# OpenSoon USA - Verified Pre-Opening Business Leads (`nobler_voyager/opensoon-usa`) Actor Find restaurants, bars, and liquor stores before or around opening from official US licensing records. - **URL**: https://apify.com/nobler\_voyager/opensoon-usa.md - **Developed by:** [Sergey Drozhzhin](https://apify.com/nobler_voyager) (community) - **Categories:** Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 verified opening leads 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## OpenSoon USA Find restaurants, bars, and liquor stores before or around opening, using official US licensing records. OpenSoon USA turns fragmented government feeds into one normalized, CRM-ready dataset. It is designed for POS and payment vendors, distributors, commercial insurers, payroll providers, signage companies, security vendors, and local marketing agencies that want to contact a business while it is still selecting suppliers. ### Why this data is useful A pending or first-time license is a stronger timing signal than an ordinary business directory listing: - Texas records show original alcohol applications with `Received` or `In Review` status. - California records show daily original alcohol license applications. - Chicago records show first-time business licenses and their start dates. The Actor does not guess whether a business is new from reviews or profile age. Every result links back to the official public source. ### Supported sources | Source | Signal | Typical freshness | | --- | --- | --- | | Texas TABC | Pending original alcohol license application | Daily | | California ABC | Daily new alcohol license application | Business days | | City of Chicago | First-time business license issued | Daily | Official sources: - [Texas TABC pending applications](https://data.texas.gov/dataset/Pending-Original-New-Primary-and-Subordinate-Licen/mxm5-tdpj) - [California ABC new applications](https://www.abc.ca.gov/licensing/licensing-reports/new-applications/) - [Chicago business licenses](https://data.cityofchicago.org/Community-Economic-Development/Business-Licenses/r5kz-chrr) ### Input example ```json { "sources": [ "texas_tabc", "california_abc", "chicago_business_licenses" ], "lookbackDays": 14, "businessTypes": ["restaurant", "bar", "liquor_store"], "cities": ["Austin", "San Diego", "Chicago"], "keywords": [], "includeTransfers": false, "monitorMode": false, "monitorKey": "default", "maxItems": 1000 } ```` Leave `cities` empty for all covered locations. Keywords are matched against the business name, owner, address, license description, and business activity. ### Output Each dataset item is one deduplicated business signal: ```json { "id": "texas_tabc:12345678:2026-07-15", "businessName": "SAMPLE KITCHEN", "businessType": "restaurant", "businessTypes": ["restaurant", "bar"], "owner": "SAMPLE HOSPITALITY LLC", "address": "100 MAIN ST, STE 200", "city": "AUSTIN", "state": "TX", "zip": "78701", "phone": "+15125550123", "eventDate": "2026-07-15", "status": "In Review", "signalType": "liquor_license_application", "openingStage": "license_in_review", "confidenceScore": 96, "licenseTypes": ["MB", "FB"], "source": "texas_tabc", "sourceUrl": "https://data.texas.gov/dataset/Pending-Original-New-Primary-and-Subordinate-Licen/mxm5-tdpj", "salesAngles": [ "POS and payment processing", "food and beverage distribution", "payroll and scheduling" ] } ``` Multiple license types belonging to the same application are combined into a single lead. ### Monitor mode Set `monitorMode` to `true` and run the Actor on an Apify Schedule. OpenSoon USA stores delivered IDs in a persistent named key-value store and returns only records it has not emitted before. Use a separate `monitorKey` for each customer, territory, or workflow: ```json { "monitorMode": true, "monitorKey": "texas-pos-team" } ``` The first monitored run returns the current matching records. Later runs return only newly discovered records. ### Integrations The default dataset can be exported as JSON, CSV, Excel, XML, RSS, or HTML. Use Apify webhooks or integrations to send new leads to: - HubSpot, Salesforce, or Pipedrive - Clay, Make, Zapier, or n8n - Google Sheets or a data warehouse - Slack or email alert workflows - AI agents through the Apify API or MCP ### Reliability - Socrata sources are queried through their official JSON APIs. - California reports are parsed from the official server-rendered table. - Requests use retries for rate limits and temporary server failures. - A failed source does not discard successful results from other sources. - The `OUTPUT` record reports source counts and partial failures. ### Limitations and responsible use A license application can be withdrawn, denied, transferred, or delayed. Treat each result as an early commercial signal, not proof of a future opening. The Actor only returns public business and licensing records. Users remain responsible for lawful outreach, including applicable CAN-SPAM, TCPA, state privacy, and do-not-call requirements. ### Local development ```bash cd opensoon_usa_actor python3 -m venv .venv ./.venv/bin/pip install -r requirements.txt ./.venv/bin/python -m opensoon_usa.local --input examples/default-input.json ``` Use `--summary-only` for a compact live-source health check. Deploy from this directory with the Apify CLI: ```bash apify login apify push ``` # Actor input Schema ## `sources` (type: `array`): Texas provides pending alcohol applications, California