Databar is a no-code platform designed to simplify data enrichment, extraction, and automation. It provides access to a large library of pre-built API connectors and web scraping tools, enabling users to pull data from sources such as LinkedIn, Google Maps, Crunchbase, Hunter, and many others directly into spreadsheet-style tables. Users can combine multiple data sources, run bulk lookups, and automate workflows without engineering resources. The platform is aimed at sales, marketing, and operations teams that need to build lead lists, enrich CRM records, conduct market research, or monitor competitors. Data can be exported to common formats or pushed to external tools. Databar positions itself as an alternative to expensive data subscriptions by aggregating many APIs under a single interface with a unified credit-based usage model, making it accessible to individuals and teams of varying sizes.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Mid-market
- Cloud
- API
Key features
Use cases
- Enrich lead lists with company and contact data
- Scrape web data without writing code
- Build prospect lists from directories and databases
- Automate data workflows across multiple APIs
- Conduct market and competitor research
- Export enriched data to CRMs and spreadsheets
Best for
- Sales professionals who need to build and enrich prospect lists at scale
- Marketing teams who need to gather and structure data from multiple web sources without engineering support
- Growth operators who need to automate data enrichment workflows across APIs
- Recruiters who need to source and verify contact information from professional directories
- Analysts who need to aggregate public web data into structured, exportable datasets
Integrations
Automation platforms
Zapier
CRM & sales
HubSpot, Salesforce
AI models included
OpenAI
Databases
Google Sheets
Other
LinkedIn, Crunchbase, Hunter, Google Maps, Clearbit