# US Public Transit Agency Leads & Intelligence Scraper (`scrapesage/us-transit-agency-leads-scraper`) Actor Scrape every US public transit agency from the official FTA National Transit Database: agency, organization type, website, address, fleet size, modes, annual ridership, operating budget, service area & lead score. Govtech leads, monitor mode. - **URL**: https://apify.com/scrapesage/us-transit-agency-leads-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 transit agency lead records 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 ## US Public Transit Agency Leads & Intelligence Scraper (FTA NTD) Build a **clean, structured list of every US public transit agency** — straight from the **official FTA National Transit Database (NTD)**. Every record carries the firmographics and market intelligence govtech vendors qualify on: **agency name, organization type, website, mailing address, fleet size, modes operated, annual ridership, total operating budget, service-area population, FTA region, geo coordinates**, plus a 0–100 lead score. No login, no cookies, no browser, no proxy — fast JSON extraction from the federal open-data portal. ### Why this transit-agency scraper? The only other NTD tools on Apify are chat/MCP wrappers that answer one-off questions. This actor ships the **complete structured dataset** — the spine of every NTD reporter agency, **enriched** with the per-mode service metrics (modes, ridership and operating expenses) joined on the NTD ID — so you can filter, score and export a real prospecting list. | Data | NTD chat/MCP tools | This actor (structured leads) | |---|---|---| | Every US transit agency in one export | ❌ | ✅ | | Organization type (authority / city / MPO / private operator…) | ❌ | ✅ | | Website & mailing address | partial | ✅ | | **Fleet size** (vehicles operated) | ❌ | ✅ | | **Modes operated** (bus / light rail / heavy rail / ferry / demand response…) | partial | ✅ | | **Annual ridership** (unlinked passenger trips) | partial | ✅ | | **Total operating budget** (operating expenses) | ❌ | ✅ | | Service-area population & urbanized area | ❌ | ✅ | | UEI (links to SAM.gov) & FTA region | ❌ | ✅ | | Lead score (0–100) | ❌ | ✅ | | Only-new **monitor mode** | ❌ | ✅ | ### Coverage The official **FTA National Transit Database** (`datahub.transportation.gov`, keyless government open data): ~2,900 US transit agencies across all 50 states, DC and territories — urban and rural reporters, public authorities, city/county systems, MPOs, state DOTs, tribal and private contract operators. Enriched with the latest annual service metrics (modes, ridership, operating expenses) by NTD ID. ### Use cases - **Sell rolling stock & EV buses** — filter by `minVehicles`, `modes` (Bus) and `minOperatingExpenses` to find agencies with large fleets and the budget to replace them. - **Transit software & ITS** (CAD/AVL, scheduling, fare collection, planning, real-time, maintenance/EAM) — target agencies by fleet size, modes, ridership and budget; segment rail vs bus vs demand-response. - **Rail & ferry vendors** — set `railOperatorsOnly` or filter `modes` to Light/Heavy/Commuter Rail or Ferry. - **Consulting, engineering & A&E** — map agencies by service-area population, urbanized area and FTA region for pursuit planning. - **Fuel, parts, tires, shelters, fare media, uniforms** — qualify by fleet size and operating budget. - **Government-affairs & grants** — agencies with UEI + FTA region for federal funding outreach. - **Recurring intelligence feed** — schedule with **monitor mode** to catch new reporters and fleet/ridership/budget changes each NTD release. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **US Public Transit Agency Leads & Intelligence Scraper**, pick `states` and (optionally) `orgCategories` / `modes`, then click **Start**. 3. Watch agencies stream into the dataset table. 