Brand Monitoring — Mentions from News, HN, Bluesky & Reddit

🇨🇳 品牌监测：一次运行即可追踪品牌、产品、竞争对手或关键词在 Google 新闻、Hacker News、Bluesky、Reddit 和 Mastodon 上的最新提及，自动去重，支持日期过滤、排除词、互动数据和情感分析。可定时运行实现提醒。无需 API 密钥，按提及付费。

🇸🇬 Pemantauan Jenama: jejak setiap sebutan baharu jenama, produk atau pesaing anda di Google News, Hacker News, Bluesky, Reddit dan Mastodon dalam satu larian, dengan sentimen. Tiada kunci API.

🤖 NEW: Connect This To Your AI!

Use this actor from Claude, ChatGPT, Cursor or any MCP client through the IntelScrape MCP Server, or call it directly over the Apify API.

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⚡ Works with n8n, Make, Zapier, Google Sheets and the Apify API.

One run, five sources: news, Hacker News, Bluesky, Reddit and Mastodon mentions of any brand or keyword, deduplicated, with engagement and sentiment.

Honest coverage & billing: X/Twitter, Instagram, Facebook and LinkedIn are not covered (login required). You pay only for results actually delivered, and a built-in cost guard stops the run at your max-charge limit.

🌍 Built for teams in the US, China and Singapore, and anyone who needs this data in a spreadsheet or pipeline.

⭐ Found it useful? Please leave a review; it helps others find it.

⚖️ Lawful business use only. Collect public data only, and comply with the source site's terms, copyright and data-protection laws (GDPR, CCPA, China PIPL, Singapore PDPA).

Examples below are illustrative; names and values may be fictional or out of date.

What is Brand Monitoring?

Brand monitoring tools usually cost hundreds of dollars a month and lock you into their dashboards. Most teams only need one thing: a reliable list of new mentions, every day, from the places that matter, in a format they can send to Slack, a spreadsheet or an AI. Brand Monitoring searches Google News, Hacker News, Bluesky, Reddit and Mastodon for each of your keywords, removes duplicates, filters by date and exclude words, tags sentiment and hands you one clean table, pay-per-mention, no subscription.

What does it do?

• Five sources: Google News (any edition), Hacker News stories and comments, Bluesky posts, Reddit posts and Mastodon hashtags
• Exact-phrase search for multi-word brands, plus exclude words to drop homonyms
• Time window: only mentions from the last N days; schedule for continuous monitoring
• Engagement: points and comments (HN), likes, reposts and replies (Bluesky), favourites and boosts (Mastodon), subreddit (Reddit)
• Sentiment (on by default): positive / negative / neutral label and score
• Clean, deduplicated rows with source, title, text, author or outlet, date and link

Why choose us over cheaper scrapers?

• Honest output: limits are documented, missing data is labeled, never invented
• Clean, consistent schema ready for Excel, Sheets, BI tools or an LLM
• No account risk: no logins, no cookies, no API keys
• Pay per result with a built-in cost guard; no subscription, failed items are never charged
• Fast and light: no residential proxy, so runs finish in seconds and stay cheap
• Maintained by IntelScrape and fixed fast when the source changes

Who is it for?

• PR & comms: catch press coverage and social chatter the same day
• Founders & marketers: see who talks about your launch and join the conversation
• Competitive intelligence: track competitor news and complaints
• Customer support: spot public complaints and outages early
• Investors & analysts: monitor portfolio companies
• AI agents: daily digest of brand mentions summarised by an LLM

How to use it

In Apify Console (no code)

1. Click Try for free / Start. The form is prefilled with a working example.
2. Change the inputs (see examples below).
3. Click Start, then export the results as JSON, CSV, Excel, XML or HTML, or open them in Google Sheets.
4. Optional: Schedule the actor to run hourly, daily or weekly.

Via API

curl -X POST "https://api.apify.com/v2/acts/intelscrape~brand-mentions-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["Apify"], "sources": ["googleNews", "hackerNews", "bluesky", "reddit"], "sinceDays": 7}'

Or use the official Apify JavaScript and Python clients:

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("intelscrape/brand-mentions-monitor").call(run_input={"keywords": ["Apify"], "sources": ["googleNews", "hackerNews", "bluesky", "reddit"], "sinceDays": 7})
for item in client.dataset(run["default_dataset_id"]).iterate_items():
    print(item)

With AI agents (MCP)

Add Apify's MCP server (https://mcp.apify.com) or the IntelScrape MCP Server to Claude Desktop, Cursor, ChatGPT or any MCP client, then ask in plain language, e.g. "Run intelscrape/brand-mentions-monitor with the default input and summarise the results."

