# BidFTA Scraper (`lexis-solutions/bidfta-scraper`) Actor BidFTA.com auction scraper for USA liquidation and returns: extract item details, MSRP, current bids, images, and pickup locations from BidFTA search, category, and item URLs for online auction and ecommerce analytics. - **URL**: https://apify.com/lexis-solutions/bidfta-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** E-commerce, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $35.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## BidFTA Scraper --- ![banner](https://i.ibb.co/C30ZwTYK/Screenshot-2026-03-22-at-11-17-38-PM.png) --- Scrape auction listings from **BidFTA.com** — one of the largest online auction platforms in the US for returned, overstock, and liquidation merchandise. ### What does BidFTA Scraper do? BidFTA Scraper extracts structured data from BidFTA.com auction listings. It supports keyword search pages, category browse pages, and individual item detail pages. For each item, it collects detailed product information including current bids, MSRP, condition, images, and pickup location. The scraper automatically handles pagination so you can extract all results from any search or category. ### Use cases - **Price monitoring** — Track current bid prices and MSRP for specific product categories or keywords - **Market research** — Analyze auction trends, popular categories, and pricing patterns across regions - **Inventory sourcing** — Find deals on returned and overstock merchandise by location and condition - **Competitive analysis** — Monitor auction activity and bidding patterns across pickup locations ### Input | Field | Type | Description | |-------|------|-------------| | `startUrls` | Array | BidFTA search, category, or detail URLs | | `maxItems` | Integer | Maximum items to scrape per start URL (default: 5) | | `proxyConfiguration` | Object | Proxy settings (default: no proxy) | #### Supported URL types - **Search**: `https://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset` - **Category**: `https://www.bidfta.com/items?pageId=1&categoryJson=...` - **Detail**: `https://www.bidfta.com/596744/item-detail/53293577` ### Input example ```json { "startUrls": [ { "url": "https://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset" } ], "maxItems": 5 } ```` ### Output Each scraped item includes the following fields: ```json { "url": "https://www.bidfta.com/596744/item-detail/53293577", "itemId": 53293577, "lotCode": "PPE4819209", "auctionId": 596744, "auctionNumber": "LVL2601763", "title": "Wireless Headset with Mic for Work, Bluetooth V5.2 Headphones...", "description": "Wireless Headset with AI Noise Cancelling Microphone...", "brand": "JIAMQISHI", "condition": "New/Like New", "msrp": 42.48, "currentBid": 12.00, "nextBid": 13.00, "bidsCount": 5, "quantity": 1, "category1": "Electronics", "category2": "Headphones", "imageUrl": "https://m.media-amazon.com/images/I/71ekhPRGarL._AC_SL1500_.jpg", "images": [ "https://m.media-amazon.com/images/I/71ekhPRGarL._AC_SL1500_.jpg", "https://m.media-amazon.com/images/I/71l6gPwfdxL._AC_SL1500_.jpg" ], "utcEndDateTime": "2026-03-22T19:06:00Z", "itemClosed": false, "locationName": "Louisville - Intermodal Dr.", "locationAddress": "7300 Intermodal Dr.", "locationCity": "Louisville", "locationState": "KY", "locationZip": "40258" } ``` ### Why use BidFTA Scraper? - **No browser needed** — Uses fast HTTP-only scraping for maximum speed and low compute costs - **Complete item data** — Extracts full detail pages with descriptions, all images, and bid info - **Location data** — Includes pickup warehouse address for every item - **Flexible input** — Supports keyword search, category browsing, and direct item URLs - **Per-URL limits** — `maxItems` applies per start URL so you can control output for each query ### FAQ **How many items can I scrape?** There is no hard limit. BidFTA typically has thousands of active auction items. Use `maxItems` to control how many items you extract per search. **Does it need a proxy?** No. BidFTA works reliably without proxies. You can enable Apify Proxy if needed for high-volume scraping. **How often does the data update?** Auction data (bids, time remaining) changes in real time. Run the scraper as frequently as you need fresh data. ### Image Credit Image credit: https://www.bidfta.com # Actor input Schema ## `startUrls` (type: `array`): URLs to scrape. Supports search URLs, category URLs, and detail URLs. ## `maxItems` (type: `integer`): Maximum number of items to scrape per start URL. ## `proxyConfiguration` (type: `object`): Proxy configuration for the scraper. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset" } ], "maxItems": 5, "proxyConfiguration": { "useApifyProxy": 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 = { "startUrls": [ { "url": "https://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/bidfta-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://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/bidfta-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 '{ "startUrls": [ { "url": "https://www.bidfta.com/items?pageId=1&itemSearchKeywords=headset" } ] }' | apify call lexis-solutions/bidfta-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/bidfta-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BidFTA Scraper", "description": "BidFTA.com auction scraper for USA liquidation and returns: extract item details, MSRP, current bids, images, and pickup locations from BidFTA search, category, and item URLs for online auction and ecommerce analytics.", "version": "1.0", "x-build-id": "dFdPcFAapOOVdZ93Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~bidfta-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-bidfta-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~bidfta-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-bidfta-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~bidfta-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-bidfta-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to scrape. Supports search URLs, category URLs, and detail URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of items to scrape per start URL.", "default": 5 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for the scraper.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```