Social Media Trends Research

This is a zero-cost research stack that combines pytrends for Google Trends data, public Reddit JSON endpoints, and Perplexity MCP queries to track what's gaining traction across platforms. You get keyword velocity, rising queries that flag breakout topics, Reddit discussion monitoring, and Twitter/TikTok trend analysis without touching a single paid API. The skill includes rate limiting guardrails and actual working code snippets for each tool. Use it when you need to find content gaps before writing, validate if a topic is heating up, or discover what's going viral in your niche this week. Pairs well with content strategy skills since this handles the executable research side.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add drshailesh88/integrated_content_os --skill social-media-trends-research --agent claude-code

Installs into .claude/skills of the current project.

Files

Social Media Trends Research

Overview

Programmatic trend research using three free tools:

pytrends: Google Trends data (velocity, volume, related queries)
yars: Reddit scraping without API keys
Perplexity MCP: Twitter/TikTok/Web trends (via Claude's built-in MCP)

This skill provides executable code for trend research. Use alongside content-marketing-social-listening for strategy and perplexity-search for deep queries.

Quick Setup

# Install dependencies (one-time)
pip install pytrends requests --break-system-packages

No API keys required. Reddit scraping uses public .json endpoints.

Tool 1: pytrends (Google Trends)

What It Provides

Real-time trending searches by country
Interest over time for keywords
Related queries (rising = velocity indicators)
Interest by region
Related topics

Basic Usage

from pytrends.request import TrendReq
import time

# Initialize (no API key needed)
pytrends = TrendReq(hl='en-US', tz=330)  # tz=330 for India (IST)

# Get real-time trending searches
trending = pytrends.trending_searches(pn='india')
print(trending.head(20))