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ZAIQZAIQ

Media monitoring tool: New brand mentions across news, Reddit, YouTube and the web, with sentiment.

This media monitoring tool finds new mentions of your brand across news, Reddit threads, YouTube, Hacker News, blogs and forums, scores each one positive, neutral or negative, explains why it matched, and on scheduled runs returns only the mentions you have not seen before. Add competitors to see share of voice, and send the HTML report to a client.

Chad EtkindCo-founder and AI engineerUpdated 26 October 2026
Run it on Apify→See the API call
$0.003
per Hacker News mention, $0.005 per YouTube mention
$0.025
per mention found through Google's news and web index, including Reddit threads
New only
on scheduled runs with a monitoring store: mentions you have seen are skipped, free

What it returns

Mention
Source, link, title, the visible text, publisher, subreddit or channel, and the published date.
Sentiment
Positive, neutral or negative, with the score and the cue words found, negation included.
Relevance
A relevance score and the reasons it matched, with your context and excluded words applied.
Reach
YouTube views and Hacker News points and comments where the source shows them. No estimates.
Report
New negative mentions first, mentions by source and day, the sentiment split and sampled share of voice.

What teams use the Media monitoring tool for

01

Brand monitoring

See new conversations about your brand each morning, with the negative ones first.

02

PR and comms

Track coverage and community reaction after a launch or an incident.

03

Competitor tracking

Compare share of voice and sentiment against named competitors.

04

Agency reporting

Send each client a scheduled report from one shared setup.

Price

  • $0.003 per Hacker News mention and $0.005 per YouTube mention.
  • $0.025 per mention found through Google's news or web index, including indexed Reddit threads.
  • Duplicates, excluded results and failed lookups are free. Apify adds a $0.00005 start charge per run.

You pay through your own Apify account, and you can cap any run with a maximum cost.

Call it from your code

Send the input as JSON and get the rows back in the same request, or start the run on a schedule from the Apify Console. Replace YOUR_APIFY_TOKEN with the API token from your Apify account settings.

cURL
curl -X POST "https://api.apify.com/v2/acts/zaiq~brand-mention-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"brandTerms":["Example Brand"],"contextWords":["app"],"sources":["hackernews","youtube","news"],"maxMentions":50}'
Python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("zaiq/brand-mention-monitor").call(run_input={"brandTerms": ["Example Brand"], "contextWords": ["app"], "sources": ["hackernews", "youtube", "news"], "maxMentions": 50})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

The same Actor runs from JavaScript, Make, Zapier, n8n and AI agents through Apify's MCP server. The full input list is on its Apify Store page.

Sample row

One row, shortened, with names and addresses replaced
{
  "verdict": "Negative · Public technology forum · 2026-10-24",
  "brandMatched": "Example Brand",
  "source": "hackernews",
  "url": "https://forum.example.com/item?id=sample-001",
  "sentiment": "negative",
  "sentimentScore": -0.333,
  "relevanceScore": 90,
  "relevanceWhy": [
    "Brand in title",
    "Required context found",
    "No excluded words found"
  ],
  "isNew": true
}

Media monitoring tool: questions

Which sources does it cover?

News, blogs and forums through Google's index, Reddit threads as Google indexes them, and YouTube and Hacker News directly. It reads public pages only: no private groups, logins or paid databases.

How does it avoid irrelevant matches?

Add context words that must appear and words that must not. Brand names that are everyday words need this, and every match shows the reason it was kept.

How do new-only alerts work?

Give the run a monitoring store name and schedule it. Each run remembers what it delivered, so the next one returns only mentions you have not seen, and skipped ones are free.

Is the sentiment AI-generated?

No. It uses English cue rules that handle nearby negation, and every mention shows the cue words behind its score, so you can see why it was scored the way it was.

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All data APIs →

Every API on one page, with what each returns and costs.

Run the Media monitoring tool on Apify.

Open it on the Apify Store, paste your input and run it in the browser, or copy the call above into your own code. You pay per result, only for what comes back.

Open it on Apify→