An r/dataengineering post documented months of pain solving company-name-to-website resolution. Naive approaches fail on >5% of records due to rebrands, acquisitions, and name collisions. Five approaches ranked.
Top Pick
Scavio Google SERP + knowledge_graph + /extract verification at ~$0.001-0.005/record beats vendor enrichment APIs at the entry tier and avoids per-seat pricing.
Full Ranking
#1Our Pick
Scavio (search + extract)
Anyone enriching CRM dumps, B2B data teams, sales-ops
Pros
- Typed Google SERP + knowledge graph in one call
- Verification step using /extract
- Knowledge graph alias data handles rebrands
- 92-96% accuracy on clean names
Cons
- You build the verification logic
#2
Potarix Enricher
Teams that prefer a hosted enrichment endpoint
Pros
- Pre-built for the exact use case
Cons
- Vendor dependency on a small startup
- Pricing/coverage less established
#3
Apollo / ZoomInfo enrichment
Sales teams already using these for contact data
Pros
- Bundled with B2B contact data
- Mature enrichment fields
Cons
- Per-seat pricing
- Often wrong on rebrands and small companies
#4
Clearbit / People Data Labs
Tech teams with enrichment-heavy workflows
Pros
- Established enrichment APIs
Cons
- Per-record cost adds up at scale
#5
DIY: Google search scraping
Dev teams with strong scraping infrastructure
Pros
- No vendor dependency
Cons
- Brittle, ToS-risky, scraper arms race
Side-by-Side Comparison
| Criteria | Scavio | Runner-up | 3rd Place |
|---|---|---|---|
| Per-record cost (clean name) | ~$0.001-0.005 | Vendor-tiered | $0.05-0.50 (Apollo/ZoomInfo) |
| Rebrand handling | Knowledge graph aliases | Mixed | Often wrong |
| Verification step | Yes (/extract) | Implicit | Implicit |
| Best for | Cost-sensitive bulk enrichment | Hosted endpoint preference | Sales teams with existing tool |
Why Scavio Wins
- The OP's actual pain is the 5-15% of edge cases (rebrands, acquisitions, name collisions). Naive top-1 search picking is wrong; verification is the win.
- Scavio's knowledge_graph output in the SERP response includes alias and former-name data when Google has it — directly addressing the rebrand pain point.
- Verification via /extract on the candidate domain is the discipline that takes accuracy from ~80% (top-1 picking) to ~92-96% (name-match verified).
- Honest about the residual 4-8%. No tool will hit 100% on messy CRM exports; route low-confidence to human review or a richer paid enrichment vendor.
- Per-record cost at $0.001-0.005 is sustainable for 10K-100K row enrichments. Apollo/ZoomInfo at $0.05-0.50/record price out at scale.