Input examples

One brand, four sources, last 7 days (default)

{
  "keywords": ["Apify"],
  "sources": ["googleNews", "hackerNews", "bluesky", "reddit"],
  "sinceDays": 7
}

Brand vs competitors, news only, UK edition

{
  "keywords": ["Monzo", "Revolut", "Starling Bank"],
  "sources": ["googleNews"],
  "country": "GB",
  "sinceDays": 3
}

Daily alert with homonym filter

{
  "keywords": ["Apple Vision Pro"],
  "excludeWords": ["recipe", "orchard"],
  "sinceDays": 1,
  "maxPerSource": 100
}

Output fields

Field	Description
keyword	Which of your keywords matched
source	google_news, hacker_news, bluesky, reddit or mastodon
title / text	Headline or post text
url	Link to the mention
author	Author handle or news outlet
publishedAt	Publication time
engagement	Source-specific engagement numbers
sentiment / sentimentScore	Sentiment label and score (when on)
scrapedAt	Collection time

Sample output

{
  "keyword": "Apify",
  "source": "hacker_news",
  "title": "Show HN: I scraped 1M product pages with Apify and …",
  "url": "https://news.ycombinator.com/item?id=41234567",
  "author": "builder42",
  "publishedAt": "2026-10-19T14:22:03Z",
  "engagement": { "points": 120, "comments": 48 },
  "sentiment": "positive",
  "sentimentScore": 1
}

Pricing (pay per event)

Event	When it is charged	Price
Actor start	once per run	$0.005
Mention	per mention row	$0.001
Sentiment	per mention tagged (on by default; turn off to skip)	$0.0002

Cost examples

Run	Cost
Default run: 1 brand, ~60 mentions	about $0.08
Daily run, 3 brands, ~40 mentions	about $0.05 per day
Weekly run, 10 keywords × 4 sources × 50	up to $2.41

Platform usage is included in these prices. Set Max charge per run in the run options to cap spend; the actor stops cleanly when the limit is reached and keeps everything collected so far.

Tips for best results

• Schedule daily with sinceDays 1 and send new rows to Slack or email with an Apify integration.
• Use exact product names; add excludeWords for common-word brands.
• Mastodon searches hashtags, so use one-word brand names there.
• Reddit sometimes blocks cloud servers; the run continues with the other sources and you are not charged for it.

FAQ

Which sources are included?

Google News, Hacker News, Bluesky, Reddit and Mastodon (hashtag timeline on mastodon.social). X/Twitter, Instagram and Facebook require logins and are not included.

How is sentiment calculated?

A fast word-list model (positive vs negative words). It is a quick triage signal, not a deep language model.

Are duplicates removed?

Yes, within a run by URL and source. Across scheduled runs, use sinceDays equal to your schedule interval.

Do I need API keys?

No. All sources are public.

What if a source is down or blocks the run?

It is skipped with a warning; you pay only for mentions delivered.

Can I monitor in other languages?

Yes. Set language and country for Google News and Bluesky.

Honest limits

• X/Twitter, Instagram, Facebook and LinkedIn are not covered (login required).
• Reddit may block some cloud IPs; those runs skip Reddit.
• Sentiment is lexicon-based and English-oriented.
• Google News returns up to about 100 recent articles per query.

Related IntelScrape bots

• Hacker News Scraper: stories & comments by keyword
• Google News Scraper: headlines & summaries
• Bluesky Posts Scraper: posts & profiles from Bluesky
• Reddit Posts Scraper: posts & comments by keyword
• Google Trending Searches: daily trending searches by country
• Skip Trace MCP Server: IntelScrape tools for AI agents

Legal

This actor collects publicly available data only. You are responsible for using the results lawfully and in line with the source's terms and applicable privacy laws (GDPR, CCPA, PIPL, PDPA). Process personal data only with a legitimate purpose. IntelScrape is not affiliated with, endorsed by or sponsored by the data source; all trademarks belong to their owners.