# Benchmarkrealtytn Url Scraper (`getdataforme/benchmarkrealtytn-url-scraper`) Actor Extract comprehensive real estate data from Benchmark Realty TN listings with ease. This Apify Actor scrapes detailed property info, including prices, features, photos, and agent details, delivering structured JSON output.... - **URL**: https://apify.com/getdataforme/benchmarkrealtytn-url-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Real estate, Automation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ## Benchmarkrealtytn Url Scraper The Benchmarkrealtytn Url Scraper is a powerful Apify Actor designed to extract comprehensive real estate listing data from Benchmark Realty TN property pages. It efficiently scrapes key details such as pricing, property features, photos, and agent information, enabling users to gather structured data for analysis, research, or integration into other systems. This tool streamlines the process of collecting real estate insights, saving time and effort compared to manual browsing. ### Features - **Comprehensive Data Extraction**: Captures detailed property information including MLS numbers, addresses, prices, bedrooms, bathrooms, square footage, and more. - **High-Quality Parsing**: Utilizes CheerioCrawler for reliable HTML parsing, ensuring accurate data extraction from dynamic web pages. - **Photo Collection**: Automatically retrieves all associated property images for complete visual data. - **Structured JSON Output**: Delivers clean, machine-readable data in JSON format, ready for export or further processing. - **Scalable and Efficient**: Handles multiple URLs concurrently, with built-in error handling for robust performance. - **Customizable Inputs**: Supports an array of start URLs, allowing targeted scraping of specific listings. - **Real-Time Scraping**: Provides up-to-date information by scraping live pages, including timestamps for data freshness. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-----------------------------------------------------------------------------|---------| | startUrls | array | Yes | An array of URLs pointing to Benchmark Realty TN property listing pages to scrape. Each URL should be a valid property page. | `[{"url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/"}]` | ### Example Usage To run the Actor, provide the input in JSON format: ```json { "startUrls": [ { "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/" } ] } ``` Example output: ```json [ { "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/", "mlsNumber": "2968383", "title": "229 Hawthorn Loop, Crossville, TN 38555 | 2968383 | Benchmark Realty, LLC", "address": "229 Hawthorn Loop, Crossville, TN 38555", "price": "$500,000", "propertyType": "Single Family ResidenceInterior FeaturesInteriorFireplace: YesFireplaces Total: 1BasementBasement: Crawl SpaceExterior FeaturesExterior FeaturesLot Description: [\"Level\"]Utilities and AppliancesAmenitiesParking Spaces: 2CommunityCommunity InformationAddress: 229 Hawthorn LoopSubdivision: The Gardens Ph IvTown: CrossvilleCounty: Cumberland County, TNState: TNZip: 38555SCHOOL INFORMATIONElementary School: Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "status": "Active", "bedrooms": 2, "bathrooms": 2, "fullBathrooms": 2, "squareFeet": 2043, "lotSize": "[\"Level\"]Utilities and AppliancesAmenitiesParking Spaces: 2CommunityCommunity InformationAddress: 229 Hawthorn LoopSubdivision: The Gardens Ph IvTown: CrossvilleCounty: Cumberland County, TNState: TNZip: 38555SCHOOL INFORMATIONElementary School: Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "yearBuilt": 1997, "listingDate": "01/12/2026", "description": null, "parking": { "spaces": 2, "type": null, "garage": null, "rvGarage": "62 ft 6 in long, 14 ft wide, 12 ft 8 in garage door height" }, "community": { "name": "The Gardens Ph IvTown: CrossvilleCounty: Cumberland County, TNState: TNZip: 38555SCHOOL INFORMATIONElementary School: Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "subdivision": "The Gardens Ph IvTown: CrossvilleCounty: Cumberland County, TNState: TNZip: 38555SCHOOL INFORMATIONElementary School: Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "amenities": [ "rv community" ] }, "exteriorAndLot": [ "Level", "Level" ], "utilitiesAndAppliances": [], "schools": { "elementary": "Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "high": "Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{" }, "fireplace": "Yes", "basement": "Crawl SpaceExterior FeaturesExterior FeaturesLot Description: [\"Level\"]Utilities and AppliancesAmenitiesParking Spaces: 2CommunityCommunity InformationAddress: 229 Hawthorn LoopSubdivision: The Gardens Ph IvTown: CrossvilleCounty: Cumberland County, TNState: TNZip: 38555SCHOOL INFORMATIONElementary School: Pleasant Hill ElementaryHigh School: Cumberland County High SchoolOther DetailsWaterWater Access: PublicADDITIONAL INFORMATIONDate Listed: 01/12/2026Map Location #panorama{", "agent": "Crye-Leike Brown Realty", "office": "Benchmark Realty, LLC", "photos": [ "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-1.jpg?v=1768430072", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-1-thumb.jpg?v=1768430073", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-2-thumb.jpg?v=1768430073", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-3-thumb.jpg?v=1768430073", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-4-thumb.jpg?v=1768430073", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-5-thumb.jpg?v=1768430074", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-6-thumb.jpg?v=1768430074", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-7-thumb.jpg?v=1768430074", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-8-thumb.jpg?v=1768430075", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-9-thumb.jpg?v=1768430075", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-10-thumb.jpg?v=1768430075", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-11-thumb.jpg?v=1768430076", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-12-thumb.jpg?v=1768430076", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-13-thumb.jpg?v=1768430076", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-14-thumb.jpg?v=1768430076", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-15-thumb.jpg?v=1768430077", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-16-thumb.jpg?v=1768430077", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-17-thumb.jpg?v=1768430077", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-18-thumb.jpg?v=1768430078", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-19-thumb.jpg?v=1768430078", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-20-thumb.jpg?v=1768430078", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-21-thumb.jpg?v=1768430078", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-22-thumb.jpg?v=1768430079", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-23-thumb.jpg?v=1768430079", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-24-thumb.jpg?v=1768430079", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-25-thumb.jpg?v=1768430079", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-26-thumb.jpg?v=1768430080", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-27-thumb.jpg?v=1768430080", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-28-thumb.jpg?v=1768430080", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-29-thumb.jpg?v=1768430080", "https://usm-feed-tn-realtracs.s3.amazonaws.com/1e57fe55cfdd001e1ed51875ac528c05-30-thumb.jpg?v=1768430081" ], "scrapedAt": "2026-02-10T07:48:24.462Z" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on property prices, features, and trends in specific areas for investment decisions. - **Competitive Intelligence**: Monitor competitor listings and pricing strategies from Benchmark Realty TN. - **Price Monitoring**: Track changes in property values over time for appraisal or resale purposes. - **Content Aggregation**: Collect property details and images for real estate blogs, newsletters, or databases. - **Academic Research**: Analyze housing data for studies on demographics, economics, or urban planning. - **Business Automation**: Integrate scraped data into CRM systems or automated reporting tools for real estate agencies. ### Installation and Usage 1. Search for "Benchmarkrealtytn Url Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs a JSON array of objects, each representing a scraped property listing. Key fields include: - `url`: The source URL of the listing. - `mlsNumber`: Unique MLS identifier. - `title`, `address`, `price`: Basic listing details. - `bedrooms`, `bathrooms`, `squareFeet`: Property specifications. - `photos`: Array of image URLs. - `scrapedAt`: Timestamp of scraping. - Nested objects for `parking`, `community`, `schools`, etc., provide additional structured data. Note that some fields may contain concatenated or raw text from the page if parsing encounters variations. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Extract comprehensive real estate data from Benchmark Realty TN listings effortlessly. Features include detailed property info, photo collection, and structured JSON output for seamless integration. Ideal for market research, price monitoring, and competitive analysis. Try it now to streamline your real estate data needs! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/" } ] } ``` # 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 = { "startUrls": [ { "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/benchmarkrealtytn-url-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 = { "startUrls": [{ "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/benchmarkrealtytn-url-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://benchmarkrealtytn.com/listing/2968383/229-hawthorn-loop-crossville-tn-38555/" } ] }' | apify call getdataforme/benchmarkrealtytn-url-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/benchmarkrealtytn-url-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/behjUo8dcuhS50kcQ/builds/wkaesBTImAkqvtXao/openapi.json