# HouseSigma Agents Scraper - Low-costπŸ’²πŸ”₯πŸ‡¨πŸ‡¦πŸ‘¨β€πŸ’Ό (`delectable_incubator/housesigma-agents-scraper-low-cost`) Actor Scrape HouseSigma real estate agent profiles πŸ‡¨πŸ‡¦πŸ‘ with a powerful agent data scraper. Extract agent names, designations, provinces, profile URLs, photos, languages, homes sold, top markets, and more. Ideal for lead generation, real estate research & property intelligence datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/housesigma-agents-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Lead generation, Agents, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

HouseSigma Agents Scraper

--- ## πŸ‘πŸ‘¨β€πŸ’Ό HouseSigma Agents Scraper πŸ‡¨πŸ‡¦ | Bulk Real Estate Agent Scraper Canada | Apify Actor ### πŸš€ Extract HouseSigma Real Estate Agent Data in Seconds (No Code) The **HouseSigma Agents Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized Canadian real estate agent scraping tool** designed to extract agent profiles, contact information, brokerage details, ratings, sales performance data, and profile URLs directly from HouseSigma. Perfect for **real estate lead generation, brokerage intelligence, market research, CRM enrichment, AI datasets, recruiting, and property industry analytics**. --- ### πŸ”₯ Why This HouseSigma Agents Scraper? βœ” Best HouseSigma agent scraper on Apify βœ” Supports **bulk URL scraping (multi-agent extraction)** βœ” Fast & scalable data extraction βœ” 100% structured JSON / CSV / Excel output βœ” Ideal for Canadian real estate market intelligence βœ” Perfect for brokers, investors, agencies & data analysts βœ” No coding required --- ### 🎯 What This Scraper Does (HouseSigma Agent Data Extraction) This Apify Actor extracts detailed information from HouseSigma agent profile pages. #### πŸ“Œ Core Features βœ… Scrape HouseSigma agent profiles βœ… Bulk URL agent scraping (SEO BOOST πŸš€) βœ… Extract agent names & brokerage details βœ… Extract ratings & review information βœ… Extract sales performance data βœ… Extract profile images βœ… Extract agent profile URLs βœ… Extract contact information when available βœ… Clean structured dataset output βœ… High-speed extraction engine --- ### ⚑ Input Configuration (Simple & Powerful) #### πŸ”₯ BULK URL MODE (SEO BOOST πŸš€) ```` { "urls": \[ "https://housesigma.com/agent-profile-1", "https://housesigma.com/agent-profile-2", "https://housesigma.com/agent-profile-3" ] } ``` --- ### πŸ“Š Extracted Agent Data (Structured Output) | Field | Description | | ------------ | ------------------------------ | | agentName | Agent full name | | brokerage | Brokerage name | | rating | Agent rating | | reviewCount | Number of reviews | | phone | Contact phone | | email | Contact email (when available) | | location | Service area | | profileImage | Agent photo | | profileUrl | Agent profile URL | | salesStats | Sales performance data | | badges | Awards & badges | | bio | Agent biography | --- ### πŸ’‘ Use Cases (High Demand SEO Keywords) This HouseSigma scraper is used for: 🏑 Real estate agent lead generation πŸ“Š Canadian housing market analysis 🎯 Brokerage recruitment intelligence πŸ“ˆ Real estate CRM enrichment πŸ€– AI training datasets (real estate data) 🏒 Agent performance monitoring πŸ“‘ Property industry analytics ⚑ Bulk agent data extraction --- ### πŸš€ Key Features (Apify SEO Optimized) ⚑ Bulk URL scraping support πŸ‡¨πŸ‡¦ Canada real estate market coverage πŸ“Œ Smart extraction engine 🧠 Clean structured output πŸ“Š High-speed scraping system πŸ” Auto retry & stability system πŸ’Ύ Export-ready datasets βš™οΈ Scalable cloud execution (Apify Actor) --- ### πŸ“€ Output Formats Supported βœ” JSON (structured API ready) βœ” CSV (Excel analysis) βœ” Excel XLSX (business reports) βœ” XML (data pipelines) βœ” HTML (dashboards) --- ### πŸ“¦ Example Output ``` { "agentName": "John Smith", "brokerage": "RE/MAX Real Estate", "rating": 4.9, "reviewCount": 128, "phone": "+1-416-555-1234", "email": "john@example.com", "location": "Toronto, Ontario", "profileImage": "https://...", "profileUrl": "https://housesigma.com/...", "salesStats": { "transactions": 156, "averagePrice": "$1,250,000" }, "badges": \[ "Top Producer", "Award Winner" ], "bio": "Experienced real estate professional serving the GTA." } ```` --- ### πŸ”₯ Why This is the BEST HouseSigma Agents Scraper on Apify? βœ” Optimized for Apify search ranking βœ” High-performance scraping engine βœ” Bulk URL support (rare feature) βœ” Clean structured dataset output βœ” Enterprise-ready scalability βœ” Perfect for SEO traffic & marketplace visibility --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $2.98 / 1,000 results --- ### ❓ FAQ (SEO BOOST SECTION) #### Can I scrape multiple agent