apify-scrapers

apify-scrapers is a skill for Claude Code from Casper-Studios/casper-marketplace. It costs 105 tokens per session (3,559 once invoked), scanned A, original, MPL-2.0.

A collection of workflows for collecting public content from social networks, websites, business listings, and reviews through Apify, a service that runs web-scraping programs called actors. It includes platform-specific guidance and scripts.

In plain words
What is it for?
Use it to collect content from Twitter/X, Reddit, LinkedIn, Instagram, Facebook, TikTok, YouTube, Google Maps, and websites. Jobs include gathering posts, comments, reviews, business details, emails, and phone numbers.
Why use it?
It removes the need to design a separate scraper and setup process for every supported source. The platform-specific instructions help choose an appropriate way to collect posts, profiles, videos, businesses, or contact details.

Skill for Claude Code

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/scrape_contact_info.py "https://example.com" --depth 2.

Part of the research plugin — 2 skills shipped together

Good fit Use it to collect content from Twitter/X, Reddit, LinkedIn, Instagram, Facebook, TikTok, YouTube, Google Maps, and websites. Jobs include gathering posts, comments, reviews, business details, emails, and phone numbers.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/Casper-Studios/casper-marketplace
agentmods
npx agentmods add skills/casper-studios/casper-marketplace/apify-scrapers

Made for: Claude Code.

Or install research, the plugin that ships this one along with the rest of its 2 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-scrapers

README.md
[![agentmods](https://agentmods.dev/badge/skills/casper-studios/casper-marketplace/apify-scrapers/github.svg)](https://agentmods.dev/skills/casper-studios/casper-marketplace/apify-scrapers)
Your own site
<a href="https://agentmods.dev/skills/casper-studios/casper-marketplace/apify-scrapers"><img src="https://agentmods.dev/badge/skills/casper-studios/casper-marketplace/apify-scrapers/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-scrapers

Your own site · 80×15
<a href="https://agentmods.dev/skills/casper-studios/casper-marketplace/apify-scrapers"><img src="https://agentmods.dev/badge/skills/casper-studios/casper-marketplace/apify-scrapers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,559 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 72
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
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 5.1 $0.00105 $0.03559
Opus 5 $0.00053 $0.01780
Sonnet 5 $0.00021 $0.00712
Haiku 4.5 $0.00011 $0.00356

Measured 12d ago against content hash afa9d9f77567, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apify-scrapers 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 12d ago.

The scan reads SKILL.md. This mod also ships 13 executable files (scripts/analyze_audience.py, scripts/analyze_trends.py, scripts/discover_influencers.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/bizdev/research/skills/apify-scrapers/SKILL.md · 363 lines

How it starts

The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apify Scrapers

Overview

Scrape content from major social platforms using Apify actors. Each platform has optimized settings for cost and quality.

Quick Decision Tree

What do you want to scrape?
│
├── Social Media Posts
│   ├── Twitter/X → references/twitter.md
│   │   └── Script: scripts/scrape_twitter_ai_trends.py
│   │
│   ├── Reddit → references/reddit.md
│   │   └── Script: scripts/scrape_reddit_ai_tech.py
│   │
│   ├── LinkedIn → references/linkedin.md
│   │   └── Script: scripts/scrape_linkedin_posts.py
│   │
│   ├── Instagram → references/instagram.md
│   │   └── Script: scripts/scrape_instagram.py
│   │   └── Modes: profile, posts, hashtag, reels, comments
│   │
│   ├── Facebook → references/facebook.md
│   │   └── Script: scripts/scrape_facebook.py
│   │   └── Modes: page, posts, reviews, groups, marketplace
│   │
│   ├── TikTok → references/multi-platform.md
│   │   └── Script: scripts/scrape_multi_platform.py
│   │
│   └── YouTube → references/multi-platform.md
│       └── Script: scripts/scrape_multi_platform.py
│
├── Business/Places
│   ├── Google Maps businesses → references/google-maps.md
│   │   └── Script: scripts/scrape_google_maps.py
│   │   └── Modes: search, place, reviews
│   │
│   └── Contact info from websites → references/contact-enrichment.md
│       └── Script: scripts/scrape_contact_info.py
│       └── Extract: emails, phone numbers, social profiles
│
├── Auto-detect URL type → references/url-detect.md
│   └── Script: scripts/scrape_content_by_url.py
│
├── Trend Analysis (NEW)
│   └── Enriched trend analysis → workflows/trend-analysis.md
│       └── Script: scripts/analyze_trends.py
│       └── Features: velocity scoring, lifecycle staging, opportunity scoring
│
└── Workflows (multi-step)
    ├── Lead generation → workflows/lead-generation.md
    ├── Influencer discovery → workflows/influencer-discovery.md
    ├── Competitor analysis → workflows/competitor-intel.md
    ├── Trend analysis → workflows/trend-analysis.md
    └── Competitor Ads Intelligence (NEW) → workflows/competitor-ads.md
        └── Script: scripts/scrape_competitor_ads.py
        └── Platforms: Facebook Ads Library, Google Ads Transparency
        └── Features: Spend estimates, creative analysis, benchmarking

Read the full file on GitHub · 363 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. 12d ago First seen · 363 lines · 105 tokens per session scan A afa9d9f77567

Subscribe to this mod's changes

apify-scrapers is a skill published in the GitHub repository Casper-Studios/casper-marketplace (12 stars, last pushed 7d ago), licensed MPL-2.0. It adds 105 tokens to every session and 3,559 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 2026-08-30.

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