apify-ultimate-scraper_skill

This skill automatically selects the best actor and scrapes data from multiple platforms to streamline lead generation and market insights.

JavaScript

64

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill apify/agent-skills --skill apify-ultimate-scraper

SKILL.md9.4 KB

Overview

This skill is a universal AI-powered web scraper that selects the best Apify Actor for the platform you target and runs extraction workflows across Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. It streamlines lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, and audience analysis into repeatable Actor or multi-Actor workflows. The skill uses mcpc to fetch Actor schemas and a Node.js runner to execute and export results.

How this skill works

Describe your goal and the skill picks the optimal Actor(s) from a curated catalog of 55+ Actors for the platform you need. It fetches the Actor input schema with mcpc, asks for output preferences (quick answer, CSV, JSON) and result count, then runs a Node.js script to execute the Actor and produce chat summaries or export files. After the run it summarizes findings, provides file location and key fields, and recommends follow-on workflows for enrichment or deeper analysis.

When to use it

Extract public profiles, posts, comments, reviews, or listings from major platforms
Generate B2B leads and contact enrichment from Google Maps and listing sources
Discover and vet influencers across Instagram, TikTok, and YouTube
Monitor brand sentiment via hashtags, tagged posts, reviews, and comments
Collect trend signals from Google Trends, TikTok trends, and hashtag stats
Aggregate competitor pages, ads, posts and engagement metrics for analysis

Best practices

Provide a clear goal and sample targets so the skill can pick the right Actor(s)
Prepare a .env file with APIFY_TOKEN and use Node.js 20.6+ for native env-file support
Use mcpc to fetch Actor schema before running to validate required input fields
Choose output format based on workflow: quick chat for sampling, CSV/JSON for full exports
For complex needs chain Actors (e.g., places → contact enrichment or profile → comment sentiment) and keep inputs scoped to avoid timeouts

Example use cases

Lead generation: crawl local businesses via Google Places and extract emails for outreach
Influencer discovery: gather profiles and engagement metrics across Instagram, TikTok, and YouTube
Brand monitoring: collect tagged posts, hashtag streams, and review sentiment across platforms
Competitor analysis: scrape competitor pages, posts, and ad creatives for tactical insights
Trend research: pull Google Trends and platform hashtag stats to validate content ideas

FAQ

Create a .env with APIFY_TOKEN, install Node.js 20.6+, and install mcpc if you will fetch Actor schemas.

How do I choose the right Actor?

Describe your objective and targets; the skill maps use cases to primary Actors and recommends multi-Actor workflows for deeper tasks.

What if an Actor is missing or not suitable?

Use the included mcpc search command to query the Apify Store with 1–3 keywords, or request a custom chaining recommendation.