apify-reddit-scraper

apify-reddit-scraper is a skill for Claude Code from iradoweck/antigravity-awesome-skills. It costs 48 tokens per session (4,285 once invoked), scanned A, a copy of apify-reddit-scraper, MIT.

A tool for collecting public Reddit posts, comments, communities, and user information as structured data. Reddit is a discussion website organised into topic-based communities called subreddits.

In plain words
What is it for?
Use it to monitor brand or competitor mentions, search communities, collect recent posts, inspect user or subreddit details, and retrieve thread comments.
Why use it?
It avoids needing a Reddit API key when you need to search or collect public Reddit data. It can also retrieve complete discussion threads and filter results by keywords or dates.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; mentions Codex.

Part of the agentic-awesome-skills plugin — 255 skills shipped together

Good fit Use it to monitor brand or competitor mentions, search communities, collect recent posts, inspect user or subreddit details, and retrieve thread comments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add iradoweck/antigravity-awesome-skills --skill apify-reddit-scraper
Clone the repo
git clone --depth 1 https://github.com/iradoweck/antigravity-awesome-skills

Made for: Claude Code.

Or install agentic-awesome-skills, the plugin that ships this one along with the rest of its 255 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for apify-reddit-scraper

README.md
[![agentmods](https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper/github.svg)](https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper)
Your own site
<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for apify-reddit-scraper

Your own site · 80×15
<a href="https://agentmods.dev/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper"><img src="https://agentmods.dev/badge/skills/iradoweck/antigravity-awesome-skills/apify-reddit-scraper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,285 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.04285
Opus 5.5 $0.00019 $0.01714
Sonnet 5.5 $0.00010 $0.00857
Haiku 4.5 $0.00005 $0.00428

Measured 4d ago against content hash 6e7ec11933e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

apify-reddit-scraper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to apify-reddit-scraper — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentic-awesome-skills-claude/skills/apify-reddit-scraper/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reddit Scraper

Turn a plain-language Reddit request into one run of harshmaur/reddit-scraper and hand back structured posts, comments, users or communities. One Actor covers search, subreddit listings, permalinks, user profiles and community metadata, so routing is about picking the right input field, not the right Actor.

Disclosure: the Actor this skill routes to is paid (pay per result) and built by the skill author. Links carry no affiliate parameters.

When to Use

  • The user wants Reddit posts, comments, subreddits or user profiles as structured data.
  • The user wants to monitor a brand, product or competitor on Reddit, or track mentions since a date.
  • The user wants every comment from a thread, or the newest posts from one or more subreddits.
  • The user lost access to the Reddit API or Reddit RSS feeds and needs the same data without an API key.

Example prompts

Prompts this skill handles:

  • "Find every Reddit post from the last 30 days where someone asks for a Notion alternative, and pull the comments."
  • "Scrape the newest 200 posts in r/SaaS and r/startups."
  • "Give me all comments on this thread: https://www.reddit.com/r/webdev/comments/abc123/..."
  • "Track mentions of Linear and Jira on Reddit since 2026-08-01 and send each hit to my Slack channel."
  • "What has u/spez posted recently?"

Out of scope (the boundary):

  • "Post a reply in r/startups" — this Actor only reads Reddit. Use the Reddit API with the user's own account.
  • "Find Reddit threads about the pain of managing invoices" — Reddit search is literal keyword matching, not semantic. Expand the topic into 3–8 short literal keywords first (see Step 1), then run one search per keyword.

Prerequisites

  • Apify account (sign up); the free plan covers small runs.
  • Authentication via one of:
  • Apify CLI (npm install -g apify-cli), or the Apify MCP server (see "Calling the Actor").

Read the full file on GitHub · 210 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 210 lines · 48 tokens per session scan A 6e7ec11933e9

Subscribe to this mod's changes

apify-reddit-scraper is a skill published in the GitHub repository iradoweck/antigravity-awesome-skills (30 stars, last pushed 5d ago), licensed MIT. It adds 48 tokens to every session and 4,285 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to apify-reddit-scraper, differing in 18 lines, and is treated as a copy.

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