You can access the LoopNet Search By Urls & Keywords | Details | Agents | Contacts programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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        "properties": {
          "startUrls": {
            "title": "Start URLs (US, UK, Realla — all in one actor)",
            "type": "array",
            "description": "Mix any combination of: (a) US listing URLs (`/search/.../usa/for-sale/`), (b) US Listing detail URLs (`/Listing/{slug}/{id}/`), (c) US property records (`/property/{slug}/{parcel-id}/`), (d) businesses-for-sale, (e) US broker directory pages, (f) **UK listing URLs** (`/search/commercial-property/{city}--united-kingdom/...`), (g) UK detail listing URLs, (h) UK sub-category URLs (office / retail / industrial / land / coworking). `realla.co.uk` and `loopnet.co.uk` paths point at the same CoStar dataset since the 2018 Realla acquisition; use the loopnet.com URLs (where the listing JSON actually lives) for best results.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "addresses": {
            "title": "Addresses to search",
            "type": "array",
            "description": "Addresses to scrape - should be in format 123 Main St, City, State",
            "items": {
              "type": "string"
            }
          },
          "searchQuery": {
            "title": "Free-text search query",
            "type": "string",
            "description": "Free-text search, e.g. 'office space Canary Wharf London' or 'retail space Austin Texas'. The actor infers the property type and location, then searches LoopNet. Use this when you don't have a specific LoopNet search URL or address."
          },
          "moreResults": {
            "title": "Scrape all possible results (bypass limit of 500 items/listings)",
            "type": "boolean",
            "description": "Enable this option to retrieve the maximum number of results possible. Note that LoopNet limits results to 500 per search.",
            "default": false
          },
          "includeListingDetails": {
            "title": "Include listing details as well",
            "type": "boolean",
            "description": "Set to true if you want to include listing details of each search result.",
            "default": false
          },
          "includePortfolioProperties": {
            "title": "Include individual properties from portfolio listings",
            "type": "boolean",
            "description": "When a LoopNet listing is a portfolio (multiple properties bundled under one URL), enable this to scrape each individual property as its own dataset record. Each child carries isPortfolioMember, parentPortfolioUrl, and parentPortfolioId.",
            "default": false
          },
          "maxItems": {
            "title": "Max Listings/Items per start URL",
            "type": "integer",
            "description": "Maximum listings or items collected per start URL (each entry in startUrls). With multiple URLs, the run can produce up to this many items per URL (for example, 10 × 3 URLs → up to 30 total). If not defined, all items will be scraped.",
            "default": 10000
          },
          "maxConcurrency": {
            "title": "Max Concurrency",
            "type": "integer",
            "description": "Maximum number of pages that can be processed at the same time. Values below 20 are raised to 20 at runtime.",
            "default": 20
          },
          "minConcurrency": {
            "title": "Min Concurrency",
            "type": "integer",
            "description": "Minimum number of pages that will be processed at the same time.",
            "default": 1
          },
          "maxRequestRetries": {
            "title": "Max Request Retries",
            "type": "integer",
            "description": "Number of times the crawler will retry a failed request before giving up. Default 8 — gives Akamai-blocked sessions enough chances to retire and get a fresh residential IP from the proxy gateway, without burning cost on truly broken requests (100 was the old default and was wasteful).",
            "default": 8
          },
          "PriceMin": {
            "title": "Min Price",
            "type": "integer",
            "description": "Minimum price to scrape."
          },
          "PriceMax": {
            "title": "Max Price",
            "type": "integer",
            "description": "Maximum price to scrape."
          },
          "BuildingSizeRangeMin": {
            "title": "Min Building Size",
            "type": "integer",
            "description": "Minimum building size to scrape."
          },
          "BuildingSizeRangeMax": {
            "title": "Max Building Size",
            "type": "integer",
            "description": "Maximum building size to scrape."
          },
          "PriceRangeRateType": {
            "title": "Price Range Rate Type",
            "enum": [
              "none",
              "Total",
              "BuildingSquareFootage",
              "LotAcreage",
              "Units"
            ],
            "type": "string",
            "description": "Price range rate type to scrape."
          },
          "CondosFilter": {
            "title": "Condos Filter",
            "enum": [
              "0",
              "1",
              "2"
            ],
            "type": "string",
            "description": "Condos filter to scrape.",
            "default": "0"
          },
          "DateIndicator": {
            "title": "Date Entered",
            "enum": [
              "0",
              "1",
              "2",
              "3",
              "4",
              "5",
              "6",
              "7"
            ],
            "type": "string",
            "description": "Date entered to scrape.",
            "default": "0"
          },
          "listedInLastDays": {
            "title": "Listed in last N days",
            "minimum": 0,
            "type": "integer",
            "description": "Only return listings listed or updated within the last N days (e.g. 2 = last 2 days). 0 or empty = all dates. This is the clear way to filter by recency and takes precedence over the legacy 'Date Entered' (DateIndicator) select. Combine freely with property type, location, and price filters."
          },
          "firebaseAppCheckToken": {
            "title": "Firebase App Check token (advanced)",
            "type": "string",
            "description": "LoopNet's mobile API now requires a Firebase App Check token (X-Firebase-AppCheck). It is issued by the iOS app via Apple App Attest and EXPIRES ~60 minutes after capture, so it must be supplied fresh. Leave blank if your account auto-refreshes it into the shared 'loopnet-appcheck' key-value store. Without a valid token the source API returns 403."
          },
