# State Lobbyist Registry Scraper (`jungle_synthesizer/state-lobbyist-registry-scraper`) Actor Scrape registered lobbyist data from US state ethics commission websites. Phase 1 covers Florida (Legislative and Executive branches) with name, address, phone, and client/principal details including industry codes and effective dates. - **URL**: https://apify.com/jungle\_synthesizer/state-lobbyist-registry-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Lead generation, Business, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Florida Lobbyist Registry Scraper Scrapes registered lobbyist data from [Florida's Division of Lobby Registration](https://floridalobbyist.gov). Returns lobbyist name, mailing address, phone number, and full client/principal details — including NAICS industry codes and registration effective dates — for all lobbyists on file with the Legislative and Executive branches. --- ### Florida Lobbyist Registry Scraper Features - Extracts all registered lobbyists for a given year and branch from floridalobbyist.gov - Returns contact details: name, mailing address, phone number - Collects client/principal names the lobbyist is registered to represent - Includes NAICS industry codes and effective registration dates for each principal - Covers both Legislative (`L`) and Executive (`E`) branches — or both in a single run - Handles the full A–Z alphabetical index automatically, no manual pagination - Returns ~1,700 records for Legislative, ~1,600 for Executive (2025 data) - No proxies required. The Florida registry is a public government site --- ### Who Needs Florida Lobbyist Data? - **Government affairs researchers** — Track which lobbyists are active on behalf of specific industries, then cross-reference with legislation - **Journalists and watchdogs** — Map principal–lobbyist relationships for a reporting investigation, because the registry has all of it - **Compliance and ethics teams** — Screen vendors or partners for undisclosed lobbying activity - **Political data platforms** — Build or refresh a Florida-specific lobbying dataset from the authoritative source - **Law firms and consultancies** — Identify competitors' client relationships, or verify that a prospective hire's registration history is what they claim --- ### How Florida Lobbyist Registry Scraper Works 1. Pick a year and branch (`L`, `E`, or `both`) 2. The scraper iterates A–Z through the registry's alphabetical index, collecting every lobbyist detail page URL — roughly 1,700 per branch per year 3. Each detail page is fetched and parsed for name, address, phone, and a full list of represented principals with industry codes and effective dates 4. Results are saved to the Apify dataset as clean, structured JSON --- ### Input ```json { "state": "FL", "branch": "L", "year": 2025, "maxItems": 0 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `state` | string | `FL` | US state to scrape. Currently supports Florida (`FL`) only | | `branch` | string | `L` | Branch to scrape: `L` (Legislative), `E` (Executive), or `both` | | `year` | integer | `2025` | Registration year (2005–present) | | `maxItems` | integer | `0` | Maximum records to return. `0` means no limit — returns all lobbyists | *** ### Florida Lobbyist Registry Scraper Output Fields ```json { "lobbyist_id": "9312", "state": "FL", "branch": "L", "year": "2025", "name": "Jeff Aaron", "address": "5237 Summerlin Commons Blvd Suite 312 Fort Myers, FL 33907", "phone": "(239) 745-2777", "principals": "Florida Justice Association; Academy of Florida Elder Law Attorneys", "principal_industry_codes": "813319 Drug abuse prevention advocacy organizations; 813211 Grantmaking foundations", "principal_effective_dates": "3/14/2025; 1/21/2025", "filing_url": "https://floridalobbyist.gov/LobbyistInformation/LobbyistDetail/9312?year=2025&Branch=L", "scraped_at": "2026-05-05T10:54:37.838Z" } ``` | Field | Type | Description | |-------|------|-------------| | `lobbyist_id` | string | Numeric ID assigned by the Florida registry | | `state` | string | Two-letter state code (currently always `FL`) | | `branch` | string | `L` (Legislative) or `E` (Executive) | | `year` | string | Registration year | | `name` | string | Full legal name, resolving to current name if the lobbyist has a name change on file | | `address` | string | Mailing address as listed in the registry | | `phone` | string | Phone number | | `principals` | string | Semicolon-separated list of clients/principals the lobbyist is registered to represent | | `principal_industry_codes` | string | Semicolon-separated NAICS codes (with descriptions) for each principal | | `principal_effective_dates` | string | Semicolon-separated effective dates for each principal registration | | `filing_url` | string | Direct URL to the