# ✨ Crexi Extractor (`jupri/crexi`) Actor πŸ’« All-in-One Crexi.com Agents & Homes Scraper - **URL**: https://apify.com/jupri/crexi.md - **Developed by:** [cat](https://apify.com/jupri) (community) - **Categories:** Real estate - **Stats:** 37 total users, 1 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing $30.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Welcome To Crexi Agents Scraper ![dont be sad readme is here](https://raw.githubusercontent.com/JupriGH/resources/main/cats/catframe.png) ### About Crexi.com [CREXi](https://en.everybodywiki.com/CREXi#) β€” short for β€œCommercial [Real Estate](https://en.everybodywiki.com/CREXi#) Exchange” β€” is a Los Angeles, California-based online commercial real estate (CRE) marketplace and technology suite that consolidates the entire commercial real estate process into a unified ecosystem. CREXi’s platform and services allow brokers, buyers, and tenants to conduct the whole CRE process online from listing to closing.[[1]](https://en.everybodywiki.com/CREXi#cite_note-1). CREXi also offers marketing, analytics, and deal management software for brokers and buyers. CREXi most recently completed a Series B funding round[[2]](https://en.everybodywiki.com/CREXi#cite_note-2) in January 2020, raising $30 million to contribute toward scaling operations and building out data and AI services. This round followed a Series A raise of $11 million in 2018[[3]](https://en.everybodywiki.com/CREXi#cite_note-3) and two successive seed rounds in 2016 and 2017[[4]](https://en.everybodywiki.com/CREXi#cite_note-4) # Actor input Schema ## `query` (type: `array`): πŸ’‘ KEYWORDS or URL ## `location` (type: `array`): No description ## `search_mode` (type: `string`): No description ## `limit` (type: `integer`): Number of results ## `home_sort` (type: `string`): No description ## `home_types` (type: `array`): No description ## `home_status` (type: `array`): No description ## `min_price` (type: `integer`): No description ## `max_price` (type: `integer`): No description ## `no_unpriced` (type: `boolean`): No description ## `min_pps` (type: `integer`): No description ## `max_pps` (type: `integer`): No description ## `min_cap` (type: `integer`): No description ## `max_cap` (type: `integer`): No description ## `min_sqft` (type: `integer`): No description ## `max_sqft` (type: `integer`): No description ## `min_acre` (type: `integer`): No description ## `max_acre` (type: `integer`): No description ## `tenants` (type: `array`): No description ## `min_remain` (type: `integer`): No description ## `max_remain` (type: `integer`): No description ## `agents` (type: `array`): No description ## `brokershop` (type: `string`): No description ## `tenancies` (type: `array`): No description ## `lease_types` (type: `array`): No description ## `unit_type` (type: `string`): No description ## `min_value` (type: `integer`): No description ## `max_value` (type: `integer`): No description ## `tenant_credits` (type: `array`): No description ## `min_occupancy` (type: `integer`): No description ## `max_occupancy` (type: `integer`): No description ## `timeline` (type: `string`): πŸ’‘ Select one or input date range below ## `min_timeline` (type: `string`): No description ## `max_timeline` (type: `string`): No description ## `classes` (type: `array`): No description ## `opportunity_zone` (type: `boolean`): No description ## `broker_coop` (type: `boolean`): No description ## `owner_invest` (type: `boolean`): No description ## `rate_type` (type: `string`): No description ## `min_rate` (type: `integer`): No description ## `max_rate` (type: `integer`): No description ## `no_undisclosed_rate` (type: `boolean`): No description ## `lease_tenancies` (type: `array`): No description ## `criteria` (type: `array`): No description ## `min_noi` (type: `integer`): πŸ’‘ Net Operating Income (financials.netOperatingIncome) ## `max_noi` (type: `integer`): No description ## `min_size` (type: `integer`): πŸ’‘ propertyAttributes.buildingSqft ## `max_size` (type: `integer`): No description ## `min_buildings` (type: `integer`): πŸ’‘ propertyAttributes.buildingsCount ## `max_buildings` (type: `integer`): No description ## `min_units` (type: `integer`): πŸ’‘ propertyAttributes.unitsCount ## `max_units` (type: `integer`): No description ## `min_beds` (type: `integer`): πŸ’‘ propertyAttributes.bedsCount ## `max_beds` (type: `integer`): No description ## `min_stories` (type: `integer`): πŸ’‘ propertyAttributes.storiesCount ## `max_stories` (type: `integer`): No description ## `min_keys` (type: `integer`): πŸ’‘ propertyAttributes.keysCount ## `max_keys` (type: `integer`): No description ## `min_year` (type: `integer`): πŸ’‘ constructionYear.built ## `max_year` (type: `integer`): No description ## `min_dock_high_doors` (type: `integer`): πŸ’‘ propertyAttributes.dockHighDoorsCount ## `max_dock_high_doors` (type: `integer`): No description ## `min_loading_docks` (type: `integer`): πŸ’‘ propertyAttributes.loadingDocksCount ## `max_loading_docks` (type: `integer`): No description ## `min_ceilling` (type: `integer`): πŸ’‘ propertyAttributes.ceilingHeightFt ## `max_ceilling` (type: `integer`): No description ## `agent_types` (type: `string`): No description ## `brokerage` (type: `string`): No description ## `agent_name` (type: `string`): No description ## `associations` (type: `array`): No description ## `min_sold` (type: `integer`): No description ## `max_sold` (type: `integer`): No description ## `dev_proxy_config` (type: `object`): πŸ’‘ Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000 ## `dev_custom_headers` (type: `array`): πŸ’‘ Additional HTTP Headers ## `dev_custom_cookies` (type: `array`): πŸ’‘ Additional HTTP Cookies ## `dev_transform_fields` (type: `array`): πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
## `dev_dataset_name` (type: `string`): πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME} ## `dev_dataset_clear` (type: `boolean`): Clear Dataset before insert/update. ## `dev_no_strip` (type: `boolean`): πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING) ## Actor input object example ```json { "limit": 5 } ```` # 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 = { "limit": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("jupri/crexi").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "limit": 5 } # Run the Actor and wait for it to finish run = client.actor("jupri/crexi").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "limit": 5 }' | apify call jupri/crexi --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jupri/crexi", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✨ Crexi Extractor", "description": "πŸ’« All-in-One Crexi.com Agents & Homes Scraper", "version": "0.1", "x-build-id": "gAhpc9b9IlweUgtvf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jupri~crexi/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jupri-crexi", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/jupri~crexi/runs": { "post": { "operationId": "runs-sync-jupri-crexi", "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/jupri~crexi/run-sync": { "post": { "operationId": "run-sync-jupri-crexi", "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": { "query": { "title": "❓ Query", "type": "array", "description": "πŸ’‘ KEYWORDS or URL", "items": { "type": "string" } }, "location": { "title": "🧭 Location", "type": "array", "description": "", "items": { "type": "string" } }, "search_mode": { "title": "πŸ”Ž Search Mode", "enum": [ "sales", "leases", "records", "agents" ], "type": "string", "description": "" }, "limit": { "title": "♾️ Limit", "type": "integer", "description": "Number of results" }, "home_sort": { "title": "Sorting", "enum": [ "rank", "new", "update", "units_desc", "units_asc", "price_desc", "price_asc", "time", "size_desc", "size_asc", "rate_desc", "rate_asc", "suites_desc", "suites_asc" ], "type": "string", "description": "" }, "home_types": { "title": "Property Types", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Multifamily", "Student Housing", "Single Family Rental Portfolio", "RV Park", "Apartment Building", "Retail", "Bank", "Convenience Store", "Day Care/Nursery", "QSR/Fast Food", "Gas Station", "Grocery Store", "Pharmacy/Drug", "Restaurant", "Bar", "Storefront", "Shopping Center", "Auto Shop", "Office", "Traditional Office", "Executive Office", "Medical Office", "Creative Office", "Industrial", "Distribution", "Flex", "Warehouse", "R&D", "Manufacturing", "Refrigerated/Cold Storage", "Mixed Use", "Hospitality", "Hotel", "Motel", "Casino", "Land", "Agricultural", "Residential", "Commercial", "Industrial Land", "Islands", "Farm", "Ranch", "Timber", "Hunting/Recreational", "Special Purpose", "Telecom/Data