Apify

Provides a code-first interface to browse and invoke Apify actors and filter their data output.

1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/verrio1/vaughn-pai --skill apify-verrio1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Apify
Source: https://github.com/verrio1/vaughn-pai/tree/main/skills/Apify
Command: npx skills add https://github.com/verrio1/vaughn-pai --skill apify-verrio1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a code-first interface to Apify actors to replace token-heavy MCP calls with in-code filtering.

Core Features & Use Cases

  • Code-first wrappers for popular Apify actors (Instagram, LinkedIn, Twitter, YouTube, Google Maps, Amazon, Facebook).
  • Token savings by filtering data in code before it reaches the model context.
  • Use cases include social listening, lead generation, and competitive intelligence.

Quick Start

Use the Apify skill to demonstrate a simple code-first flow: search for an actor, run a job, fetch the dataset, and filter in code to return a small, relevant result to the model.

Frequently Asked Questions about Apify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce token usage when scraping web data with Apify actors?

To reduce token usage with Apify, use a code-first interface to filter scraped dataset records in code before passing them to the model context. This approach replaces token-heavy MCP calls by transforming data locally.

Can I scrape social media platforms like Instagram and LinkedIn using code-first Apify wrappers?

Yes, you can scrape social media platforms like Instagram, LinkedIn, and Twitter using code-first Apify wrappers. These wrappers enable social listening and lead generation by returning filtered datasets directly.

How do I run an Apify actor and filter the dataset results programmatically?

You run an Apify actor and filter results by searching for the actor, calling it to execute a job, fetching the dataset, and applying in-code filtering utilities to return only relevant data to the model.

What is the difference between using MCP calls and code-first Apify wrappers for web scraping?

The difference between MCP calls and code-first Apify wrappers is token consumption. Code-first wrappers filter datasets in code before reaching the model context, whereas MCP calls pass heavier unfiltered data payloads.

Does the code-first Apify interface support TypeScript for web scraping workflows?

Yes, the code-first Apify interface supports TypeScript for web scraping workflows. It provides TypeScript typings alongside memory and timeout controls for executing actor jobs and filtering datasets.

What types of business and e-commerce data can I extract using Apify actors?

Using Apify actors, you can extract business and e-commerce data from platforms like Amazon and Google Maps. The scraped data is transformed and filtered in code to support competitive intelligence workflows.