lobbyist's detail page on floridalobbyist.gov | | `scraped_at` | string | ISO 8601 timestamp of when the record was scraped | *** ### 🔍 FAQ #### How do I scrape the Florida lobbyist registry? Florida Lobbyist Registry Scraper handles the full process. Set `state: "FL"`, choose a branch, set a year, and run it. You'll have all registered lobbyists in your dataset without touching the registry interface yourself. #### How much does it cost to run? The scraper uses pay-per-event pricing: $0.10 per run start plus $0.001 per record. A full 2025 Legislative run (~1,700 lobbyists) costs roughly $1.80. Running both branches (~3,300 records) costs roughly $3.40. #### Can I get data for past years? Yes. The Florida registry has data going back to 2005. Set the `year` input to any year from 2005 onward and the scraper will pull that registration year's data. #### Does the scraper need proxies? Florida Lobbyist Registry Scraper doesn't need proxies. The Florida Division of Lobby Registration is a public government website with no rate limiting, no CAPTCHA, and no bot detection. It's one of the more cooperative government sites out there. #### What's the difference between Legislative and Executive branches? The Florida registry tracks lobbyists for two distinct branches. Legislative lobbyists (`L`) are registered with the Florida Legislature. Executive lobbyists (`E`) are registered with state agencies and the executive branch. Some lobbyists appear in both. Use `branch: "both"` to get everyone. *** ### Need More Features? Need data for additional states, different fields, or a custom configuration? [File an issue on the actor page](https://console.apify.com/actors/jXt0CYWUVfpxLZlgg) or get in touch. ### Why Use Florida Lobbyist Registry Scraper? - **Authoritative source** — Data comes directly from the Florida Division of Lobby Registration, the official state database, not a third-party aggregator - **Complete principal data** — Returns not just lobbyist contact info but the full client list with NAICS codes and effective dates, which is the data most tools skip - **Affordable** — $0.001/record means a full statewide pull costs less than a cup of coffee, which is less than it costs to pull this manually # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `state` (type: `string`): US state to scrape. Currently only Florida (FL) is supported. ## `branch` (type: `string`): Legislative branch to scrape. ## `year` (type: `integer`): Registration year to scrape (e.g. 2025). ## `maxItems` (type: `integer`): Maximum number of lobbyist records to scrape. Set to 0 for no limit. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "FL", "branch": "L", "year": 2025, "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "FL", "branch": "L", "year": 2025, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/state-lobbyist-registry-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "FL", "branch": "L", "year": 2025, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/state-lobbyist-registry-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "state": "FL", "branch": "L", "year": 2025, "maxItems": 10 }' | apify call jungle_synthesizer/state-lobbyist-registry-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/state-lobbyist-registry-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "State Lobbyist Registry Scraper", "description": "Scrape registered lobbyist data from US state ethics commission websites. Phase 1 covers Florida (Legislative and Executive branches) with name, address, phone, and client/principal details including industry codes and effective dates.", "version": "0.1", "x-build-id": "tl7fxYTkAdLenbjt6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~state-lobbyist-registry-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-state-lobbyist-registry-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~state-lobbyist-registry-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-state-lobbyist-registry-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~state-lobbyist-registry-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-state-lobbyist-registry-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "state": { "title": "State", "enum": [ "FL" ], "type": "string", "description": "US state to scrape. Currently only Florida (FL) is supported.", "default": "FL" }, "branch": { "title": "Branch", "enum": [ "L", "E", "both" ], "type": "string", "description": "Legislative branch to scrape.", "default": "L" }, "year": { "title": "Year", "type": "integer", "description": "Registration year to scrape (e.g. 2025).", "default": 2025 }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of lobbyist records to scrape. Set to 0 for no limit.", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```