Realtor Agent Scraper (All-in-one) ๐ก๐ง๐๐ค
Deprecated
Pricing
$24.99/month + usage
Go to Store
Realtor Agent Scraper (All-in-one) ๐ก๐ง๐๐ค
Deprecated
Unlock the power of Realtors with automated agent profile scraping (All-in-One) โ easily gather insights on real estate agents, teams, and companies ๐ธ๐ก๐. Customize advanced queries by spoken languages, filter agents by photos, credentials, more ๐. Perfect for real estate research and analysis!
0.0 (0)
Pricing
$24.99/month + usage
2
Total users
11
Monthly users
1
Last modified
a month ago
You can access the Realtor Agent Scraper (All-in-one) ๐ก๐ง๐๐ค programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "ZZ7SNrKB2FujS1Bjh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapestorm~realtor-agent-scraper-all-in-one/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapestorm-realtor-agent-scraper-all-in-one", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapestorm~realtor-agent-scraper-all-in-one/runs": { "post": { "operationId": "runs-sync-scrapestorm-realtor-agent-scraper-all-in-one", "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/scrapestorm~realtor-agent-scraper-all-in-one/run-sync": { "post": { "operationId": "run-sync-scrapestorm-realtor-agent-scraper-all-in-one", "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": [ "city" ], "properties": { "city": { "title": "City or zip code (โ ๏ธ Check if the city name matches those on the site)", "type": "string", "description": "The name of the location", "default": "Texas City, TX" }, "type_": { "title": "Choose a Type", "enum": [ "Real Estate Agent ๐ก", "Team ๐ ๏ธ", "Company ๐ข" ], "type": "string", "description": "The name of the Type", "default": "Real Estate Agent ๐ก" }, "photos": { "title": "Choose to show only agents with photos", "enum": [ "Yes โ
", "No โ" ], "type": "string", "description": "Choose to show only agents with photos", "default": "Yes โ
" }, "language": { "title": "Language you prefer", "type": "array", "description": "The spoken languages you prefer", "items": { "type": "string", "enum": [ "Any", "afrikaans", "albanian", "arabic", "armenian", "bengali", "bosnian", "bulgarian", "chinese", "croatian", "czech", "danish", "dutch", "farsi", "french", "german", "greek", "hindi", "indonesian", "italian", "japanese", "korean", "polish", "portuguese", "russian", "spanish", "swedish", "thai", "turkish", "ukrainian", "vietnamese" ] }, "default": [ "Any" ] }, "credentials": { "title": "Choose credentials", "type": "array", "description": "Credentials you prefer (โ ๏ธ If you don't understand the abbreviation in the credentials, check the Input Information section)", "items": { "type": "string", "enum": [ "Any", "abr", "ahwd", "alc", "bpor", "c2ex", "ccim", "cips", "cpm", "crb", "cre", "crets", "crs", "e-pro", "gaa", "grn", "gri", "hfr", "mrp", "pmn", "psa", "raa", "rene", "rsps", "sfr", "sior", "sres", "srs" ] }, "default": [ "Any" ] }, "page": { "title": "The Page Number to scrape. To get more 20 agents, increase the page number", "type": "integer", "description": "The page number of results you want to view", "default": 3 } } }, "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 } } } } } } } } }}Realtor Agent Scraper (All-in-one) ๐ก๐ง๐๐ค OpenAPI definition
OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Realtor Agent Scraper (All-in-one) ๐ก๐ง๐๐ค from the options below:
If youโd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients:
