Mystrika
DataMagnet helps developers extract structured data from open LinkedIn profiles by converting profile URLs into real-time JSON via a developer-friendly API.
DataMagnet is a real-time B2B data API built for revenue teams and developers who need clean, structured JSON from LinkedIn profiles. Rather than maintaining scrapers or dealing with stale databases, DataMagnet offers a straightforward API that converts any open LinkedIn profile URL into fresh, normalized data in under 200 milliseconds. With coverage of over 60 million companies and 1 billion people profiles updated monthly, it positions itself as a reliable data layer for enrichment, monitoring, and automation.
The tool's core strength lies in its developer-first approach. Clear endpoints, comprehensive documentation, and code samples make integration fast. DataMagnet doesn't just return raw profile fields; it also surfaces real-time signals like job changes, company headcount shifts, and funding events. This makes it particularly valuable for go-to-market teams that want to trigger outreach based on live intent data. The API can be consumed via REST, webhooks, or flat files, giving teams flexibility in how they ingest data.
Pricing is credit-based and transparent. New users get 10 free credits on signup with no credit card required. After that, credits cost $0.04 each, with volume discounts available and no expiration. There are also two subscription tiers: a free Starter plan with basic features and email support, and a $12/month Professional plan that adds advanced features, priority support, and full API access. This structure works well for both small experiments and high-volume production use.
DataMagnet is best suited for developers building CRM enrichment tools, lead scoring models, or AI agents that need up-to-date professional data. It also fits sales and marketing teams that want to automate outreach based on real-time events like a prospect's job change or a company's funding announcement. The tool's limitation is that it only works with open (public) LinkedIn profiles, so it cannot access private or restricted data. For most B2B use cases, however, open profiles cover the vast majority of targets.
Overall, DataMagnet delivers on its promise of fast, reliable, and structured LinkedIn data. Its real-time freshness, web-scale coverage, and flexible pricing make it a strong choice for any team that needs to enrich leads or monitor professional signals without building and maintaining their own scraping infrastructure. If your workflow depends on accurate, current LinkedIn data, DataMagnet is worth a serious look.
Features
- Extract structured data from LinkedIn profile URLs into JSON
- Real-time profile updates (sub-200ms API responses)
- Developer-friendly API with clear documentation and libraries
- No credit card required to start (10 free credits on signup)
- Web-scale coverage: 60M+ companies and 1B+ people profiles
- Real-time signals for job changes, funding, and headcount shifts
- Flexible delivery via API, webhooks, or flat files
Pricing
Pros
- Trusted by 1000+ big brands and data-driven teams
- Real-time accuracy with monthly profile refreshes
- Simple pay-as-you-go pricing with no credit expiry
- Fast sub-200ms responses for production workflows
- Easy integration into CRM, email campaigns, and data enrichment stacks
Cons
- Only works with open LinkedIn profiles; cannot scrape private or restricted data
Best For
Developers and revenue teams needing real-time, structured LinkedIn data for CRM enrichment, lead generation, and intent monitoring.