Quickstart Tutorial
Get started with no-code tools
If you're new to working with public web data or just looking for a faster way to access it, Coresignal's no-code tools offer a simple starting point. Whether you want to check how many records match your search, explore a subset of the data, or enrich your own files, you can do it all without writing a single line of code.
Explore data with ease
Use prompts. The fastest way to preview the data is through the AI Data Assistant and API Playgrounds, where you can test queries and instantly see how many results match your criteria.
Try our filters. For a more hands-on approach, the Data Explorer tool is a quick way to build a tailored dataset based on your own search parameters.
Enrich company data fast. The Company Enricher tool allows you to upload a CSV containing company identifiers and instantly enrich it with relevant data points, such as location, industry, and headcount, without technical setup.
Dashboard
Let's start from the beginning – the dashboard's Home page. On the left, you’ll find quick access to the main features – tools and playgrounds. Your account – settings, details, and team management options are located in the upper-right corner. In the central workspace, you’ll see your API key, subscription plan details, recent queries, and – all in one place for easy navigation and control.

Credits
We use a credit-based system to manage API usage across both search and data collection. There are two types of credits:
Search credits – used to send requests and preview data
Collect credits – used to enrich full records
Both credit types are included in free trials and subscription plans. When you purchase a subscription, you only pay for Collect credits. Depending on the plan, you’ll receive double (or more) Search credits at no extra cost.
You can use credits to generate search queries and download data in JSON, JSONL, or CSV formats.
Base and Clean data
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Multi-source Company data
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Multi-source Employee data
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Multi-source Jobs data
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Data download options
You can download data records by either calling our APIs directly or simply using our self-service platform.
Differences between JSON and JSONL files
JSON (JavaScript Object Notation) files: JSON files store data as a single, hierarchical structure, typically as an object or an array within curly or square brackets. Data in JSON files is one complete data structure.
JSONL (JSON Lines) files: JSONL files store data as individual JSON objects, each on a new line. Each line is a valid JSON object, but the file as a whole is not a valid JSON object because the objects are not enclosed within a larger array or object.
JSONL format is ideal for handling large datasets as it allows for incremental processing of data, which is useful in machine learning datasets or when working with large volumes of records.
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