Center", "Sports/Entertainment", "Marina", "Golf Course", "School", "Religious/Church", "Garage/Parking", "Car Wash", "Airport", "Note/Loan", "Self Storage", "Senior Living", "Mobile Home Park", "Business for Sale", "Business Only", "Business and Building" ], "enumTitles": [ "Multifamily", "-- Student Housing", "-- Single Family Rental Portfolio", "-- RV Park", "-- Apartment Building", "Retail", "-- Bank", "-- Convenience Store", "-- Day Care/Nursery", "-- QSR/Fast Food", "-- Gas Station", "-- Grocery Store", "-- Pharmacy/Drug", "-- Restaurant", "-- Bar", "-- Storefront", "-- Shopping Center", "-- Auto Shop", "Office", "-- Traditional Office", "-- Executive Office", "-- Medical Office", "-- Creative Office", "Industrial", "-- Distribution", "-- Flex", "-- Warehouse", "-- R&D", "-- Manufacturing", "-- Refrigerated/Cold Storage", "Mixed Use", "Hospitality", "-- Hotel", "-- Motel", "-- Casino", "Land", "-- Agricultural", "-- Residential", "-- Commercial", "-- Industrial", "-- Islands", "-- Farm", "-- Ranch", "-- Timber", "-- Hunting/Recreational", "Special Purpose", "-- Telecom/Data Center", "-- Sports/Entertainment", "-- Marina", "-- Golf Course", "-- School", "-- Religious/Church", "-- Garage/Parking", "-- Car Wash", "-- Airport", "Note/Loan", "Self Storage", "Senior Living", "Mobile Home Park", "Business for Sale", "-- Business Only", "-- Business and Building" ] } }, "home_status": { "title": "Listing Status", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Active Listings", "On-Market", "Auction", "Highest & Best", "Call For Offers", "Contract Pending", "Under Contract" ], "enumTitles": [ "Active Listings", "-- On-Market", "-- Auction", "-- Highest & Best", "-- Call For Offers", "Contract Pending", "Under Contract" ] } }, "min_price": { "title": "πŸ’² Price Range ($)", "type": "integer", "description": "" }, "max_price": { "title": "", "type": "integer", "description": "" }, "no_unpriced": { "title": "πŸ’² Exclude Unpriced", "type": "boolean", "description": "" }, "min_pps": { "title": "πŸ’² Price per SQFT", "type": "integer", "description": "" }, "max_pps": { "title": "", "type": "integer", "description": "" }, "min_cap": { "title": "Cap Rate (%)", "type": "integer", "description": "" }, "max_cap": { "title": "", "type": "integer", "description": "" }, "min_sqft": { "title": "Square Footage", "type": "integer", "description": "" }, "max_sqft": { "title": "", "type": "integer", "description": "" }, "min_acre": { "title": "Acreage", "type": "integer", "description": "" }, "max_acre": { "title": "", "type": "integer", "description": "" }, "tenants": { "title": "Tenant/Brand", "type": "array", "description": "", "items": { "type": "string", "enum": [ "24 Hour Fitness", "7-Eleven", "76 Gas", "AT&T", "Aarons Furniture", "Academy Sports + Outdoors", "Ace Hardware ", "Advanced Auto Parts", "Albertsons", "Aldi", "Amazon", "Apple Store", "Applebee's", "Arby's", "Arco Gas Station", "Aspen Dental", "AutoNation", "AutoZone", "BB&T Bank", "BP Gas Station", "Bank of America", "Bass Pro Shop", "Bed Bath & Beyond", "Best Buy", "Best Western", "Big Lots", "Big O Tires", "Bloomingdale's", "Bluewave Car Wash", "Bojangles", "Boston Market", "Buffalo Wild Wings", "Burger King", "Burlington Coat Factory", "CVS Pharmacy", "Caliber Collision", "Camping World", "Carvana", "Charles Schwab", "Chase Bank", "Checkers and Rally's", "Cheesecake Factory", "Chevron", "Chick-fil-A", "Chili's", "Chipotle", "Church's Chicken", "Chuze Fitness", "Circle K", "Citizens Bank", "Costco", "Cracker Barrel", "Credit Union", "Culver's", "DaVita", "Dairy Queen", "Del Taco", "Denny's", "Dick's Sporting Goods", "Dillard's", "Dollar General", "Dollar Store", "Dollar Tree", "Dominos Pizza", "Dunkin'", "Dutch Bros. Coffee", "El Pollo Loco", "Enterprise Rent-A-Car", "Express Oil", "Exxon Mobile", "Family Dollar", "FedEx", "Firestone", "Five Guys", "Food Lion", "Foot Locker", "Fresenius Kidney Care", "Golden Corral", "Good Neighbor Pharmacy", "Goodwill", "Goodyear Auto Service", "Harbor Freight", "Hardee's/Carl's Jr", "Heartland Dental", "Hilton Hotels", "Hobby Lobby", "Holiday Inn", "Home Depot", "Hooters", "IHOP", "IKEA", "In-N-Out Burger", "JCPenney", "Jack in the Box", "Jared", "Jiffy Lube", "KFC", "Keller Williams", "KinderCare Learning Center", "Kmart", "Kohl's", "Krispy Kreme", "Kroger", "LA Fitness", "Lifetime