# Municipal Council Minutes & Agenda Scraper (`jungle_synthesizer/municipal-council-minutes-agenda-scraper`) Actor Scrapes US city council meeting agendas, minutes, votes, and documents from Granicus, Legistar, CivicWeb, and PrimeGov platforms — covering 80%+ of US municipalities. Input a platform type and client slug to fetch all meetings, or filter by date range and meeting body. - **URL**: https://apify.com/jungle\_synthesizer/municipal-council-minutes-agenda-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Other - **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 ## Municipal Council Minutes & Agenda Scraper Fetch US city council meeting agendas, minutes, and documents from major municipal government platforms. Supports PrimeGov, Granicus, Legistar, and CivicWeb — covering thousands of US municipalities. Input a platform type and client slug to retrieve meeting records normalized into a single schema. --- ### Features - Supports four municipal government platforms: PrimeGov, Granicus, Legistar, and CivicWeb. - Returns meeting body, date, time, location, agenda status, document URLs, video URL, and source link for each meeting. - Filter by date range (`startDate` / `endDate`) and governing body name (`bodyName`). - Single flat output schema across all platforms — one query, one dataset. --- ### Who Uses Municipal Meeting Data? - **Civic technology and government transparency tools** — Track council votes, planning decisions, and public comment periods across municipalities. - **Real estate and land use intelligence** — Monitor zoning hearings, planning commission approvals, and variance requests before they become public news. - **Local news and investigative journalism** — Automate monitoring of city council, school board, and special district meetings. - **Government relations and lobbying** — Follow agenda items relevant to clients across dozens of municipalities without manual calendar checks. - **Academic and policy research** — Build longitudinal datasets of local government activity across cities and regions. --- ### How It Works 1. Choose a platform (`primegov`, `granicus`, `legistar`, or `civicweb`) and provide the municipality's client slug (e.g. `longbeach` for Long Beach, CA on PrimeGov). 2. Optionally filter by date range or governing body name. 3. The scraper queries the platform's public API and returns normalized meeting records. --- ### Input ```json { "platform": "primegov", "clientSlug": "longbeach", "startDate": "2024-01-01", "endDate": "2024-12-31", "bodyName": "City Council", "maxItems": 100 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `platform` | string | `primegov` | Platform vendor: `primegov`, `granicus`, `legistar`, or `civicweb` | | `clientSlug` | string | `longbeach` | Municipality client slug on the platform (e.g. `longbeach`, `seattle`, `chicago`) | | `startDate` | string | — | Filter meetings on or after this date (YYYY-MM-DD) | | `endDate` | string | — | Filter meetings on or before this date (YYYY-MM-DD) | | `bodyName` | string | — | Filter by governing body name (case-insensitive substring match) | | `maxItems` | integer | 10 | Maximum number of meeting records to return | *** ### Platform & Client Slug Guide Each platform assigns a slug to each municipality. Here are examples: | Platform | Example Slugs | URL Pattern | |----------|--------------|-------------| | `primegov` | `longbeach`, `renton` | `{slug}.primegov.com` | | `granicus` | `seattle`, `portland`, `denver` | `{slug}.granicus.com` | | `legistar` | `seattle`, `chicago`, `nyc`, `boston` | `{slug}.legistar.com` | | `civicweb` | `hamilton` | `{slug}.civicweb.net` | To find your city's slug: visit the city's portal (e.g. `seattle.legistar.com`) — the subdomain is the slug. *** ### Output Schema Each record represents one meeting: | Field | Type | Description | |-------|------|-------------| | `platform` | string | Platform vendor (`primegov`, `granicus`, `legistar`, `civicweb`) | | `city` | string | Municipality client slug | | `state` | string | US state abbreviation (when available) | | `body` | string | Governing body name (City Council, Planning Commission, etc.) | | `meeting_type` | string | Meeting type or status | | `meeting_date` | string | Meeting date (YYYY-MM-DD) | | `meeting_time` | string | Meeting start time (HH:MM) | | `location` | string | Meeting location or address | | `agenda_status` | string | Agenda document status (Draft, Final, etc.) | | `agenda_items` | string | Agenda item titles (top-level, comma-separated) | | `document_urls` | string | Space-separated list of agenda/minutes document URLs | | `video_url` | string | URL to meeting video recording (where available) | | `source_url` | string | Canonical URL for this meeting on the platform portal | | `meeting_id` | string | Platform-internal meeting identifier | *** ### Example Output ```json { "platform": "primegov", "city": "longbeach", "state": "", "body": "City Council", "meeting_type": "Regular", "meeting_date": "2024-09-17", "meeting_time": "5:00 PM", "location": "City Hall - Council Chambers", "agenda_status": "Published", "agenda_items": "", "document_urls": "https://longbeach.primegov.com/meeting/4567/agenda.pdf", "video_url": "", "source_url": "https://longbeach.primegov.com/portal/meeting?compiledMeetingDocumentFileId=4567", "meeting_id": "4567" } ``` # 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. ## `platform` (type: `string`): Platform vendor to scrape. One of: granicus, legistar, civicweb, primegov. ## `clientSlug` (type: `string`): The municipality's client slug on the platform (e.g. "seattle" for seattle.legistar.com, or "portland" for portland.granicus.com). Required. Example: seattle, chicago, boston, losangeles. ## `startDate` (type: `string`): Only return meetings on or after this date (ISO 8601: YYYY-MM-DD). Leave blank for no lower bound. ## `endDate` (type: `string`): Only return meetings on or before this date (ISO 8601: YYYY-MM-DD). Leave blank for no upper bound. ## `bodyName` (type: `string`): Filter by governing body name (case-insensitive substring match). E.g. "City Council", "Planning Commission". Leave blank for all bodies. ## `maxItems` (type: `integer`): Maximum number of meeting records to return. ## 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...", "platform": "primegov", "clientSlug": "longbeach", "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...", "platform": "primegov", "clientSlug": "longbeach", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/municipal-council-minutes-agenda-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...", "platform": "primegov", "clientSlug": "longbeach", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/municipal-council-minutes-agenda-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...", "platform": "primegov", "clientSlug": "longbeach", "maxItems": 10 }' | apify call jungle_synthesizer/municipal-council-minutes-agenda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/municipal-council-minutes-agenda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Municipal Council Minutes & Agenda Scraper", "description": "Scrapes US city council meeting agendas, minutes, votes, and documents from Granicus, Legistar, CivicWeb, and PrimeGov platforms — covering 80%+ of US municipalities. Input a platform type and client slug to fetch all meetings, or filter by date range and meeting body.", "version": "0.1", "x-build-id": "k6FYgF3tT5VOLFq24" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~municipal-council-minutes-agenda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-municipal-council-minutes-agenda-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~municipal-council-minutes-agenda-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-municipal-council-minutes-agenda-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~municipal-council-minutes-agenda-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-municipal-council-minutes-agenda-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", "required": [ "platform", "clientSlug", "maxItems" ], "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." }, "platform": { "title": "Platform", "enum": [ "granicus", "legistar", "civicweb", "primegov" ], "type": "string", "description": "Platform vendor to scrape. One of: granicus, legistar, civicweb, primegov.", "default": "primegov" }, "clientSlug": { "title": "Client Slug", "type": "string", "description": "The municipality's client slug on the platform (e.g. \"seattle\" for seattle.legistar.com, or \"portland\" for portland.granicus.com). Required. Example: seattle, chicago, boston, losangeles." }, "startDate": { "title": "Start Date", "type": "string", "description": "Only return meetings on or after this date (ISO 8601: YYYY-MM-DD). Leave blank for no lower bound." }, "endDate": { "title": "End Date", "type": "string", "description": "Only return meetings on or before this date (ISO 8601: YYYY-MM-DD). Leave blank for no upper bound." }, "bodyName": { "title": "Body / Committee Name", "type": "string", "description": "Filter by governing body name (case-insensitive substring match). E.g. \"City Council\", \"Planning Commission\". Leave blank for all bodies." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of meeting records to return.", "default": 10 } } }, "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 } } } } } } } } } } ```