# Auction.com Property Scraper (`one-api/auction-com-property-scraper`) Actor Scrape Auction.com (Ten-X) foreclosure, bank-owned (REO) and private-seller auction listings. Search by location, ZIP, coordinates, or URL, pull enriched property details with auction schedule, bids and comps, and browse the Real Estate Auction Calendar with per-event property lists. - **URL**: https://apify.com/one-api/auction-com-property-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/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 ## Auction.com Property Scraper Scrape **Auction.com (Ten-X)** — the largest US distressed-property marketplace. Foreclosure, bank-owned (REO) and private-seller auction listings, enriched property details, and the **Real Estate Auction Calendar** with per-event property lists. ### What it does - **Property Details** — auto-detects each input as a listing ID (digits) or `auction.com` URL; returns the enriched record (auction schedule, starting/current bid, reserve status, occupancy, estimated-value range, photos, foreclosure financials, sold comps when available). - **4 search modes** — by location name (city / county / state), ZIP, `lat,lng` coordinates, or Auction.com URL — or `nationwide` for no geo filter. Availability, buying type, property type, occupancy, price/beds/sqft and sort filters all apply. - **Auction Calendar** — one row per upcoming auction EVENT (live courthouse foreclosure sales + online REO auctions), filterable by state, date window and buying type. - **Event drill-down** — give an event code (`E-31309`) or venue ID: one event summary row (with all/available/removed property counts) plus one row per property in that event. - **Location autocomplete** and **lookups** (supported states, filter vocabularies, seller info). ### Output - **One flat dataset row per listing / event / suggestion** — sortable, filterable, CSV-exportable. - Columns: `Mode`, `ID`, `Event Code`, `Address`, `City`, `State`, `County`, `Zip`, `Property Type`, `Asset Type`, `Occupancy`, `Status`, `Beds`, `Baths`, `Sqft`, `Year Built`, `Starting Bid`, `Current Bid`, `Estimated Value`, `Auction Start`, `Auction End`, `Cover Photo`, `Listing URL`. - Full upstream JSON kept in the `Raw` column for power users. ### Inputs - Each section is independent — fill only the ones you need. - Multiple inputs per section: one per line. - The ⚙️ Filters section applies to every search and to event drill-down property lists; `Buying type` also scopes the calendar (Foreclosure → live courthouse events, REO → online auctions). ### Pricing - Pay per result: **$3 per 1,000 dataset items** — same rate on every Apify plan tier. - Apify start fee: $0.00005 per run. ### Notes - `Availability: Removed / Ended` switches to the closed bucket — useful for post-auction research. - Buying type, property type and price/beds/sqft filters are applied over the first 250 matches per page scanned upstream; totals note when that cap is hit. - A listing's `Starting Bid` falls back to the auction's published opening bid; `Current Bid` is the live highest bid (or winning bid on closed listings). ### Errors - Failures land in the dataset as rows with `Mode = "ERROR"` and the upstream error message in `Address` — nothing is silently dropped. # Actor input Schema ## `property_inputs` (type: `array`): Auto-detects each entry: digits → `/details/byid`, an auction.com URL → `/details/byurl`. Each row = one enriched record (auction schedule, bids, estimated-value range, photos, foreclosure financials, sold comps). ## `search_inputs` (type: `array`): Auto-detects each entry: city/county/state or ZIP → location search, `lat,lng` → coordinate search, an auction.com URL → URL search, `nationwide` → no geo filter. Filters below apply to every search. ## `autocomplete_inputs` (type: `array`): Free-text location lookups via `/autocomplete`. One row per suggested city / county / ZIP / address. ## `fetch_calendar` (type: `boolean`): Lists upcoming auction EVENTS (courthouse foreclosure sales + online REO auctions) via `/calendar`. One row per event, filtered by the date/state fields below. ## `calendar_state` (type: `string`): Two-letter state code to scope the calendar (e.g. `TX`). Empty = all states. ## `calendar_date_from` (type: `string`): `YYYY-MM-DD` lower bound. Empty = today (past events hidden). ## `calendar_date_to` (type: `string`): `YYYY-MM-DD` upper bound. Empty = ~120 days out. ## `event_inputs` (type: `array`): Drill into one auction event via `/calendar/event` (e.g. `E-31309` or a numeric venueId). Returns one event summary row plus one row per property in the event. ## `availability` (type: `string`): Active = live auctions; Removed = the closed/ended bucket. ## `buyingType` (type: `string`): Auction.com buying type. Also scopes the calendar (Foreclosure → live courthouse events, REO → online events). ## `propertyType` (type: `string`): Structure type to keep. ## `occupancy` (type: `string`): Occupancy at listing time — a key auction-property signal. ## `priceRange` (type: `string`): Format: `min:50000,max:400000` — or just `min:…` / `max:…`. ## `bedsRange` (type: `string`): Format: `min:2,max:4`. ## `sqftRange` (type: `string`): Format: `min:1000,max:2500`. ## `sort` (type: `string`): Order of search results. ## `limit` (type: `integer`): Max listings (or calendar events) returned per input. Upstream caps a page at 250. ## `pages` (type: `integer`): How many pages to fetch for each search input. ## `fetch_states` (type: `boolean`): One row per US state via `/states`. ## `fetch_enums` (type: `boolean`): One row per filter enum group via `/enums` (buying types, property types, sorts…). ## `fetch_sell` (type: `boolean`): One informational row on how selling works on auction.com via `/sell`. ## Actor input object example ```json { "property_inputs": [ "2093283", "https://www.auction.com/details/10118-ekukpe-dr-dallas-tx-2093283" ], "search_inputs": [ "Dallas, TX" ], "autocomplete_inputs": [], "fetch_calendar": false, "calendar_state": "", "calendar_date_from": "", "calendar_date_to": "", "event_inputs": [], "availability": "active", "buyingType": "", "propertyType": "", "occupancy": "", "priceRange": "", "bedsRange": "", "sqftRange": "", "sort": "auction_date", "limit": 50, "pages": 1, "fetch_states": false, "fetch_enums": false, "fetch_sell": false } ```` # 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 = { "property_inputs": [ "2093283", "https://www.auction.com/details/10118-ekukpe-dr-dallas-tx-2093283" ], "search_inputs": [ "Dallas, TX" ], "autocomplete_inputs": [], "event_inputs": [] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/auction-com-property-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 = { "property_inputs": [ "2093283", "https://www.auction.com/details/10118-ekukpe-dr-dallas-tx-2093283", ], "search_inputs": ["Dallas, TX"], "autocomplete_inputs": [], "event_inputs": [], } # Run the Actor and wait for it to finish run = client.actor("one-api/auction-com-property-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "property_inputs": [ "2093283", "https://www.auction.com/details/10118-ekukpe-dr-dallas-tx-2093283" ], "search_inputs": [ "Dallas, TX" ], "autocomplete_inputs": [], "event_inputs": [] }' | apify call one-api/auction-com-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/auction-com-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Auction.com Property Scraper", "description": "Scrape Auction.com (Ten-X) foreclosure, bank-owned (REO) and private-seller auction listings. Search by location, ZIP, coordinates, or URL, pull enriched property details with auction schedule, bids and comps, and browse the Real Estate Auction Calendar with per-event property lists.", "version": "1.0", "x-build-id": "5l1eikLlA32hsF1vI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~auction-com-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-auction-com-property-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one-api~auction-com-property-scraper/runs": { "post": { "operationId": "runs-sync-one-api-auction-com-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one-api~auction-com-property-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-auction-com-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "property_inputs": { "title": "Listing ID or Auction.com URL (one per line)", "type": "array", "description": "Auto-detects each entry: digits → `/details/byid`, an auction.com URL → `/details/byurl`. Each row = one enriched