4. **Export** as JSON, CSV, Excel, XML or RSS — or pull results via the [Apify API](https://docs.apify.com/api/v2). ### Input ```json { "states": ["CA", "TX"], "modes": ["Bus"], "minVehicles": 50, "minOperatingExpenses": 20000000, "sortBy": "operatingBudget", "maxResults": 1000, "monitorMode": false } ```` - **states** — two-letter codes (`CA`, `TX`, `NY`, …). Empty = all. - **orgCategories** — `transit_authority`, `local_government`, `state_government`, `planning_mpo`, `private_for_profit`, `private_nonprofit`, `university`, `tribal`, `other`. - **serviceModule** — `urban`, `rural`, or `any`. - **modes** — match agencies operating a mode (`Bus`, `Light Rail`, `Heavy Rail`, `Commuter Rail`, `Ferry`, `Demand Response`, `Vanpool`, `Streetcar`). - **railOperatorsOnly** — only rail operators. - **reporterTypes** — `Full Reporter`, `Reduced Reporter`, `Rural Reporter`, … - **minVehicles / maxVehicles** — fleet-size filters. - **minServiceAreaPopulation / minAnnualRidership / minOperatingExpenses** — size & budget thresholds. - **cities / nameQuery / hasWebsite** — location & quality filters. - **includeServiceMetrics** *(default true)* — enrich with modes, ridership and operating budget. - **sortBy** — `leadScore`, `fleetSize`, `ridership`, `operatingBudget`, `serviceAreaPop`, `name`. - **includeRawFields** *(default true)* — attach the full original NTD row under `sourceFields`. - **monitorMode / monitorKey** — only output NEW or CHANGED agencies since the last run with the same key. ### Output One normalized lead record per transit agency: ```json { "recordType": "transitAgency", "recordId": "NTD-90154", "ntdId": "90154", "agencyName": "Los Angeles County Metropolitan Transportation Authority", "organizationType": "Independent Public Agency or Authority of Transit Service", "orgCategory": "transit_authority", "orgCategoryLabel": "Public transit authority", "reporterType": "Full Reporter", "reportingModule": "Urban", "modes": ["Bus", "Demand Response", "Heavy Rail", "Light Rail", "Vanpool"], "modeCount": 5, "isRailOperator": true, "annualRidership": 277000000, "operatingExpenses": 2100000000, "totalVehicles": 2300, "fleetTier": "large", "serviceAreaPopulation": 9800000, "urbanizedAreaName": "Los Angeles--Long Beach--Anaheim, CA", "website": "http://www.metro.net", "street": "One Gateway Plaza", "city": "Los Angeles", "state": "CA", "stateName": "California", "zip": "90012", "ftaRegion": "Region 9", "uei": "…", "latitude": 34.0561, "longitude": -118.2353, "leadSignals": ["largeFleet", "largeServiceArea", "highRidership", "largeOperatingBudget", "fullReporter", "hasWebsite", "urban", "railOperator", "transitAuthority", "hasUEI"], "leadScore": 100, "scrapedAt": "2026-06-22T04:00:00.000Z", "sourceFields": { "...": "full original NTD row" } } ``` Fields are `null` only when the NTD genuinely doesn't publish them (e.g. a planning agency that operates no service has no modes/ridership). ### Monitor mode & scheduling - Turn on **monitorMode** and give each saved search its own **monitorKey**. - The actor remembers every agency it has emitted (in a named key-value store) and, on the next run, outputs **only new or changed** agencies — new reporters, fleet changes, ridership/budget changes, contact changes. - Pair it with [Apify Schedules](https://docs.apify.com/platform/schedules). Monitor mode and the scheduler are complementary: the **schedule** decides *when* to run, **monitor mode** decides *what's new* — they never conflict. ### Automate & schedule - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run on each NTD release to track changes. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger CRM import, Slack alert or an email sequence when a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/us-transit-agency-leads-scraper').call({ states: ['CA', 'TX'], modes: ['Bus'], minVehicles: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} transit agency leads`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new agency leads straight into your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get pinged when a monitored search finds new agencies. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "list California transit agencies with 100+ buses and a website" and let it run this scraper. ### More scrapers from scrapesage Build a complete **government & infrastructure go-to-market stack**: - **[US Airport & Aviation Facility Leads Scraper](https://apify.com/scrapesage/us-aviation-facility-leads-scraper)** — airports, heliports & seaplane bases with owner/manager contacts. - **[FMCSA Trucking Scraper](https://apify.com/scrapesage/fmcsa-trucking-scraper)** — motor carriers, brokers & freight companies with phone/email. - **[US Auto Dealer Scraper](https://apify.com/scrapesage/us-auto-dealer-scraper)** — licensed vehicle dealers & repair shops. - **[Vehicle Manufacturer Leads Scraper](https://apify.com/scrapesage/vehicle-manufacturer-leads-scraper)** — US