Best Lobbyist Datasets & Databases

What is lobbyist data and how can it be utilized? This article explores the best datasets and databases available for lobbyist data, providing valuable sources for purchasing this data on Datarade.ai. Discover the most comprehensive and reliable information on lobbyists, their activities, and their influence in various industries. Stay informed and make data-driven decisions with the help of these top-notch lobbyist datasets and databases.Learn more
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U.S. Lobbyists Dataset: 78k+ Federally Registered Lobbyists, with lobbyist employment histories & revolving door information

We utilize advanced data science techniques to ensure accurate data points are collected and ingested ... Our lobbying data is collected and aggregated from the U.S.
Available for 1 countries
78K Lobbyists
23 years of historical data
100% Federally Registered Lobbyist Coverage
Starts at
$750 / purchase
Free sample preview

Where can I buy Lobbyist Data?

Data providers and vendors listed on Datarade sell Lobbyist Data products and samples. Popular Lobbyist Data products and datasets available on our platform are U.S. Lobbyists Dataset: 78k+ Federally Registered Lobbyists, with lobbyist employment histories & revolving door information by LobbyingData.com.

How can I get Lobbyist Data?

You can get Lobbyist Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Lobbyist Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Lobbyist Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Lobbyist Data?

Lobbyist Data is similar to Federal Lobbying Data, Lobbying Entity Data, Lobbying Firm Data, and Lobbying Contract Data. These data categories are commonly used for Due Diligence and Investment Management.

What are the most common use cases for Lobbyist Data?

The top use cases for Lobbyist Data are Due Diligence, Investment Management, and Predictive Modeling.