provides daily alcohol applications, and Chicago provides newly issued first-time business licenses. ## `lookbackDays` (type: `integer`): Return licensing signals published during the last N calendar days. ## `businessTypes` (type: `array`): Filter records using license types and business activity descriptions published by each authority. ## `cities` (type: `array`): Optional city filter. Leave empty to include every city covered by the selected sources. ## `keywords` (type: `array`): Optional case-insensitive terms matched against the business name, owner, address, license description, and activity. ## `includeTransfers` (type: `boolean`): Include California ownership and premises transfer applications in addition to original applications. ## `monitorMode` (type: `boolean`): Persist delivered IDs in a named key-value store. Scheduled runs with the same monitor key then emit only records not returned before. ## `monitorKey` (type: `string`): Use a different key for each independent client, territory, or workflow. ## `maxItems` (type: `integer`): Maximum number of normalized leads written to the dataset. ## Actor input object example ```json { "sources": [ "texas_tabc", "california_abc", "chicago_business_licenses" ], "lookbackDays": 14, "businessTypes": [ "restaurant", "bar", "liquor_store" ], "cities": [], "keywords": [], "includeTransfers": false, "monitorMode": false, "monitorKey": "default", "maxItems": 1000 } ``` # Actor output Schema ## `leads` (type: `string`): No description ## `summary` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nobler_voyager/opensoon-usa").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 = {} # Run the Actor and wait for it to finish run = client.actor("nobler_voyager/opensoon-usa").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 '{}' | apify call nobler_voyager/opensoon-usa --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nobler_voyager/opensoon-usa", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OpenSoon USA - Verified Pre-Opening Business Leads", "description": "Find restaurants, bars, and liquor stores before or around opening from official US licensing records.", "version": "0.1", "x-build-id": "Urlxfe4UaYO2d5wOp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nobler_voyager~opensoon-usa/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nobler_voyager-opensoon-usa", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nobler_voyager~opensoon-usa/runs": { "post": { "operationId": "runs-sync-nobler_voyager-opensoon-usa", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nobler_voyager~opensoon-usa/run-sync": { "post": { "operationId": "run-sync-nobler_voyager-opensoon-usa", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources", "lookbackDays", "businessTypes", "maxItems" ], "properties": { "sources": { "title": "Official data sources", "type": "array", "description": "Texas provides pending alcohol applications, California provides daily alcohol applications, and Chicago provides newly issued first-time business licenses.", "items": { "type": "string", "enum": [ "texas_tabc", "california_abc", "chicago_business_licenses" ], "enumTitles": [ "Texas TABC pending applications", "California ABC daily applications", "Chicago first-time business licenses" ] }, "default": [ "texas_tabc", "california_abc", "chicago_business_licenses" ] }, "lookbackDays": { "title": "Lookback period", "minimum": 1, "maximum": 60, "type": "integer", "description": "Return licensing signals published during the last N calendar days.", "default": 14 }, "businessTypes": { "title": "Business types", "type": "array", "description": "Filter records using license types and business activity descriptions published by each authority.", "items": { "type": "string", "enum": [ "restaurant", "bar", "liquor_store", "other" ], "enumTitles": [ "Restaurants and food service", "Bars and nightlife", "Liquor and package stores", "Other licensed businesses" ] }, "default": [ "restaurant", "bar", "liquor_store" ] }, "cities": { "title": "Cities", "type": "array", "description": "Optional city filter. Leave empty to include every city covered by the selected sources.", "items": { "type": "string", "maxLength": 80 }, "default": [] }, "keywords": { "title": "Business keywords", "type": "array", "description": "Optional case-insensitive terms matched against the business name, owner, address, license description, and activity.", "items": { "type": "string", "maxLength": 80 }, "default": [] }, "includeTransfers": { "title": "Include California transfers", "type": "boolean", "description": "Include California ownership and premises transfer applications in addition to original applications.", "default": false }, "monitorMode": { "title": "Only return newly discovered records", "type": "boolean", "description": "Persist delivered IDs in a named key-value store. Scheduled runs with the same monitor key then emit only records not returned before.", "default": false }, "monitorKey": { "title": "Monitor key", "pattern": "^[A-Za-z0-9._-]+$", "minLength": 1, "maxLength": 80, "type": "string", "description": "Use a different key for each independent client, territory, or workflow.", "default": "default" }, "maxItems": { "title": "Maximum leads", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of normalized leads written to the dataset.", "default": 1000 } } }, "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 } } } } } } } } } } ```