Interactive network visualization tracking $3.7 billion in lobbying spending. See the connections from corporations to lobbyists to lawmakers to legislation. Who's buying influence, and what are they getting for it?
β Back to All ProjectsEvery year, corporations and special interests spend billions lobbying Congress. But the money flow isn't randomβit's a network. The same lobbyists work for multiple corporations. The same lawmakers receive money from connected interests. And the same bills benefit the same industries.
Lobbying Disclosure: Senate Office of Public Records (LDA database - quarterly lobbying reports)
Campaign Finance: OpenSecrets.org (Center for Responsive Politics - PAC contributions, individual donations)
Legislation Tracking: Congress.gov API (bill text, sponsors, voting records)
Revolving Door: OpenSecrets lobbying tracker (former government officials now lobbying)
Corporate Data: SEC EDGAR (parent companies, subsidiaries, lobbying registrations)
β’ Which corporations spend the most on lobbying? What are they lobbying for?
β’ Who are the most connected lobbyists? (Working for multiple competing interests)
β’ Which lawmakers receive the most lobbying money/attention?
β’ Does lobbying spending predict voting patterns on key legislation?
β’ What's the "revolving door" effect? (Former lawmakers/staffers now lobbying)
β’ return on investment: How much lobbying spend per favorable vote/amendment?
β’ Are there lobbying "cartels"? (Industries coordinating through shared lobbyists)
Similar to Dow Jones Project: D3.js force-directed network with clustering
Node Types:
β’ Corporations (size by lobbying spend)
β’ Lobbying firms (color by top industry)
β’ Individual lobbyists (highlight former government officials)
β’ Lawmakers (color by party, size by total receipts)
β’ Legislation (linked when lobbied)
Clustering Modes:
β’ By Industry (Healthcare, Finance, Tech, Energy, etc.)
β’ By Party (Democratic lawmakers, Republican lawmakers)
β’ By Issue (Climate bills, Tax bills, Defense bills, etc.)
β’ Revolving Door (highlight gov-to-lobbying pipeline)
β³ Data Collection: Senate LDA database scraping
β³ Data Collection: OpenSecrets API integration
π Planned: D3 force-directed network (adapt from Dow Jones)
π Planned: Clustering algorithms by industry/party/issue
π Planned: Search/filter interface for specific lawmakers
π Planned: Money flow sankey diagrams