Pricing

Pay per event

Lobbying Disclosure Scraper - Senate LDA Filings

Scrape US federal lobbying disclosure filings from the Senate LDA database. Extract registrants, clients, lobbyists, activities, issue areas, and government entities. Filter by year, period, issue, registrant, or client.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

Categories

Business

Lead generation

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You can access the Lobbying Disclosure Scraper - Senate LDA Filings programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "filingYear": 2024,
13    "filingPeriod": "",
14    "filingType": "",
15    "registrantName": "",
16    "clientName": "",
17    "clientState": "",
18    "issueAreaCode": "",
19    "specificIssueSearch": "",
20    "datePostedFrom": "",
21    "datePostedTo": "",
22    "maxItems": 100,
23}
24
25# Run the Actor and wait for it to finish
26run = client.actor("jungle_synthesizer/lobbying-disclosure-crawler").call(run_input=run_input)
27
28# Fetch and print Actor results from the run's dataset (if there are any)
29print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
30for item in client.dataset(run["defaultDatasetId"]).iterate_items():
31    print(item)
32
33# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Lobbying Disclosure Scraper - Senate LDA Filings API in Python

The Apify API client for Python is the official library that allows you to use Lobbying Disclosure Scraper - Senate LDA Filings API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Lobbying Disclosure Scraper - Senate LDA Filings API in JavaScript

Lobbying Disclosure Scraper - Senate LDA Filings API through CLI

Lobbying Disclosure Scraper - Senate LDA Filings OpenAPI definition

Lobbying Disclosure Scraper - Senate LDA Filings API

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oriented_wallpaper/lobbying-disclosure-scraper

Scrape US federal lobbying disclosures from the official Senate LDA API — registrant (firm), client, income/expenses, issues lobbied, named lobbyists & targeted agencies. Filter by year/registrant/client/issue, dedupe. Export CSV/JSON/Excel. No API key.

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Extract lobbying filings, contributions, registrants, clients, and lobbyists from the U.S. Senate LDA database. 5 datasets, server-side filters, clean JSON.

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nexgendata/lda-lobbying-disclosure-scraper

Scrape federal Lobbying Disclosure Act filings — registrant + client, year/period, income/expenses (USD), lobbying activities (issue codes + descriptions), named lobbyists, government entities contacted. OpenSecrets feed for journalism, corporate affairs, advocacy, compliance.

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ryanclinton/senate-lobbying-search

Search **25+ years of federal lobbying disclosure filings** from the US Senate LDA database. Find out who is lobbying Congress, on behalf of which clients, on what policy issues, how much money is involved, and which lobbyists have revolving-door government connections.

Ryan Clinton

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parseforge/us-senate-lda-filings-scraper

Harvest public records from Us Senate Lda Filings with identifiers, dates, parties, descriptions, status flags and direct links to source filings. Perfect for compliance, government affairs, due diligence and policy research. Run on demand or on a recurring schedule and feed every row into your f.