vehicle & equipment manufacturers from the NHTSA registry. - **[USAspending Scraper](https://apify.com/scrapesage/usaspending-scraper)** — federal awards & recipients (transit grants & contractors). - **[GSA eLibrary Scraper](https://apify.com/scrapesage/gsa-elibrary-scraper)** — federal-contract holders (GSA schedule vendors). - **[SAM.gov Scraper](https://apify.com/scrapesage/sam-gov-scraper)** — federal entity registrations & opportunities. - **[US School Leads Scraper](https://apify.com/scrapesage/us-schools-scraper)** — schools, districts & colleges (school-bus & student-transport buyers). - **[US Fire Department Leads Scraper](https://apify.com/scrapesage/us-fire-department-leads-scraper)** — fire departments (public-fleet & apparatus buyers). - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — enrich agency websites with emails, phones & socials. ### Tips - **Big-fleet ICP**: `minVehicles: 100` + `sortBy: "fleetSize"` surfaces the largest fleets first (rolling-stock / EV-bus / fleet-software buyers). - **Budget ICP**: `minOperatingExpenses: 20000000` + `sortBy: "operatingBudget"` targets agencies with real purchasing power. - **Rail vendors**: `railOperatorsOnly: true` or `modes: ["Light Rail", "Heavy Rail", "Commuter Rail"]`. - **Rural programs**: `serviceModule: "rural"` for rural transit grants/vendors. - **Fresh changes only**: turn on `monitorMode` + a `monitorKey` and schedule on each NTD release. - **Email enrichment**: the NTD publishes website + address; pair with the [Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper) to add emails. ### FAQ **Where does the data come from?** The official Federal Transit Administration (FTA) National Transit Database (NTD), published as government open data on `datahub.transportation.gov`. Each record links back under `sourceUrl`. **Does it include phone numbers?** The public NTD agency table publishes website + mailing address (not phone). Agency name + website + full address already make these directly actionable; pair with the [Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper) for emails/phones. **What are modes, ridership and operating budget?** They come from the NTD service-metrics table, aggregated per agency for the latest reporting year and joined on the NTD ID. Turn off `includeServiceMetrics` to skip the enrichment. **Can I export to Google Sheets, CSV or Excel?** Yes — one click in the dataset view, or automatically every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **Is scraping this data legal?** It collects publicly available federal open data only. You are responsible for using the data in compliance with applicable laws and the portal's terms. **A field is null — why?** The NTD doesn't publish that field for that agency (e.g. a planning agency that operates no service has no modes/ridership). Fields are `null` only when the data genuinely doesn't exist. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests — including more NTD tables (facilities, fares, asset inventory) — are welcome; this actor is actively maintained. # Actor input Schema ## `states` (type: `array`): Two-letter state/territory codes to include (e.g. CA, TX, NY). Leave empty for all 50 states + DC + territories. ## `orgCategories` (type: `array`): Filter by agency organization category: transit\_authority, local\_government, state\_government, planning\_mpo, private\_for\_profit, private\_nonprofit, university, tribal, other. Leave empty for all. ## `serviceModule` (type: `string`): Limit to urban or rural reporters. ## `modes` (type: `array`): Only include agencies that operate one of these modes (matched on mode name, case-insensitive). Examples: Bus, Light Rail, Heavy Rail, Commuter Rail, Ferry, Demand Response, Vanpool, Streetcar. ## `railOperatorsOnly` (type: `boolean`): Only include agencies that operate a rail mode (light/heavy/commuter rail, streetcar, monorail). ## `reporterTypes` (type: `array`): Filter by NTD reporter type (e.g. Full Reporter, Reduced Reporter, Rural Reporter, Building Reporter). ## `minVehicles` (type: `integer`): Only include agencies with at least this many vehicles operated in maximum service (fleet size). Larger fleets are prime targets for rolling-stock, EV-bus and fleet software. ## `maxVehicles` (type: `integer`): Only include agencies with at most this many vehicles. ## `minServiceAreaPopulation` (type: `integer`): Only include agencies whose service-area population is at least this. ## `minAnnualRidership` (type: `integer`): Only include agencies with at least this many annual unlinked passenger trips (requires service metrics). ## `minOperatingExpenses` (type: `integer`): Only include agencies whose total annual operating expenses are at least this (a buying-power signal; requires service metrics). ## `cities` (type: `array`): Only include agencies whose city contains one of these (case-insensitive). ## `nameQuery` (type: `string`): Only include agencies whose name or urbanized-area name contains this text (case-insensitive). ## `hasWebsite` (type: `boolean`): Only include agencies that list a website. ## `includeServiceMetrics` (type: `boolean`): Enrich each agency with modes operated, annual ridership and total operating expenses by joining the NTD service-metrics table. Recommended (small extra fetch). ## `sortBy` (type: `string`): Order of the output records. ## `maxResults` (type: `integer`): Maximum number of agency lead records to output. ## `includeRawFields` (type: `boolean`): Attach the full original NTD row to each record under sourceFields (richest possible dataset). ## `monitorMode` (type: `boolean`): Only output agencies that are NEW or CHANGED since the last run with the same Monitor key. Pairs perfectly with Apify Schedules to track new reporters, fleet/budget/ridership changes. ## `monitorKey` (type: `string`): Names the saved monitor state. Use one key per saved search so different schedules don't overwrite each other. ## `deduplicateResults` (type: `boolean`): Drop duplicate agencies within a run (recommended). ## `socrataAppToken` (type: `string`): Optional Socrata app token to raise rate limits. Not required — the NTD is keyless. ## `proxyConfiguration` (type: `object`): Proxy settings. Not needed — the NTD open-data API is reachable directly. Leave proxy off for the cheapest, fastest runs. ## Actor input object example ```json { "states": [ "CA" ], "serviceModule": "any", "railOperatorsOnly": false, "hasWebsite": false, "includeServiceMetrics": true, "sortBy": "leadScore", "maxResults": 1000, "includeRawFields": true, "monitorMode": false, "monitorKey": "default", "deduplicateResults": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): All scraped transit-agency lead records as JSON items in the default dataset. # 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 = { "states": [ "CA" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/us-transit-agency-leads-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 = { "states": ["CA"] } # Run the Actor and wait for it to finish run = client.actor("scrapesage/us-transit-agency-leads-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 '{ "states": [ "CA" ] }' | apify call scrapesage/us-transit-agency-leads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/us-transit-agency-leads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Public Transit Agency Leads & Intelligence Scraper", "description": "Scrape every US public transit agency from the official FTA National Transit Database: agency, organization type, website, address, fleet size, modes, annual ridership, operating budget, service area & lead score. Govtech leads, monitor mode.", "version": "0.1", "x-build-id": "8kRz6CdnpD8v7DCOh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~us-transit-agency-leads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-us-transit-agency-leads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~us-transit-agency-leads-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-us-transit-agency-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~us-transit-agency-leads-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-us-transit-agency-leads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "states": { "title": "States", "type": "array", "description": "Two-letter state/territory codes to include (e.g. CA, TX, NY). Leave empty for all 50 states + DC + territories.", "items": { "type": "string" } }, "orgCategories": { "title": "Organization type", "type": "array", "description": "Filter by agency organization category: transit_authority, local_government, state_government, planning_mpo, private_for_profit, private_nonprofit, university, tribal, other. Leave empty for all.", "items": { "type": "string" } }, "serviceModule": { "title": "Urban / Rural", "enum": [ "any", "urban", "rural" ], "type": "string", "description": "Limit to urban or rural reporters.", "default": "any" }, "modes": { "title": "Transit modes", "type": "array", "description": "Only include agencies that operate one of these modes (matched on mode name, case-insensitive). Examples: Bus, Light Rail, Heavy Rail, Commuter Rail, Ferry, Demand Response, Vanpool, Streetcar.", "items": { "type": "string" } }, "railOperatorsOnly": { "title": "Rail operators only", "type": "boolean", "description": "Only include agencies that operate a rail mode (light/heavy/commuter rail, streetcar, monorail).", "default": false }, "reporterTypes": { "title": "Reporter type", "type": "array", "description": "Filter by NTD reporter type (e.g. Full Reporter, Reduced Reporter, Rural Reporter, Building Reporter).", "items": { "type": "string" } }, "minVehicles": { "title": "Minimum fleet size (vehicles)", "minimum": 0, "type": "integer", "description": "Only include agencies with at least this many vehicles operated in maximum service (fleet size). Larger fleets are prime targets for rolling-stock, EV-bus and fleet software." }, "maxVehicles": { "title": "Maximum fleet size (vehicles)", "minimum": 0, "type": "integer", "description": "Only include agencies with at most this many vehicles." }, "minServiceAreaPopulation": { "title": "Minimum service-area population", "minimum": 0, "type": "integer", "description": "Only include agencies whose service-area population is at least this." }, "minAnnualRidership": { "title": "Minimum annual ridership", "minimum": 0, "type": "integer", "description": "Only include agencies with at least this many annual unlinked passenger trips (requires service metrics)." }, "minOperatingExpenses": { "title": "Minimum operating budget (USD)", "minimum": 0, "type": "integer", "description": "Only include agencies whose total annual operating expenses are at least this (a buying-power signal; requires service metrics)." }, "cities": { "title": "Cities", "type": "array", "description": "Only include agencies whose city contains one of these (case-insensitive).", "items": { "type": "string" } }, "nameQuery": { "title": "Name contains", "type": "string", "description": "Only include agencies whose name or urbanized-area name contains this text (case-insensitive)." }, "hasWebsite": { "title": "Has website", "type": "boolean", "description": "Only include agencies that list a website.", "default": false }, "includeServiceMetrics": { "title": "Include service metrics (modes, ridership, budget)", "type": "boolean", "description": "Enrich each agency with modes operated, annual ridership and total operating expenses by joining the NTD service-metrics table. Recommended (small extra fetch).", "default": true }, "sortBy": { "title": "Sort by", "enum": [ "leadScore", "fleetSize", "ridership", "operatingBudget", "serviceAreaPop", "name" ], "type": "string", "description": "Order of the output records.", "default": "leadScore" }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Maximum number of agency lead records to output.", "default": 1000 }, "includeRawFields": { "title": "Include raw source fields", "type": "boolean", "description": "Attach the full original NTD row to each record under sourceFields (richest possible dataset).", "default": true }, "monitorMode": { "title": "Monitor mode (only new / changed)", "type": "boolean", "description": "Only output agencies that are NEW or CHANGED since the last run with the same Monitor key. Pairs perfectly with Apify Schedules to track new reporters, fleet/budget/ridership changes.", "default": false }, "monitorKey": { "title": "Monitor key", "type": "string", "description": "Names the saved monitor state. Use one key per saved search so different schedules don't overwrite each other.", "default": "default" }, "deduplicateResults": { "title": "Deduplicate results", "type": "boolean", "description": "Drop duplicate agencies within a run (recommended).", "default": true }, "socrataAppToken": { "title": "Socrata app token (optional)", "type": "string", "description": "Optional Socrata app token to raise rate limits. Not required — the NTD is keyless." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Not needed — the NTD open-data API is reachable directly. Leave proxy off for the cheapest, fastest runs.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```