Fitness", "Little Caesars", "Long John Silver's", "Longhorn Steakhouse", "Lowe's", "Macy's", "Marriott Hotels", "Marshalls", "Mavis Discount Tires", "McDonald's", "Michaels ", "Mobil Gas Station", "Motel 6", "Neiman Marcus", "Nordstrom", "O'Reilly Auto Parts", "Office Depot", "Olive Garden", "Outback Steak House", "PNC Bank", "Panda Express", "Panera Bread", "Pep Boys", "PetSmart", "PetSuites", "Petco", "Pizza Hut", "Planet Fitness", "Popeyes", "Publix", "Qdoba", "Quality Inn", "QuikTrip", "Raising Cane's", "Red Lobster", "Red Robin", "Regions Bank", "Rite Aid", "Royal Farms", "Ruby Tuesday", "Safeway", "Saks Fifth Avenue", "Scooter's Coffee", "Sears", "Sephora", "Service King", "Sheetz", "Shell", "Sherwin-Williams", "Silver Dollar Pancake House", "Sleep Number", "Smart & Final", "Smoothie King", "Sonic", "Speedway", "Sprouts Market", "Staples", "Starbucks", "Stater Bros", "Steak 'n Shake", "Subway", "SunTrust Bank", "Super 8 Motel", "T-Mobile", "TD Bank", "TJ Maxx", "Taco Bell", "Taco Cabana", "Take 5 Oil Change", "Target", "Tesla", "Texas Roadhouse", "The Learning Experience", "Tire Kingdom", "Topgolf", "Tractor Supply", "Trader Joe's", "US Bank", "USPS", "Ulta", "United Rentals", "Valero", "Valvoline", "Verizon Wireless", "Vitamin Shoppe", "Walgreens", "Walmart", "Wawa", "Wells Fargo Bank", "Wendy's", "Whataburger", "White Castle", "Whole Foods", "Winn-Dixie", "Zaxby's" ] } }, "min_remain": { "title": "Remaining Term (years)", "type": "integer", "description": "" }, "max_remain": { "title": "", "type": "integer", "description": "" }, "agents": { "title": "πŸ§‘β€πŸ’Ό Borker/Agent", "type": "array", "description": "", "items": { "type": "string" } }, "brokershop": { "title": "πŸ§‘β€πŸ’Ό Brokerage Shop", "type": "string", "description": "" }, "tenancies": { "title": "Tenancy", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Vacant", "Single", "Multi" ] } }, "lease_types": { "title": "Lease Type", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Net", "NNN", "Absolute Net", "Modified", "Ground", "Gross" ] } }, "unit_type": { "title": "Unit Measurements", "enum": [ "Units", "Keys", "Beds", "Pads", "Pumps" ], "type": "string", "description": "" }, "min_value": { "title": "", "type": "integer", "description": "" }, "max_value": { "title": "", "type": "integer", "description": "" }, "tenant_credits": { "title": "Tenant Credit", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Credit Rated", "Corporate Guarantee", "Franchisee", "No Credit Rating" ] } }, "min_occupancy": { "title": "Occupancy (%)", "type": "integer", "description": "" }, "max_occupancy": { "title": "", "type": "integer", "description": "" }, "timeline": { "title": "Listing Timeline", "enum": [ "TwentyFourHours", "SevenDays", "TwoWeeks", "OneMonth", "ThreeMonths", "SixMonths", "TwelveMonths" ], "type": "string", "description": "πŸ’‘ Select one or input date range below" }, "min_timeline": { "title": "", "type": "string", "description": "" }, "max_timeline": { "title": "", "type": "string", "description": "" }, "classes": { "title": "Classes", "type": "array", "description": "", "items": { "type": "string", "enum": [ "A", "B", "C", "D" ] } }, "opportunity_zone": { "title": "Show opportunity zone properties only", "type": "boolean", "description": "" }, "broker_coop": { "title": "Broker/Agent Co-Op", "type": "boolean", "description": "" }, "owner_invest": { "title": "Owner/User", "type": "boolean", "description": "" }, "rate_type": { "title": "Rate", "enum": [ "monthly", "yearly" ], "type": "string", "description": "" }, "min_rate": { "title": "", "type": "integer", "description": "" }, "max_rate": { "title": "", "type": "integer", "description": "" }, "no_undisclosed_rate": { "title": "Exclude Undisclosed Rate", "type": "boolean", "description": "" }, "lease_tenancies": { "title": "Tenancy", "type": "array", "description": "", "items": { "type": "string", "enum": [ "Single", "Multiple" ] } }, "criteria": { "title": "Custom Filters", "type": "array", "description": "", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "min_noi": { "title": "NOI", "type": "integer", "description": "πŸ’‘ Net Operating Income (financials.netOperatingIncome)" }, "max_noi": { "title": "", "type": "integer", "description": "" }, "min_size": { "title": "Building Size", "type": "integer", "description": "πŸ’‘ propertyAttributes.buildingSqft" }, "max_size": { "title": "", "type": "integer", "description": "" }, "min_buildings": { "title": "Buildings", "type": "integer", "description": "πŸ’‘ propertyAttributes.buildingsCount" }, "max_buildings": { "title": "", "type": "integer", "description": "" }, "min_units": { "title": "Units", "type": "integer", "description": "πŸ’‘ propertyAttributes.unitsCount" }, "max_units": { "title": "", "type": "integer", "description": "" }, "min_beds": { "title": "Beds", "type": "integer", "description": "πŸ’‘ propertyAttributes.bedsCount" }, "max_beds": { "title": "", "type": "integer", "description": "" }, "min_stories": { "title": "Stories", "type": "integer", "description": "πŸ’‘ propertyAttributes.storiesCount" }, "max_stories": { "title": "", "type": "integer", "description": "" }, "min_keys": { "title": "Keys", "type": "integer", "description": "πŸ’‘ propertyAttributes.keysCount" }, "max_keys": { "title": "", "type": "integer", "description": "" }, "min_year": { "title": "Year Built", "type": "integer", "description": "πŸ’‘ constructionYear.built" }, "max_year": { "title": "", "type": "integer", "description": "" }, "min_dock_high_doors": { "title": "Dock High Doors", "type": "integer", "description": "πŸ’‘ propertyAttributes.dockHighDoorsCount" }, "max_dock_high_doors": { "title": "", "type": "integer", "description": "" }, "min_loading_docks": { "title": "Loading Docks", "type": "integer", "description": "πŸ’‘ propertyAttributes.loadingDocksCount" }, "max_loading_docks": { "title": "", "type": "integer", "description": "" }, "min_ceilling": { "title": "Ceilling Height", "type": "integer", "description": "πŸ’‘ propertyAttributes.ceilingHeightFt" }, "max_ceilling": { "title": "", "type": "integer", "description": "" }, "agent_types": { "title": "Asset Type", "enum": [ "Retail", "Multifamily", "Office", "Industrial", "Hospitality", "Mixed Use", "Land", "Self Storage", "Mobile Home Park", "Senior Living", "Special Purpose", "Note/Loan", "Residential", "Business for Sale" ], "type": "string", "description": "" }, "brokerage": { "title": "Brokerage", "type": "string", "description": "" }, "agent_name": { "title": "Agent Name", "type": "string", "description": "" }, "associations": { "title": "Associations", "type": "array", "description": "", "items": { "type": "string", "enum": [ "CCIM", "SIOR", "NAIOP", "REALTOR", "CREW", "CRRP", "MAI", "ICSC", "ULI" ] } }, "min_sold": { "title": "Listing Sold", "type": "integer", "description": "" }, "max_sold": { "title": "", "type": "integer", "description": "" }, "dev_proxy_config": { "title": "🌐 PROXY NETWORKING", "type": "object", "description": "πŸ’‘ Supported protocol:

HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port

Example: socks5://example.com:9000" }, "dev_custom_headers": { "title": "πŸ“œ HTTP HEADERS", "type": "array", "description": "πŸ’‘ Additional HTTP Headers", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_custom_cookies": { "title": "🍰 HTTP COOKIES", "type": "array", "description": "πŸ’‘ Additional HTTP Cookies", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_transform_fields": { "title": "♻️ CUSTOM FIELD", "type": "array", "description": "πŸ’‘ Transform the resulting output. Select only needed fields.

For nested object use DOT. For example: 
address.streetAddress

For nested array use NUMBER (index of array element starting from index=0). For example: 
images.0.url
", "items": { "type": "object", "required": [ "key", "value" ], "properties": { "key": { "type": "string", "title": "Key" }, "value": { "type": "string", "title": "Value" } } } }, "dev_dataset_name": { "title": "πŸ“ CUSTOM STORAGE", "type": "string", "description": "πŸ’‘ Save results into custom named Dataset, use mask to customize dataset name

{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)

This masks can be used to autogenerate Dataset Name.

example: data-{DATE}
Depending on today date the dataset name will be: data-20230603

default: data-{ACTOR}-{DATE}-{TIME}" }, "dev_dataset_clear": { "title": "Clear Storage", "type": "boolean", "description": "Clear Dataset before insert/update." }, "dev_no_strip": { "title": "Disable data cleansing", "type": "boolean", "description": "πŸ’‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)" } } }, "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 } } } } } } } } } } ```