Pricing

Pay per usage

Reddit Trend Analyzer - Topic Research & Insights

Scrape and analyze Reddit discussions for trending topics, sentiment, and engagement metrics. Perfect for market research, brand monitoring, content strategy, and understanding what people are talking about in any niche.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Klako Cariol

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Reddit Trend Analyzer - Topic Research Tool API through CLI

The Apify CLI is the official tool that allows you to use Reddit Trend Analyzer - Topic Research & Insights locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

Reddit Trend Analyzer - Topic Research & Insights API in Python

Reddit Trend Analyzer - Topic Research & Insights API in JavaScript

Reddit Trend Analyzer - Topic Research & Insights OpenAPI definition

Reddit Trend Analyzer - Topic Research & Insights API

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Generate comprehensive company research reports from 7+ sources: SEC filings, stock data, Wikipedia, GitHub, Trustpilot reviews, DNS records, and social media verification. One domain in, full intelligence report out.

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A Reddit posts and comments scrapper, then performs comprehensive sentiment analysis to understand community opinions and trends.

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Social Media Sentiment Analyzer

blank_butter/social-media-sentiment

Analyze sentiment of social media posts, comments, and reviews about any brand, product, or topic. Get positive/negative/neutral breakdown, sentiment scores, and trend analysis.

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scrapapi/reddit-api-scraper

Reddit API Scraper collects data from Reddit posts, comments, and subreddits using the Reddit API. Extract titles, post text, usernames, scores, timestamps, and comment threads. Ideal for trend analysis, sentiment research, community monitoring, and social data collection.