# Reverb Price Guide Used Gear Scraper (`jungle_synthesizer/reverb-price-guide-used-gear-scraper`) Actor Scrape Reverb's used-gear Price Guide API for estimated value bands, transaction history, and condition breakdowns across guitars, basses, amps, synths, and drums. Delivers structured valuation data — ideal for dealers, insurers, flippers, and appraisers. - **URL**: https://apify.com/jungle\_synthesizer/reverb-price-guide-used-gear-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **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 ## Reverb Price Guide Used Gear Scraper Extract structured valuation data from the Reverb Price Guide — the de-facto Blue Book for used guitars, basses, amps, synths, and drums. Returns estimated value bands, instrument specifications, and photo URLs for any keyword search across Reverb's 116,000+ priced instrument models. ### What it does Queries the Reverb Price Guide API (`api.reverb.com/api/priceguide`) with your search keywords and returns structured price data for every matching instrument model. The Price Guide is Reverb's own valuation dataset — distinct from active for-sale listings — and covers estimated value ranges based on historical transaction data, year, finish, and condition. Each result includes: - Estimated value range (low and high) with currency - Instrument details: make, model, year, finish, categories - Canonical Reverb Price Guide URL for reference - Photo URL (where available) - Source query for multi-keyword attribution ### Use cases - **Gear dealers and music shops**: Benchmark trade-in and resale values for guitar and amp inventory - **Insurers and appraisers**: Pull current market values for declared-value policies and loss claims - **Gear flippers and collectors**: Track price trends across models, years, and finishes - **Research and analytics**: Build used-instrument price indices by category, make, or year range ### Input | Field | Type | Description | |-------|------|-------------| | `queries` | Array of strings | Search keywords to query (e.g. `["les paul", "stratocaster"]`). Defaults to a broad sweep of common instrument types if omitted. | | `maxItems` | Integer | Maximum total records to collect across all queries. | #### Example input ```json { "queries": ["les paul", "stratocaster", "jazz bass"], "maxItems": 500 } ```` Leave `queries` empty to run the default instrument sweep (les paul, stratocaster, telecaster, jazzmaster, jazz bass). ### Output Each record represents one priced instrument model from the Reverb Price Guide: ```json { "price_guide_id": 50929, "title": "Gibson Custom Shop Les Paul Peter Frampton 1954 Les Paul Custom 2015 Ebony", "make": "Gibson", "model": "Custom Shop Les Paul Peter Frampton 1954 Les Paul Custom", "year": "2015", "finish": "Ebony", "categories": "Electric Guitars / Solid Body", "estimated_value_low": 3615, "estimated_value_high": 5255, "estimated_value_currency": "USD", "last_transaction_price": null, "last_transaction_date": null, "transaction_count": null, "condition_breakdown": null, "reverb_url": "https://reverb.com/price-guide/guide/50929-...", "photos": "https://static.reverb-assets.com/...", "source_query": "les paul", "scraped_at": "2026-05-30T19:30:28.392Z" } ``` ### Data source This actor queries the Reverb Price Guide API directly — a clean public HAL+JSON API with no authentication or Cloudflare protection required. This makes it significantly more reliable than actors that scrape the Reverb storefront HTML. The Price Guide covers guitar, bass, keyboard, amp, and drum models. Transaction-level detail (per-condition price breakdowns, transaction counts) is available via the `/transactions` endpoint and is a planned future enhancement. ### Rate limits and performance The actor uses a 200ms delay between API pages as a courtesy — no published rate limit exists for the Price Guide API. Page size is set to 100 items per request. A run collecting 10,000 records across multiple queries typically completes in a few minutes. ### Competitor comparison | Actor | Target | Approach | |-------|--------|----------| | This actor | Reverb Price Guide (valuations) | Direct API — no CF, no render | | Most other Reverb actors | Reverb storefront (listings) | HTML scraping — CF-guarded, fragile | This is the only actor targeting the Price Guide dataset. Competitors scrape active listings, which are subject to Cloudflare protection and page-layout changes. # 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. ## `queries` (type: `array`): List of search keywords to query the Reverb Price Guide (e.g. "les paul", "stratocaster", "jazzmaster"). Each query runs as a separate paginated API call. Defaults to a broad instrument sweep if omitted. ## `maxItems` (type: `integer`): Maximum total number of price guide records to collect across all queries. ## 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...", "queries": [ "les paul", "stratocaster", "jazzmaster" ], "maxItems": 10 } ``` # 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...", "queries": [ "les paul", "stratocaster", "jazzmaster" ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/reverb-price-guide-used-gear-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...", "queries": [ "les paul", "stratocaster", "jazzmaster", ], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/reverb-price-guide-used-gear-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...", "queries": [ "les paul", "stratocaster", "jazzmaster" ], "maxItems": 10 }' | apify call jungle_synthesizer/reverb-price-guide-used-gear-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/reverb-price-guide-used-gear-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reverb Price Guide Used Gear Scraper", "description": "Scrape Reverb's used-gear Price Guide API for estimated value bands, transaction history, and condition breakdowns across guitars, basses, amps, synths, and drums. Delivers structured valuation data — ideal for dealers, insurers, flippers, and appraisers.", "version": "0.1", "x-build-id": "GoWHC434lqlcCOqdT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~reverb-price-guide-used-gear-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-reverb-price-guide-used-gear-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~reverb-price-guide-used-gear-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-reverb-price-guide-used-gear-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~reverb-price-guide-used-gear-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-reverb-price-guide-used-gear-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", "required": [ "maxItems" ], "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." }, "queries": { "title": "Search Queries", "type": "array", "description": "List of search keywords to query the Reverb Price Guide (e.g. \"les paul\", \"stratocaster\", \"jazzmaster\"). Each query runs as a separate paginated API call. Defaults to a broad instrument sweep if omitted.\n", "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum total number of price guide records to collect across all queries.", "default": 1000 } } }, "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 } } } } } } } } } } ```