Reputation Pain Hunter
Hunts low-rated local businesses that are bleeding revenue from bad reviews — exactly the prospects who buy reputation services fastest. Each run searches Google Maps for businesses below the rating threshold in chosen verticals and cities, scrapes their contact pages for owner emails and phone numbers, scores each lead by severity (rating, review trend, review volume), dedupes against the lead database, appends fresh entries to a spreadsheet, and sends a ranked digest to the user. Designed to keep a steady pipeline of warm outbound targets without the user touching Google Maps directly.
Agent snapshot
Built for marketing agency work, not a generic template.
26
template uses
10
catalog views
3
integrations used
2
labels matched
Sample input
Build an agent to reputation Pain Hunter. Use Google Sheets, HubSpot, and Gmail. Focus on sales outreach. Return a ready-to-review result after each run.
Sample output
Every weekday morning, finds 1-3 star businesses in your target cities and verticals, scrapes owner contacts, dedupes against the past 30 days, and emails you a severity-ranked HTML digest of 25 fresh reputation-management prospects.
Workflow brief
Where Reputation Pain Hunter fits in a marketing agency automation system
Reputation Pain Hunter is designed for a specific recurring job: hunts low-rated local businesses that are bleeding revenue from bad reviews — exactly the prospects who buy reputation services fastest. Each run searches Google Maps for businesses below the rating threshold in chosen verticals and cities, scrapes their contact pages for owner emails and phone numbers, scores each lead by severity (rating, review trend, review volume), dedupes against the lead database, appends fresh entries to a spreadsheet, and sends a ranked digest to the user. Designed to keep a steady pipeline of warm outbound targets without the user touching Google Maps directly. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Google Sheets, HubSpot, and Gmail as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 7 concrete steps from the published agent data.
On schedule, load configured verticals, cities, and severity thresholds and fetch the prior leads from the agent database for deduplication
Query Google Maps for each vertical x city combination, filtering to listings at or below the maximum rating with at least a handful of reviews
For each candidate business, scrape the website and contact page for owner name, email address, and phone number
Compute a severity score from rating, recent review trend, and total review volume, then rank candidates and trim to the per-run cap
Persist new leads to the agent database and append the same rows to the connected spreadsheet or CRM with a standard schema
Render the ranked digest in the chosen format and deliver it to the recipient via the configured channel
Integrations used
Reputation Pain Hunter connects Google Sheets, HubSpot, and Gmail.
Google Sheets
Connected in this agent
HubSpot
Connected in this agent
Gmail
Connected in this agent
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Plans start at €20/mo