A Make workflow that uses Apify. NexGenData has no official Make app β you run public-data Apify actors inside Make through Make’s official Apify integration, on a schedule, with your own Apify token.
The problem: mentions happen everywhere, and you see them late
Your brand, competitors, and key accounts get mentioned across news and the web every day. Catching a funding announcement, a competitor launch, or a PR risk late means a missed play or a tone-deaf email. A scheduled Make scenario watches for your keywords and routes new mentions straight into Slack, a sheet, or your inbox.
Who this is for
Marketing, comms, agencies, and founders who want event-driven monitoring and competitive awareness without manual searching.
The Make workflow
- Schedule trigger β run daily or several times a day.
- Run an Actor β Apify “Run an Actor” β Brand Mention Monitor (news/web, with sentiment); add PR Newswire Releases for official announcements.
- Get Dataset Items β pull title, source, date, URL, sentiment.
- Filter / dedupe β match keywords, drop mentions already seen (dedupe by URL), branch on sentiment.
- Send to destination β Slack channel, email digest, Google Sheets, or a webhook.
Sample input (keyword list)
| keyword | type |
|---|---|
| Acme Robotics | own-brand |
| warehouse automation funding | buying-signal |
| supply chain layoffs | risk-signal |
Sample output (mentions routed to Slack/Sheets)
| company | title | source | sentiment | action |
|---|---|---|---|---|
| Acme Robotics | Acme partners with national 3PL | Web/News | positive | enrich + prioritize |
| Initech | Initech cuts 12% of supply chain staff | Web/News | negative | pause sequence |
Illustrative sample.
Run it on a schedule
Scheduled runs make monitoring continuous: a positive signal can enroll an account in a sequence within hours, and a risk signal can pause outreach before a rep sends something off-key.
Try it
Run the Brand Mention Monitor β
PR Newswire Releases β
Browse more: Corporate Announcements cluster
More Make workflows
FAQ
Can I branch on sentiment? Yes β use a Make Filter to route positive signals to outbound and risk signals to a pause action.
How do I avoid duplicate mentions? Dedupe by URL against a sheet or Make Data Store.
Is this an official Make app? No β it’s a Make workflow using Make’s official Apify integration with your own Apify token.