Edges vs Crustdata
Act on LinkedIn — not just query it.
Who this comparison is for
You looked at Crustdata for the rich firmographic/funding bundle, but your real job is building a product feature users touch: enrich a lead, schedule a timing extract, send a connection, pull a Sales Nav list.
At a glance
The axes that matter when you’re picking between us.
| Topic | Edges | Crustdata |
|---|---|---|
| Product shape | Action API: do things on LinkedIn (search, export, enrich, engage, schedule). | Intelligence API: query a pre-aggregated graph of people and companies. |
| LinkedIn depth | First-class Sales Navigator, engagement actions, and schedule-mode extracts for timing. | LinkedIn-linked person/company data via their firmographic bundle. |
| Non-LinkedIn data | Scoped to LinkedIn by design. | Funding, headcount trends, job postings, and other firmographics. |
| Best for | Sales tools, prospecting platforms, outbound automation, LinkedIn-first AI agents. | Analytics platforms, investment research, market intelligence dashboards. |
| Pricing shape | Per-action credits — scale cost with user activity. | Typically seat or dataset-licensed — scale cost with coverage and users. |
Pick the right one
Choose Edges when
Your product executes on LinkedIn. You need actions (Sales Nav searches, lead list exports, engagement, scheduled extracts you diff) — not just queryable intelligence.
Consider Crustdata when
You're building analytics or research tooling that needs rich firmographic bundles — funding rounds, headcount trends, company filings — and LinkedIn is one data source among many.
Migration
Map your current Crustdata calls or automations to Edges actions using the Library and the documentation. Ask support for the OpenAPI spec and it drops straight into Postman, Hoppscotch, or any code generator. Share your integration outline and we can suggest parity endpoints and credit estimates.
FAQ
Which one has better LinkedIn data quality?
Different models. Crustdata enriches a pre-aggregated graph (good for bulk research); Edges calls live data on-demand (better for freshness on active prospects). Run parallel samples on 200–500 profiles in your ICP before deciding.
Can I do Sales Navigator searches with Crustdata?
No — Sales Navigator workflows (saved searches, lead lists, smart links) are Edges-specific. If SN is part of your product, Edges is the better fit.
Does Edges include funding and firmographic data?
Edges focuses on LinkedIn surface area. For funding rounds, filings, and macro firmographics, Crustdata or similar intelligence providers are the right fit — or run both in parallel.
Can the two be used together?
Yes, and it's a common pattern. Use Crustdata for background intelligence and Edges for active LinkedIn workflows (signals, enrichment-at-action, outbound).
How does pricing scale differently?
Crustdata's seat/dataset model favors teams with many read-only analysts. Edges' per-action model favors product teams whose end-users trigger LinkedIn calls (enrichment on record view, auto-searches, etc.).
Build on Edges
Credits-based pricing, SOC 2 Type II, and a growing catalog of LinkedIn actions — see Pricing and Enterprise for scale.
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Edges is not related to LinkedIn and is not an official LinkedIn product.