          "maxUnblockerRequests": {
            "title": "Max unblocker requests (cost cap)",
            "minimum": 0,
            "type": "integer",
            "description": "When the mobile API is blocked (no/expired App Check token), the actor falls back to scraping the website via a paid unblocker. This caps how many such requests one run may make, so a token outage can't run up a surprise bill. Default 60."
          },
          "freeBrowserSearch": {
            "title": "Search resilience (internal)",
            "type": "boolean",
            "description": "Internal fallback for the search step; off by default. Not user-configurable.",
            "default": false
          },
          "State": {
            "title": "State",
            "enum": [
              "none",
              "Al",
              "Ak",
              "Az",
              "Ar",
              "Ca",
              "Co",
              "Ct",
              "De",
              "Fl",
              "Ga",
              "Hi",
              "Id",
              "Il",
              "In",
              "Ia",
              "Ks",
              "Ky",
              "La",
              "Me",
              "Md",
              "Ma",
              "Mi",
              "Mn",
              "Ms",
              "Mo",
              "Mt",
              "Ne",
              "Nv",
              "Nh",
              "Nj",
              "Nm",
              "Ny",
              "Nc",
              "Nd",
              "Oh",
              "Ok",
              "Or",
              "Pa",
              "Ri",
              "Sc",
              "Sd",
              "Tn",
              "Tx",
              "Ut",
              "Vt",
              "Va",
              "Wa",
              "Wv",
              "Wi",
              "Wy"
            ],
            "type": "string",
            "description": "Select your state",
            "default": "none"
          },
          "City": {
            "title": "City",
            "type": "string",
            "description": "Enter City to scrape."
          },
          "monitoringMode": {
            "title": "Run in monitoring mode where only newly listings compared to previous runs will be scraped",
            "type": "boolean",
            "description": "Enable this option to retrieve the maximum number of results possible. Note that LoopNet limits results to 500 per search.",
            "default": false
          },
          "enablePriceMonitoring": {
            "title": "Enable price monitoring",
            "type": "boolean",
            "description": "If checked, it will only scrape newly listings compared to what has been scraped in previous runs.",
            "default": false
          },
          "transactionTrackingMode": {
            "title": "Track listings that have closed since the last run",
            "type": "boolean",
            "description": "When enabled, the dataset emits ONLY the closed listings (not the full inventory). Each output item includes the original listing details plus closeStatus (removed / pending / under_contract / sold / leased), closeDetectedAt, firstSeenAt, lastSeenAt, and previousPrice. The snapshot is auto-keyed by a hash of the input (search URLs / filters), so the same scheduled input always finds its prior snapshot.",
            "default": false
          },
          "downloadImages": {
            "title": "Download images (Images will be stored inside Key-Value Store)",
            "type": "boolean",
            "description": "Set to true if you want to download images to Apify's Key-Value Store so you can download them to your computer",
            "default": false
          },
          "maxImages": {
            "title": "Max images per listing (Only applicable if 'Download images' is enabled)",
            "type": "integer",
            "description": "Maximum number of images to download per listing.",
            "default": 10
          },
          "storeName": {
            "title": "Name your storage for images where to store them (this is optional)",
            "pattern": "^[a-z0-9]+(-[a-z0-9]+)*$",
            "type": "string",
            "description": "Rule for naming: it can only contain letters 'a' through 'z', the digits '0' through '9', and the hyphen ('-') but only in the middle of the string (e.g. 'my-value-1')\n Assign a custom name to the Key-Value Store where your scraped listings will be saved. This ensures:\n 1. **Persistent Storage**: Enables long-term retention of listings, beyond default storage limits.\n 3. **Project Management**: Separate datasets by using unique names for different projects or analyses.\n 4. **Data Reuse**: Easily reference and reuse stored data without overwriting.\n (If left blank, the default storage will be used with standard retention limits.)"
          },
          "cookies": {
            "title": "Cookies",
            "type": "array",
            "description": "<p>Cookie used to authorize actor with crexi.com. Install <a rel=\"noopener noreferrer nofollow\" target=\"_blank\" href=\"https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg\" previewlistener=\"true\">EditThisCookie</a> chrome extension. Login to your crexi.com account. Click on the extension and export the crexi.com cookies. Insert the contents here</p>"
          },
          "proxy": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.<br><br>For details, see <a href='https://apify.com/apify/web-scraper#proxy-configuration' target='_blank' rel='noopener'>Proxy configuration</a> in README.",
            "default": {
              "useApifyProxy": true,
              "apifyProxyGroups": [
                "RESIDENTIAL"
              ]
            }
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        }
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        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
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              "userId": {
                "type": "string"
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              "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
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                }
              },
              "buildId": {
                "type": "string"
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              "defaultKeyValueStoreId": {
                "type": "string"
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              "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
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                  "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
                  }
                }
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            }
          }
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      }
    }
  }
}

