# Audiogon HiFi Marketplace Scraper - Used Audio Equipment (`jungle_synthesizer/audiogon-used-hifi-marketplace-scraper`) Actor Scrape used HiFi and audiophile equipment listings from Audiogon.com. Extract product titles, prices, conditions, manufacturers, models, seller info, locations, and images across all categories including amplifiers, speakers, DACs, turntables, cables, headphones, and more. - **URL**: https://apify.com/jungle\_synthesizer/audiogon-used-hifi-marketplace-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Audiogon Used HiFi Marketplace Scraper Scrape used HiFi and audiophile equipment listings from [Audiogon.com](https://www.audiogon.com), the leading peer-to-peer marketplace for high-end audio equipment. Extract listings across all categories including amplifiers, speakers, DACs, turntables, cables, headphones, tubes, and more. ### What data you'll get Each listing record includes: | Field | Description | |-------|-------------| | `listing_id` | Unique Audiogon listing slug/ID | | `title` | Listing title (e.g. "VAC Statement 450S Tube Amplifier") | | `price_usd` | Asking price in USD | | `condition` | Equipment condition (Mint, Excellent, Very Good, etc.) | | `category` | Category slug (amplifiers-receivers, speakers, etc.) | | `listing_url` | Full URL to the listing page | | `image_urls` | Array of listing image URLs | | `seller_location` | Seller city/location if shown on card | | `listed_at` | Listing date/time if available | | `scraped_at` | ISO timestamp when the record was scraped | | `description` | Full listing description (when fetchDetails is enabled) | | `seller_username` | Seller Audiogon username (when fetchDetails is enabled) | | `seller_feedback_count` | Number of seller transactions (when fetchDetails is enabled) | ### Input options | Option | Type | Description | Default | |--------|------|-------------|---------| | `maxItems` | integer | Maximum number of listings to scrape | 10 | | `categories` | array | List of category slugs to scrape. Leave empty for all 16 categories | All categories | | `fetchDetails` | boolean | Visit each listing page to get description, seller info, and more images (slower) | false | | `proxyConfiguration` | object | Proxy configuration (residential proxy required — Audiogon is CF-protected) | Residential | #### Available categories `accessories`, `amplifiers-receivers`, `analog`, `cables`, `computer-audio`, `da-converters`, `digital`, `furniture`, `headphones`, `home-theater`, `integrateds`, `music`, `power`, `speakers`, `tubes-valves`, `vinyl` ### Usage notes - **Cloudflare protection**: Audiogon uses Cloudflare Managed Challenge (Turnstile). This actor automatically handles CF bypass using CapSolver. Residential proxy is required and included by default. - **Listing count**: Audiogon displays approximately 20 listings per page. The `maxItems` parameter controls the total number scraped across all requested categories. - **Images**: Card-view images are lazy-loaded and may appear as 1x1 placeholders in listing-only mode. Enable `fetchDetails: true` to get full gallery images from listing detail pages. - **Pagination**: The actor follows pagination links automatically up to 100 pages per category. ### Example output ```json { "listing_id": "lisb61ei-vac-statement-450s-tube", "title": "VAC Statement 450S", "price_usd": 17500, "condition": null, "category": "amplifiers-receivers", "listing_url": "https://www.audiogon.com/listings/lisb61ei-vac-statement-450s-tube", "image_urls": [], "seller_location": null, "listed_at": null, "scraped_at": "2026-05-24T15:26:57.400Z" } ```` # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `categories` (type: `array`): List of Audiogon category slugs to scrape. Leave empty to scrape all categories. Example: \['amplifiers', 'speakers', 'dacs']. ## `maxItems` (type: `integer`): Maximum number of listings to scrape across all selected categories. Each listing is one record. ## `fetchDetails` (type: `boolean`): If enabled, the scraper visits each listing's detail page to extract the full description, seller feedback count, and additional images. Significantly increases run time. ## `proxyConfiguration` (type: `object`): Proxy settings. Audiogon requires residential proxy to bypass Cloudflare protection. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "amplifiers", "speakers", "dacs" ], "maxItems": 10, "fetchDetails": false } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "amplifiers", "speakers", "dacs" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/audiogon-used-hifi-marketplace-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "amplifiers", "speakers", "dacs", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/audiogon-used-hifi-marketplace-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "categories": [ "amplifiers", "speakers", "dacs" ], "maxItems": 10 }' | apify call jungle_synthesizer/audiogon-used-hifi-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/audiogon-used-hifi-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Audiogon HiFi Marketplace Scraper - Used Audio Equipment", "description": "Scrape used HiFi and audiophile equipment listings from Audiogon.com. Extract product titles, prices, conditions, manufacturers, models, seller info, locations, and images across all categories including amplifiers, speakers, DACs, turntables, cables, headphones, and more.", "version": "1.0", "x-build-id": "Jn4ROh8LlvMcjdN81" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~audiogon-used-hifi-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-audiogon-used-hifi-marketplace-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/jungle_synthesizer~audiogon-used-hifi-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-audiogon-used-hifi-marketplace-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/jungle_synthesizer~audiogon-used-hifi-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-audiogon-used-hifi-marketplace-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": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "categories": { "title": "Categories", "type": "array", "description": "List of Audiogon category slugs to scrape. Leave empty to scrape all categories. Example: ['amplifiers', 'speakers', 'dacs'].", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape across all selected categories. Each listing is one record.", "default": 50 }, "fetchDetails": { "title": "Fetch Listing Details", "type": "boolean", "description": "If enabled, the scraper visits each listing's detail page to extract the full description, seller feedback count, and additional images. Significantly increases run time.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Audiogon requires residential proxy to bypass Cloudflare protection." } } }, "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 } } } } } } } } } } ```