The best tool for finding B2B leads via Google review ratings in 2026 is Outscraper for dedicated review extraction, but Scavio provides the multi-platform context needed to qualify those leads. Businesses with 3-4 star Google ratings are prime prospects for service providers because they have customer volume but clear improvement opportunities. The key is finding and enriching these leads efficiently.
Scavio enriches review-based lead lists with multi-platform signals from Google, Reddit, YouTube, Amazon, and Walmart, helping teams qualify leads beyond just star ratings at $0.005/credit.
Full Ranking
Scavio
Teams enriching review-based leads with multi-platform data
- Google search reveals review patterns
- Reddit shows customer complaints
- YouTube for business video presence
- MCP for automated lead enrichment
- 250 free/mo
- Not a dedicated review scraper
- No direct review rating filtering
- Requires lead list from another source
Outscraper
Teams extracting Google Maps reviews at scale
- Purpose-built review extraction
- 500 free records
- Rating + review text + dates
- Bulk extraction support
- Google Maps reviews only
- No multi-platform enrichment
- No MCP support
- No lead qualification beyond reviews
Apify
Teams building custom review scraping workflows
- Google Reviews actor
- Yelp and TripAdvisor actors
- Customizable extraction
- Cloud execution
- $49/mo starter
- Actors can break
- Complex credit system
- Manual workflow building
PhantomBuster
Teams combining review leads with LinkedIn outreach
- Google Maps to LinkedIn pipeline
- Social enrichment
- Workflow automation
- CRM export
- $69/mo minimum
- No review text extraction
- LinkedIn-focused
- Expensive for lead gen only
Clay
Teams building full enrichment + outreach pipelines
- Waterfall enrichment
- 80+ data sources
- AI message writing
- CRM integration
- $185/mo for Launch
- 100 free credits limited
- No direct review scraping
- Expensive for review-based leads
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Review Data | Google search review signals | Full review text + ratings | Custom review actors |
| Lead Enrichment | 5 platforms (Google + Reddit + YouTube + 2) | Reviews only | Scraping actors |
| Customer Sentiment | Reddit + Google signals | Review text analysis | Custom scraping |
| Cost per 1K Leads | $5 enrichment | $3 reviews | $29/mo + credits |
| Outreach Ready | Data for personalization | Reviews only | Actor output |
| Free Tier | 250/mo | 500 records | $5 credits |
Why Scavio Wins
- Multi-platform lead qualification goes beyond star ratings. Scavio finds Reddit complaints that reveal specific pain points, YouTube reviews showing customer experience, and Google search presence indicating market position. This context turns a lead list into a qualified pipeline.
- MCP integration enables AI agents to autonomously research and qualify review-based leads. An agent can take a business name, search five platforms, and generate a qualification summary with specific pain points for personalized outreach.
- At $0.005/credit for five-platform enrichment, qualifying 1,000 leads costs $5. PhantomBuster at $69/mo and Clay at $185/mo cost significantly more and focus on different data sources. Scavio provides the search intelligence layer affordably.
- Real-time search data ensures lead qualification reflects current business performance. A business that had 3 stars six months ago may have improved to 4.5 stars. Live search results catch these changes.