LoopNet Search By Urls & Keywords | Details | Agents | Contacts 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 LoopNet Search By Urls & Keywords | Details | Agents | Contacts from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LoopNet Search By Urls & Keywords | Details | Agents | Contacts API in Python

LoopNet Search By Urls & Keywords | Details | Agents | Contacts API in JavaScript

LoopNet Search By Urls & Keywords | Details | Agents | Contacts API through CLI

LoopNet Search By Urls & Keywords | Details | Agents | Contacts API

Loopnet Scraper

getdataforme/loopnet-scraper

The Loopnet Scraper Apify Actor automates extraction of detailed commercial real estate data from Loopnet listings, including prices, addresses, and specs....

GetDataForMe

161

1.0

LoopNet Scraper

hotels-scrapers/loopnet-scraper

Scrape LoopNet commercial real estate listings at scale. Extracts asking price, cap rate, NOI, square footage, property type, broker name and contact, full address and geocoordinates, listing description, and all photos. Accepts search URLs or individual listing URLs. Exports to JSON, CSV, Excel.

Hotels Scraper

5.0

LoopNet.com Commercial Real Estate Scraper

crawlerbros/loopnet-scraper

Scrape commercial real estate listings, broker profiles, and businesses for sale from LoopNet.com. Extracts title, price, address, property type, size, broker info.

Crawler Bros

121

LoopNet US + UK + Realla [$1.5💰] Commercial Property Scraper

memo23/loopnet-scraper-ppe

💰 $1.50 per 1,000 results, scrape commercial property from LoopNet (US) AND LoopNet UK / Realla (UK) in one actor — the only Apify scraper bundling both. Lease & sale listings across all US states + every UK city. Rich rows: address, geo, sqft, asking rent/price, broker, EPC. $1.50/1k.

Muhamed Didovic

341

5.0

LoopNet Business Listings Scraper

parseforge/loopnet-scraper

Extract comprehensive business listing data from LoopNet.com including financials, contact details, and specifications. Perfect for business brokers, investors, and market researchers.

ParseForge

5.0

Crexi.com | intelligence | Search | Detail | Agent (/w EMAILS)

memo23/apify-crexi

Unlock Crexi's commercial real estate network. Extract property listings and broker profiles for market insights, deal-making, and investment opportunities. Your key to data-driven decisions in commercial real estate

Muhamed Didovic

462

5.0

LoopNet + Crexi Scraper · CRE Listings · CoStar Alternative

kazkn/commercial-real-estate-brokerage-intel

LoopNet + Crexi scraper for CRE listings. Normalizes cap rates, deduplicates cross-platform, and returns broker names/companies plus phone/email when public. Days-on-market included when source-available. $5 per 1K results.

KazKN

106

Loopnet Listings Scraper

piotrv1001/loopnet-listings-scraper

The LoopNet Listings Scraper enables fast and efficient data extraction from LoopNet search URLs. It gathers key property details, including price, listing agent, location, images, and URLs. Ideal for real estate investors, market analysts, and commercial property researchers.

FalconScrape

249

1.0

Building Permits Scraper — Construction Leads

4l3c/building-permits-scraper

Fresh building permit data from 11 verified city & county open-data APIs: Chicago, NYC, LA, Austin, SF, Seattle, Miami, Miami-Dade, Maricopa, New Orleans, Philadelphia. Roofing, solar, HVAC & remodeling leads with contractor and valuation data. Reliable government sources, no proxies, no breakage.

Alec

$1.5/1K 🔥 Rumble Scraper PRO (Videos, Channels & Search)

azzouzana/rumble-all-inclusive-scraper

🚀 Extract videos information (revenue included), channels (socials, stats, emails..), playlists details & top search results from Rumble using our fast scraper. Just provide channel, video, playlist or search URLs, and export data in JSON, CSV, or HTML. 🔥 Quick, easy, and ready to use!