# 🎸 Reverb Musical Instrument Scraper — Used Gear (`nexgendata/reverb-musical-instrument-scraper`) Actor Scrape Reverb.com listings — title, brand, model, year, finish, condition, price, seller, location, photos. Search by query, category, condition, price range. Built for vintage-gear flippers, music store competitive pricing, instrument insurance appraisers, brand monitoring for guitar manufacturers. - **URL**: https://apify.com/nexgendata/reverb-musical-instrument-scraper.md - **Developed by:** [Stephan Corbeil](https://apify.com/nexgendata) (community) - **Categories:** E-commerce, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 listing returneds 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 Musical Instrument Scraper Scrape used-gear listings from **Reverb.com** — the world's largest marketplace for guitars, basses, keyboards, synths, drums, amps, pedals, and pro audio. Returns clean structured JSON with brand, model, year, finish, condition, price, seller, location, and high-resolution photo URLs. Built for vintage-gear flippers, music-store competitive pricing teams, instrument insurance appraisers, and brand monitoring at guitar manufacturers (Fender / Gibson / Martin / PRS). Powered by Reverb's official public listings API — no auth required, no anti-bot to fight. Polite throttling baked in. ### What you get Each dataset item has the following fields: | Field | Type | Notes | |---|---|---| | `id` | string | Reverb listing ID | | `title` | string | Listing headline | | `make` | string | Brand (Fender, Gibson, Yamaha, etc.) | | `model` | string | Model name | | `year` | string | Year of manufacture (when known) | | `finish` | string | Color / finish (Sunburst, Black, etc.) | | `condition` | string | Mint / Excellent / Very Good / Good / Fair / Poor / B-Stock / Brand New | | `condition_slug` | string | Machine-friendly version (`mint`, `very-good`, etc.) | | `price_amount` | string | Listed price as decimal string | | `price_currency` | string | ISO currency code (USD, GBP, EUR, etc.) | | `price_display` | string | Human-readable price ("$7,000") | | `buyer_price_display` | string | Total price the buyer pays incl. fees | | `categories` | string[] | Reverb category breadcrumbs | | `shop_name` | string | Seller / store name | | `shop_id` | integer | Seller ID for joining storefront detail | | `shop_location` | string | Seller's city/region | | `us_outlet` | boolean | Reverb-vetted US outlet store | | `auction` | boolean | Auction listing flag | | `offers_enabled` | boolean | Whether the seller accepts offers | | `state_slug` | string | Lifecycle state (`live`, `sold`, etc.) | | `inventory` | integer | Stock count (when applicable) | | `created_at` | string | ISO 8601 timestamp | | `published_at` | string | ISO 8601 timestamp | | `description` | string | First 1,500 chars of the full listing description | | `photos` | string[] | Up to 10 full-size photo URLs | | `web_url` | string | Public Reverb URL for the listing | ### Use cases - **Vintage gear flipping** — monitor pricing on `vintage Fender Stratocaster` daily, alert on under-priced listings. - **Music store competitive pricing** — pull weekly pricing for every guitar in your category, automatically reprice your own inventory. - **Insurance appraisal** — generate a fair-market-value comp report for an insured instrument by pulling 30 days of comparable Reverb listings. - **Brand monitoring** — track every "Gibson Les Paul Standard" listing live on Reverb, surface pricing trends, identify common defects/damage in descriptions. - **Resale arbitrage** — cross-reference Reverb prices with eBay / Craigslist / Facebook Marketplace to find arbitrage opportunities. - **Custom shop tracking** — find every PRS Private Stock or Fender Custom Shop on the site for a high-end re-sale operation. ### Quick start Input JSON: ```json { "query": "fender stratocaster", "category": "electric-guitars", "condition": "excellent", "price_min": 1000, "price_max": 5000, "max_results": 50 } ```` Sample output item: ```json { "id": 86234567, "title": "Fender American Vintage II 1961 Stratocaster - Olympic White", "make": "Fender", "model": "American Vintage II 1961 Stratocaster", "year": "2024", "finish": "Olympic White", "condition": "Excellent", "condition_slug": "excellent", "price_amount": "1899.00", "price_currency": "USD", "price_display": "$1,899", "shop_name": "Sweetwater's Gear Exchange", "shop_location": "Fort Wayne, IN, United States", "categories": ["Electric Guitars / Solid Body"], "photos": ["https://rvbstatic.akamaized.net/..."], "web_url": "https://reverb.com/item/86234567-fender-american-vintage-ii..." } ``` ### Python SDK example ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run = client.actor("nexgendata/reverb-musical-instrument-scraper").call(run_input={ "query": "gibson les paul standard 50s", "condition": "excellent", "price_min": 1500, "max_results": 100, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["title"], "-", item["price_display"], "-", item["shop_location"]) ``` ### cURL example ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~reverb-musical-instrument-scraper/runs?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"query":"moog matriarch","max_results":25}' ``` ### Integrations - **Zapier / Make.com / n8n** — schedule a daily scrape, push results to Google Sheets, Airtable, or your CRM. - **Slack** — pipe new listings under your watchlist into a Slack channel via webhook. - **Postgres / BigQuery / Snowflake** — sync the dataset directly via Apify's webhook + your data warehouse. ### Pricing Pay-per-event: - **Actor start**: $0.00005 (one-time per run) - **Per listing returned**: $0.005 Cost calculator: | Listings | Approx. cost | |---|---| | 25 | $0.13 | | 100 | $0.50 | | 500 | $2.50 | | 1,000 | $5.00 | | 10,000 | $50.00 | There is no minimum subscription. You only pay for listings actually returned to your dataset. ### FAQ **Q: How fresh is the data?