes or votes on the comment. - `commenter_id` and `commenter_identity_id`: Identifiers for the commenter. - `parent_id`: ID of the parent comment (null for top-level comments). - `actor_id` and `run_id`: Apify-specific identifiers 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 ## `Urls` (type: `array`): The urls for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "Urls": [ "https://www.patreon.com/posts/paternity-128762500" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/patreon-comments-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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/patreon-comments-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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/patreon-comments-parser-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/patreon-comments-parser-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Patreon Comments Parser Spider", "description": "The Patreon Comments Parser Spider extracts and parses comments from Patreon posts, delivering structured JSON data on user interactions, timestamps, and engagement metrics....", "version": "0.0", "x-build-id": "G5FnqXY4Pf1plFVbP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~patreon-comments-parser-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-patreon-comments-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~patreon-comments-parser-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-patreon-comments-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~patreon-comments-parser-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-patreon-comments-parser-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://www.patreon.com/posts/paternity-128762500" ], "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```