Description

The Patreon Comments Parser Spider extracts and parses comments from Patreon posts, delivering structured JSON data on user interactions, timestamps, and engagement metrics....

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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:

{
  "Urls": [
    "https://www.patreon.com/posts/paternity-128762500"
  ]
}

The Actor will output a JSON array of comment objects, such as:

[
  {
    "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!