Reddit Comment Scraper icon

Reddit Comment Scraper

Run the Reddit Comment Scraper Apify Actor and return Reddit comments to n8n.

Start Run Only

AI-generated

Summary

Start an Apify Actor run to scrape comments from specified Reddit posts and return run metadata immediately, without waiting for completion or fetching comments. Requires Apify API credentials.

Inputs

  • actorId (required) — Required Actor ID in username/actor-name or username~actor-name format. Defaults to Newbs/reddit-comment-scraper.
  • postUrls (required) — Required Reddit post URLs separated by newlines or commas. URLs must match https://www.reddit.com/r//comments//…; whitespace and empty entries are removed, and duplicate URLs are deduplicated.
  • maxComments — Maximum comments to collect per post, passed to the Actor. Defaults to 500; clamped to 1–5000.
  • includeReplies — Whether the Actor should collect nested replies and preserve thread context. Defaults to true.
  • sortBy — Comment sort order passed to the Actor: best, controversial, new, old, qa, or top. Defaults to top.
  • maxConcurrency — Maximum posts the Actor should process concurrently. Defaults to 2; clamped to 1–4.
  • useApifyProxy — Include Apify Proxy configuration in the Actor input when enabled. Defaults to true; disabling it omits the proxy configuration.
  • proxyGroup — Proxy group used when Use Apify Proxy is enabled: DATACENTER or RESIDENTIAL. Defaults to RESIDENTIAL.
  • proxyCountry — Two-letter proxy country code used when Use Apify Proxy is enabled. Defaults to US.
  • buildTag — Actor build tag to run. Defaults to latest.
  • memoryMbytes — Memory allocation sent to Apify in MB. Defaults to 1024; the UI declares a range of 512–4096.
  • actorTimeoutSeconds — Actor runtime limit sent to Apify in seconds. Defaults to 1800; the UI declares a range of 60–7200.

Output shape

One JSON run-metadata item per incoming n8n item.

Returns apifyActorId, apifyRunId, apifyStatus, apifyDatasetId, startedAt, finishedAt, and stats from the start response. Missing string identifiers or status become empty strings; timestamps and stats may be absent. Each input item starts a separate run. No completion polling or dataset retrieval occurs. With Continue On Fail enabled, a failed item returns an object containing error instead.

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