Pricing

Pay per event

Brand Mention & Sentiment Monitor - Web Mentions

Monitor brand or keyword mentions across the web with sentiment analysis: total volume, positive/negative/neutral breakdown, emotion signals, top sources, and the actual mention pages.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Santhej Kallada

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Social media

You can access the Brand Mention & Sentiment Monitor - Web Mentions programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "keywords": [
12        "Apify"
13    ]
14};
15
16// Run the Actor and wait for it to finish
17const run = await client.actor("santhej/brand-mention-monitor").call(input);
18
19// Fetch and print Actor results from the run's dataset (if any)
20console.log('Results from dataset');
21console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
22const { items } = await client.dataset(run.defaultDatasetId).listItems();
23items.forEach((item) => {
24    console.dir(item);
25});
26
27// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Brand Mention & Sentiment Monitor - Web Mentions API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Brand Mention & Sentiment Monitor - Web Mentions API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Brand Mention & Sentiment Monitor - Web Mentions API in Python

Brand Mention & Sentiment Monitor - Web Mentions API through CLI

Brand Mention & Sentiment Monitor - Web Mentions OpenAPI definition

Brand Mention & Sentiment Monitor - Web Mentions API

Brand Visibility Tracker - Multi-Platform Monitor

viralanalyzer/brand-visibility-tracker

Track your brand across Google, news, social media, and forums. AI sentiment.

viralanalyzer

5.0

(3)

Brand Mention Monitor — News & Web

nexgendata/brand-mention-monitor

Monitor news and web mentions of any brand, keyword, or competitor via the official GDELT global news index. No social platforms, no login — built for PR, comms, and competitive intel.

NexGenData

Reddit Scraper — Posts, Comments & Markdown for AI/RAG

benthepythondev/reddit-scraper

Extract Reddit posts, comments & user data in AI-ready markdown format. No API keys needed! 25% cheaper than competitors. Perfect for AI training, sentiment analysis & market research. Includes bulk comment scraping with progress tracking.

ben

114

5.0

(2)

GlobeNewswire Press Releases — Premium Listed-Company News

nexgendata/globenewswire-press-releases-scraper

Scrape GlobeNewswire press releases — headline, body, ISO 8601 publication time, source company, ticker(s), ISIN, category, image. Premium listed-company wire (~400/day, NYSE/NASDAQ skew). For PR analysts, sales intel, financial journalists, corp comms.

NexGenData

📊 Reddit Brand Monitor -- Track Mentions & Sentiment

nexgendata/reddit-brand-monitor

Monitor any brand, product, or topic on Reddit. Track mentions with AI sentiment analysis across all subreddits. Brandwatch alternative at 1/100th the cost. Trend tracking, competitive comparison & engagement analytics.

NexGenData

Reddit Scraper - Monitoring, Signals & Attention Queue

ryanclinton/reddit-scraper

Scrapes Reddit and returns a ranked attention queue: brand monitoring, mention tracking, sentiment analysis, and breakout detection in one run. Drop-in compatible with existing Reddit scraper workflows. $0.002 per record.

Ryan Clinton

X (Twitter) Advanced Search Scraper 𝕏

api-ninja/x-twitter-advanced-search

Advanced X (Twitter) post search with 50+ filters: content, users, geo, time, engagement, media. Dual modes: simple queries or structured filters. Enterprise-grade reliability for precise data extraction

API ninja

4.7

(43)

Instagram Comments Scraper

automation-lab/instagram-comments-scraper

Extract comments from any public Instagram post. Get usernames, text, timestamps, like counts, reply counts, and verified status. No login required. Export as JSON, CSV, or Excel.