profiles at once? Yes β€” bulk URL mode is fully supported. #### Is this scraper fast? Yes β€” optimized for high-speed extraction. #### Can I use it for Canadian real estate data? Yes β€” fully focused on the Canadian housing market. #### Is coding required? No β€” 100% no-code Apify Actor. #### Can I export data? Yes β€” JSON, CSV, Excel, XML and HTML are supported. --- ### ⚠️ Disclaimer This tool is not affiliated with HouseSigma. It is an independent data extraction solution. --- ### πŸ”— Related Actors (Real Estate Intelligence Ecosystem) We are building a full **PrimeScrape Real Estate Intelligence Suite**: πŸ‘‰ Coming Soon πŸš€ --- ### 🌍 PrimeScrape Ecosystem Built for **data scraping, automation, AI training datasets, lead generation, and market intelligence at scale**. 🏑 Real estate data extraction πŸ‘¨β€πŸ’Ό Agent intelligence 🏒 Brokerage intelligence πŸ“ˆ Market analytics πŸ€– AI datasets βš™οΈ Automation pipelines --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you like this scraper πŸ“© Contact us for custom scraping solutions, enterprise requests, and large-scale data projects. # Actor input Schema ## `urls` (type: `array`): List of housesigma.com /agents/ URLs to scrape. Examples: β€’ https://housesigma.com/on/agents/ β€’ https://housesigma.com/bc/agents/ β€’ https://housesigma.com/ab/agents/ ⚠️ URLs must be from housesigma.com. ## `maxitems` (type: `integer`): Maximum number of agents to collect per URL. The . ## `fetchDetails` (type: `boolean`): Enable to visit each agent's profile page and extract additional fields: β€’ About (bio) β€’ Languages β€’ Homes sold β€’ Active listings β€’ Homes toured β€’ Top cities (by transactions) β€’ Property type distribution ⚠️ This significantly slows down scraping (1 page load per agent). ## Actor input object example ```json { "urls": [ "https://housesigma.com/on/agents/", "https://housesigma.com/bc/agents/" ], "maxitems": 20, "fetchDetails": false } ```` # Actor output Schema ## `overview` (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 = { "urls": [ "https://housesigma.com/on/agents/", "https://housesigma.com/bc/agents/" ], "maxitems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/housesigma-agents-scraper-low-cost").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 = { "urls": [ "https://housesigma.com/on/agents/", "https://housesigma.com/bc/agents/", ], "maxitems": 20, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/housesigma-agents-scraper-low-cost").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 '{ "urls": [ "https://housesigma.com/on/agents/", "https://housesigma.com/bc/agents/" ], "maxitems": 20 }' | apify call delectable_incubator/housesigma-agents-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/housesigma-agents-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "HouseSigma Agents Scraper - Low-costπŸ’²πŸ”₯πŸ‡¨πŸ‡¦πŸ‘¨β€πŸ’Ό", "description": "Scrape HouseSigma real estate agent profiles πŸ‡¨πŸ‡¦πŸ‘ with a powerful agent data scraper. Extract agent names, designations, provinces, profile URLs, photos, languages, homes sold, top markets, and more. Ideal for lead generation, real estate research & property intelligence datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "PjLNNmKiBSefQRNsx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~housesigma-agents-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-housesigma-agents-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~housesigma-agents-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-housesigma-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~housesigma-agents-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-housesigma-agents-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls", "maxitems" ], "properties": { "urls": { "title": "HouseSigma Agents URLs 🏠", "type": "array", "description": "List of housesigma.com /agents/ URLs to scrape.\n\nExamples:\nβ€’ https://housesigma.com/on/agents/\nβ€’ https://housesigma.com/bc/agents/\nβ€’ https://housesigma.com/ab/agents/\n\n⚠️ URLs must be from housesigma.com.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum agents per URL πŸ“„", "type": "integer", "description": "Maximum number of agents to collect per URL.\n\nThe .", "default": 20 }, "fetchDetails": { "title": "Fetch agent details πŸ”Ž", "type": "boolean", "description": "Enable to visit each agent's profile page and extract additional fields:\n\nβ€’ About (bio)\nβ€’ Languages\nβ€’ Homes sold\nβ€’ Active listings\nβ€’ Homes toured\nβ€’ Top cities (by transactions)\nβ€’ Property type distribution\n\n⚠️ This significantly slows down scraping (1 page load per agent).", "default": 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 } } } } } } } } } } ```