What platforms does this Trend Analysis skill cover?

The skill tracks trends across Google, Instagram, Facebook, YouTube, and TikTok using a catalog of Apify Actors that scrape search data, hashtags, posts, marketplace products, videos, sounds, and viral content from each platform.

What are the prerequisites to run this skill?

You need an .env file with your APIFY_TOKEN, Node.js 20.6 or newer, and the mcpc CLI installed via npm install -g @apify/mcpc.

When should I use this skill versus the competitor-intelligence or brand-reputation-monitoring skills?

Use Trend Analysis to discover or track emerging trends across platforms; use the sibling skills when you need to pull a single competitor's or brand's own metrics in isolation.

What output formats does the skill support?

The skill offers three output options: a quick in-chat answer, a full CSV export, or a full JSON export, with the result count sized to your use case.

Skill

Track emerging trends across social platforms

Name: Track emerging trends across social platforms
Availability: OnlineOnly
Author: Antigravity

Skill that discovers emerging trends on Google Trends, Instagram, Facebook, YouTube and TikTok with Apify Actors to inform content strategy.

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Spark score

out of 100

Updated last month

Source checked Oct 9, 2026

Version 19.1.0

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Why it matters

Discover and monitor emerging trends by extracting data from multiple social media and search platforms using Apify Actors, then analyze and summarize findings to identify content opportunities and market insights.

Outcomes

What it gets done

Select the appropriate Apify Actor based on trend type (hashtags, search trends, visual content, engagement metrics)

Fetch Actor schema and configure input parameters for data extraction

Run trend analysis scripts and export results in CSV or JSON format

Summarize key trend insights and suggest next steps for deeper analysis

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-apify-trend-analysis | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

A skill that discovers and tracks emerging trends with Apify Actors. It covers Google Trends, Instagram, Facebook, YouTube and TikTok and ends with exported results and a summary of trend insights. Use it when you need to find rising topics, hashtags, sounds or products to inform content strategy.

What it does

This skill discovers and tracks emerging trends across Google Trends, Instagram, Facebook, YouTube and TikTok to inform content strategy, using Apify Actors. It picks an Actor for the trend type, fetches its input schema, runs it and summarizes trend insights and content opportunities.

Actors by trend type:

Search trends: apify/google-trends-scraper for Google Trends data.
Instagram: hashtag content and hashtag stats for performance, post analysis for visual trends, a search scraper for trending discovery, a comprehensive scraper, an API-based scraper and a comments and posts export for engagement trends.
Facebook: apify/facebook-marketplace-scraper for product trends, photos for visual analysis and groups for community trends.
YouTube: streamers/youtube-shorts-scraper for short-form trends and streamers/youtube-video-scraper-by-hashtag for hashtag videos.
TikTok: hashtag content, trending sounds for audio trends, ads for ad trends, the Discover page, Explore content and a trends scraper (clockworks/tiktok-trends-scraper) for viral content.

The workflow is a five-step checklist: identify the trend type, fetch the Actor schema via mcpc, ask the user for preferences, run the script and summarize findings. The schema call returns the Actor description, required and optional inputs and output fields when available. The user picks a quick answer shown in chat, a CSV export or a JSON export, and the number of results follows the use case. The summary reports the number of results, the file location, key trend insights and suggested next steps such as deeper analysis or content opportunities.

When to use - and when NOT to

Use it when you need to spot emerging topics, hashtags, sounds or products across search and social platforms and turn them into content strategy inputs. It is not a substitute for environment-specific validation, testing or expert review, and it stops to ask for clarification if required inputs, permissions, safety boundaries or success criteria are missing.

Inputs and outputs

Inputs are the topic, niche or hashtag and the platform. Prerequisites are a .env file with APIFY_TOKEN, Node.js 20.6 or newer and the mcpc CLI.

export $(grep APIFY_TOKEN .env | xargs) && mcpc --json mcp.apify.com --header "Authorization: Bearer $APIFY_TOKEN" tools-call fetch-actor-details actor:="ACTOR_ID" | jq -r ".content"

Output is a chat summary or a CSV or JSON file with a date-prefixed name written by the run_actor.js script. Error handling covers a missing token, a missing mcpc, an unknown Actor, a failed run (check the Apify console link) and a timeout (reduce input size or raise --timeout).

Integrations

It uses Apify Actors, the mcpc CLI against mcp.apify.com, jq to read Actor details, Node.js and the plugin's reference scripts.

FAQ

Common questions

Discussion