apify-ultimate-scraper

A command-line tool for collecting information from websites and online platforms through Apify, a web-scraping service. It covers services such as Instagram, TikTok, YouTube, LinkedIn, Google Maps, Reddit, and others.

In plain words
What is it for?
Use it for lead generation, brand and competitor monitoring, influencer discovery, trend research, and extracting data from supported platforms.
Why use it?
It avoids building a separate scraper for each website and provides command output that can be read reliably by other programs.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/apify/apify-cursor-plugin/apify-ultimate-scraper
Any agent
npx skills add apify/apify-cursor-plugin --skill apify-ultimate-scraper
Clone the repo
git clone --depth 1 https://github.com/apify/apify-cursor-plugin

Made for: Claude Code, Codex.

Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,918 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00097 $0.01918
Opus 5 $0.00048 $0.00959
Sonnet 5 $0.00019 $0.00384
Haiku 4.5 $0.00010 $0.00192

Measured 2d ago against content hash 25db652fea4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

apify-ultimate-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 2d 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

Copies of this mod

1 near-identical copy found in the catalogue:

apify/skills/apify-ultimate-scraper/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Universal web scraper

AI-driven data extraction from ~100 Actors across 15+ platforms via the Apify CLI.

Rule: Pass --json and redirect stderr with 2>/dev/null on data-returning commands (actors call, actors start, actors info, actors search, datasets get-items, runs info). JSON output is stable across CLI versions. stderr contains progress messages and version warnings that break JSON parsers if not redirected.

This rule does not apply to status/auth commands (apify info, apify --version, apify login). For those, use 2>&1 so authentication and version errors are visible.

Exception: if --input returns no data, re-run with 2>&1 to confirm whether the cause is a missing schema vs. a network/auth error.

Prerequisites

  • Apify CLI v1.4.0+ (npm install -g apify-cli)
  • Authenticated session (see below)

Authentication

If a CLI command fails with an auth error, authenticate using one of these methods:

  1. OAuth (interactive): apify login (opens browser)
  2. Environment variable: export APIFY_TOKEN=your_token_here
  3. From .env file: source .env (if the file contains APIFY_TOKEN=...)

Generate token: https://console.apify.com/settings/integrations

Workflow

Step 0: Verify CLI readiness before doing anything else

Before using the Apify CLI, always verify the local environment:

  1. Check that the CLI is installed:
    apify --help

If this fails, install the CLI first:

       npm install -g apify-cli
  1. Check that the CLI is authenticated:
    # Auth check — do NOT pipe to /dev/null, you need to see errors
    apify info 2>&1

If this shows the user is not logged in, instruct them to authenticate with a token:

    apify login --token TOKEN
  1. Run Apify CLI commands with all permissions when needed by the agent sandbox.

  2. Assume many Apify commands block with zero output until completion. For blocking runs, set block_until_ms to at least 60000.

Read the full file on GitHub · 176 lines

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. 2d ago First seen · 176 lines · 97 tokens per session scan A 25db652fea4b

Subscribe to this mod's changes

apify-ultimate-scraper is a skill published in the GitHub repository apify/apify-cursor-plugin (3 stars, last pushed 8d ago), licensed Apache-2.0. It adds 97 tokens to every session and 1,918 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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