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Reddit Comment Scraper

Last updated May 21, 2026

Automation templates and an optional n8n community node for the Reddit Comment Scraper Apify Actor.

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Included Nodes

Reddit Comment Scraper

Description

n8n Nodes: Reddit Comment Scraper

![npm version](https://www.npmjs.com/package/n8n-nodes-reddit-comment-scraper)
![License: MIT](LICENSE)

Run the private Reddit Comment Scraper Apify Actor from n8n and return one n8n item per Reddit comment.

Status

This package is an optional shortcut for self-hosted n8n users. It is not the recommended n8n Cloud path.

!Reddit Comment Scraper n8n workflow

n8n declined verified listing for this package because it wraps an Apify Actor and n8n already has an Apify node. For n8n Cloud and verified-node workflows, use the official Apify node package instead:

@apify/n8n-nodes-apify

The recommended workflow is: official Apify node -> Run actor and get dataset -> Actor ID Newbs/reddit-comment-scraper.

This package is only a public n8n wrapper. It does not contain the Actor scraping implementation, browser automation logic, proxy handling, or any Apify secrets. Users bring their own Apify API token, and the paid Actor runs on Apify.

Links

  • n8n package: https://www.npmjs.com/package/n8n-nodes-reddit-comment-scraper
  • Newbs workflow repository: GitHub repository
  • Apify Actor: https://apify.com/Newbs/reddit-comment-scraper?fpr=nmao3
  • Apify n8n docs: https://docs.apify.com/platform/integrations/n8n
  • Multi-platform distribution plan: examples/official-apify-workflows:

    | Workflow | Purpose |
    | —————————————- | ——————————————————————– |
    | reddit-comments-clean-export.json | Normalize comments for Sheets, CSV, Airtable, or databases. |
    | reddit-pain-point-keywords.json | Find comments with pain-point language for product research. |
    | reddit-thread-metrics.json | Aggregate reply ratio, max depth, and author counts by Reddit post. |
    | reddit-ai-research-brief.json | Build a compact AI-ready research brief from comments. |
    | reddit-brand-monitor-slack.json | Filter brand/competitor mentions and prepare Slack-ready alert text. |
    | reddit-competitor-research-sheets.json | Prepare Google Sheets-ready competitor research rows. |

    These templates use @apify/n8n-nodes-apify and are the best option for n8n Cloud or verified-node workflows.

    Promotion copy and posting drafts are included in examples/make | Make.com scenario template specs for Sheets, Slack, Airtable, and AI briefs. |
    | examples/zapier | Zapier template specs plus a Webhooks by Zapier direct Apify API fallback. |
    | examples/pipedream | Pipedream copy-paste components for Sheets-ready rows and Slack alerts. |
    | examples/ai-agents | OpenAPI schema for GPT Actions and a local MCP server proof of concept. |

    These assets call the Apify Actor. They do not include the private scraping implementation.

    Self-hosted shortcut examples for this package are included in examples/workflows:

    | Workflow | Purpose |
    | ———————————– | ——————————————————————- |
    | reddit-comments-clean-export.json | Normalize comments for Sheets, CSV, Airtable, or databases. |
    | reddit-pain-point-keywords.json | Find comments with pain-point language for product research. |
    | reddit-thread-metrics.json | Aggregate reply ratio, max depth, and author counts by Reddit post. |

    To use the self-hosted shortcut examples:

    1. Install this community node.
    2. Import one workflow JSON file into n8n.
    3. Add your Apify API credential to the Scrape Reddit Comments node.
    4. Replace the example Reddit URL.
    5. Start with a low Maximum Comments value for the first paid test run.

    Monetization

    This node does not charge users directly. It routes usage to the Apify Actor, where pay-per-event billing is configured. When n8n users run the node with their Apify API token, the Actor run is billed through Apify and creator revenue is handled by Apify Store monetization.

    Example Use Cases

  • Reddit comments to Google Sheets.
  • Reddit sentiment monitoring to Slack.
  • Product pain-point extraction from Reddit discussions.
  • Market research pipelines into Notion or Airtable.
  • AI agent workflows that use Reddit comments as source material.

Development

npm install
npm run lint
npm run check
npm run check:distribution
npx @n8n/scan-community-package n8n-nodes-reddit-comment-scraper

npm run check builds the TypeScript node and verifies the package contents with npm pack --dry-run.

Publish

Publish through GitHub Actions with npm provenance enabled. The included .github/workflows/publish.yml file is ready for the public wrapper repository.

The package was published with npm provenance so n8n can verify that it was built from this GitHub repository.