record (auction schedule, bids, estimated-value range, photos, foreclosure financials, sold comps).", "items": { "type": "string" } }, "search_inputs": { "title": "Search query (one per line)", "type": "array", "description": "Auto-detects each entry: city/county/state or ZIP → location search, `lat,lng` → coordinate search, an auction.com URL → URL search, `nationwide` → no geo filter. Filters below apply to every search.", "items": { "type": "string" } }, "autocomplete_inputs": { "title": "Autocomplete query (one per line)", "type": "array", "description": "Free-text location lookups via `/autocomplete`. One row per suggested city / county / ZIP / address.", "items": { "type": "string" } }, "fetch_calendar": { "title": "Fetch the auction calendar", "type": "boolean", "description": "Lists upcoming auction EVENTS (courthouse foreclosure sales + online REO auctions) via `/calendar`. One row per event, filtered by the date/state fields below.", "default": false }, "calendar_state": { "title": "Calendar: state", "type": "string", "description": "Two-letter state code to scope the calendar (e.g. `TX`). Empty = all states.", "default": "" }, "calendar_date_from": { "title": "Calendar: from date", "type": "string", "description": "`YYYY-MM-DD` lower bound. Empty = today (past events hidden).", "default": "" }, "calendar_date_to": { "title": "Calendar: to date", "type": "string", "description": "`YYYY-MM-DD` upper bound. Empty = ~120 days out.", "default": "" }, "event_inputs": { "title": "Event code or venue ID (one per line)", "type": "array", "description": "Drill into one auction event via `/calendar/event` (e.g. `E-31309` or a numeric venueId). Returns one event summary row plus one row per property in the event.", "items": { "type": "string" } }, "availability": { "title": "Availability", "enum": [ "active", "closed" ], "type": "string", "description": "Active = live auctions; Removed = the closed/ended bucket.", "default": "active" }, "buyingType": { "title": "Buying type", "enum": [ "", "Foreclosure Homes", "REO Bank Owned", "Private Seller" ], "type": "string", "description": "Auction.com buying type. Also scopes the calendar (Foreclosure → live courthouse events, REO → online events).", "default": "" }, "propertyType": { "title": "Property type", "enum": [ "", "house", "condo", "townhouse", "multi_family", "mobile", "land", "commercial" ], "type": "string", "description": "Structure type to keep.", "default": "" }, "occupancy": { "title": "Occupancy status", "enum": [ "", "VACANT", "OCCUPIED", "OWNER_OCCUPIED", "TENANT_OCCUPIED" ], "type": "string", "description": "Occupancy at listing time — a key auction-property signal.", "default": "" }, "priceRange": { "title": "Price range ($, starting bid)", "type": "string", "description": "Format: `min:50000,max:400000` — or just `min:…` / `max:…`.", "default": "" }, "bedsRange": { "title": "Bed range", "type": "string", "description": "Format: `min:2,max:4`.", "default": "" }, "sqftRange": { "title": "Square-footage range", "type": "string", "description": "Format: `min:1000,max:2500`.", "default": "" }, "sort": { "title": "Sort", "enum": [ "auction_date", "newest", "price_low", "price_high" ], "type": "string", "description": "Order of search results.", "default": "auction_date" }, "limit": { "title": "Results per search", "minimum": 1, "maximum": 250, "type": "integer", "description": "Max listings (or calendar events) returned per input. Upstream caps a page at 250.", "default": 50 }, "pages": { "title": "Pages per search", "minimum": 1, "maximum": 10, "type": "integer", "description": "How many pages to fetch for each search input.", "default": 1 }, "fetch_states": { "title": "Fetch supported states", "type": "boolean", "description": "One row per US state via `/states`.", "default": false }, "fetch_enums": { "title": "Fetch filter vocabularies", "type": "boolean", "description": "One row per filter enum group via `/enums` (buying types, property types, sorts…).", "default": false }, "fetch_sell": { "title": "Fetch seller info", "type": "boolean", "description": "One informational row on how selling works on auction.com via `/sell`.", "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 } } } } } } } } } } ```