Apify

Name: Apify
Availability: InStock
Author: verrio1

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

1|Updated Jan 24, 2026

Search Tags:#typescript #code-first #dataset #web-scraping #token-savings #Apify #MCP-replacement

Ready to run

npx skills add https://github.com/verrio1/vaughn-pai --skill apify-verrio1

💬 Prompt for ChatGPT / Claude Chat▼

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.