SourceStack
Lead Generation & Prospecting ToolsSourceStack is a B2B data-as-a-service platform that provides comprehensive, up-to-date information on companies, their technology usage, eCommerce inventories, and active job postings. By offering access to extensive datasets, SourceStack enables businesses to enhance lead generation, conduct competitive analysis, and gain valuable market insights.
Key Features
- Extensive Data Coverage: Access to over 15.8 million companies, 8,400 SaaS products, 683 million eCommerce SKUs, and 8.04 million active job postings.
- Advanced Filtering: Utilize 219 available data fields to filter information based on SaaS and OSS technology usage, eCommerce store inventory, and more than 900 categories.
- Seamless Data Export: Export data effortlessly to CSV, Google Sheets, Airtable, XML, or via REST API for integration into existing workflows.
- Flexible Data Retrieval: Filter and refresh job posts according to specific criteria, with options to update at various cadences—manually, weekly, monthly, or custom schedules.
Pricing
- SourceStack operates on a pay-as-you-go model, charging based on the number of rows returned by user queries. For example, retrieving 10,000 job postings would cost $25, with no minimum spend required.
Pros
- Cost-Effective: The pay-as-you-go pricing model is budget-friendly, especially for smaller businesses or startups, as it eliminates the need for substantial upfront investments.
- Comprehensive Data Access: Users benefit from extensive datasets that cover various business aspects, including company information, technology usage, eCommerce inventories, and job postings.
- Ease of Integration: The platform's ability to export data in multiple formats facilitates seamless integration into existing systems and workflows.
Cons
- Data Freshness Concerns: Some users have reported issues with the timeliness of the data, indicating that certain d updated as frequently as desired.
- Limited Advanced Features: The platform may lack some advanced functionalities found in more specialized data serviimiting its utility for complex data analysis requirements.