**\ A: Live. Each run hits Reverb's public listings API in real time — listings posted seconds before the run will appear. **Q: Are sold listings included?**\ A: By default the API returns live listings only. For sold-comp queries we recommend filtering on `state_slug = "sold"` in your downstream processing if Reverb's API surfaces them for your query. **Q: What's NOT included?**\ A: Internal seller analytics (offer counts, watcher counts), private messages, in-cart info. The actor returns only what's publicly visible on a Reverb listing page. **Q: What if the search returns zero results?**\ A: The actor exits cleanly and pushes no items — you are not charged the per-listing fee, only the tiny actor-start fee. **Q: How do I find category slugs?**\ A: Browse Reverb.com — the URL slug for any category (e.g. `electric-guitars`, `keyboards-and-synths`) maps directly to the `category` input here. **Q: Are there alternative Reverb actors on Apify?**\ A: A handful of older Reverb scrapers exist with single-digit user counts; this one is positioned as the canonical, fully-documented Reverb scraper with the official API path. ### Related actors from nexgendata - [Shopify Product Scraper](https://apify.com/nexgendata/shopify-product-scraper) — pair Reverb pricing with Shopify storefront analysis for resellers. - [eBay Search Scraper](https://apify.com/nexgendata/ebay-search-scraper) — cross-check Reverb prices against eBay for arbitrage. - [Yahoo Finance Scraper](https://apify.com/nexgendata/yahoo-finance-scraper) — track Fender / Gibson public-company filings alongside marketplace pricing. ### About nexgendata Built and maintained by [nexgendata](https://apify.com/nexgendata?fpr=2ayu9b) — a portfolio of 160+ specialized scrapers and MCP servers. Need higher volume, custom output, or a private fork? Email steve\_corbeil@hotmail.com. # Actor input Schema ## `query` (type: `string`): Free-text search (brand, model, keyword). Example: 'fender stratocaster', 'gibson les paul', 'moog synthesizer'. ## `category` (type: `string`): Reverb category slug to filter by. Common values: electric-guitars, acoustic-guitars, bass-guitars, keyboards-and-synths, amps, effects-and-pedals, drums-and-percussion. Leave blank to search all categories. ## `condition` (type: `string`): Filter by condition. Options: mint, excellent, very-good, good, fair, poor, b-stock, non-functioning, brand-new. Leave blank for all conditions. ## `price_min` (type: `integer`): Lower bound on listing price in USD. Leave blank for no minimum. ## `price_max` (type: `integer`): Upper bound on listing price in USD. Leave blank for no maximum. ## `max_results` (type: `integer`): Maximum number of listings to return (1-500). Reverb returns ~50 per page. ## Actor input object example ```json { "query": "fender stratocaster", "condition": "", "max_results": 25 } ``` # 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 = { "query": "fender stratocaster", "category": "", "condition": "", "price_min": 0, "price_max": 0, "max_results": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/reverb-musical-instrument-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 = { "query": "fender stratocaster", "category": "", "condition": "", "price_min": 0, "price_max": 0, "max_results": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/reverb-musical-instrument-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 '{ "query": "fender stratocaster", "category": "", "condition": "", "price_min": 0, "price_max": 0, "max_results": 25 }' | apify call nexgendata/reverb-musical-instrument-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/reverb-musical-instrument-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🎸 Reverb Musical Instrument Scraper — Used Gear", "description": "Scrape Reverb.com listings — title, brand, model, year, finish, condition, price, seller, location, photos. Search by query, category, condition, price range. Built for vintage-gear flippers, music store competitive pricing, instrument insurance appraisers, brand monitoring for guitar manufacturers.", "version": "0.0", "x-build-id": "27sbrXY9G2SQgbvlm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~reverb-musical-instrument-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-reverb-musical-instrument-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~reverb-musical-instrument-scraper/runs": { "post": { "operationId": "runs-sync-nexgendata-reverb-musical-instrument-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~reverb-musical-instrument-scraper/run-sync": { "post": { "operationId": "run-sync-nexgendata-reverb-musical-instrument-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search query", "type": "string", "description": "Free-text search (brand, model, keyword). Example: 'fender stratocaster', 'gibson les paul', 'moog synthesizer'." }, "category": { "title": "Category slug", "type": "string", "description": "Reverb category slug to filter by. Common values: electric-guitars, acoustic-guitars, bass-guitars, keyboards-and-synths, amps, effects-and-pedals, drums-and-percussion. Leave blank to search all categories." }, "condition": { "title": "Condition filter", "enum": [ "", "mint", "excellent", "very-good", "good", "fair", "poor", "b-stock", "non-functioning", "brand-new" ], "type": "string", "description": "Filter by condition. Options: mint, excellent, very-good, good, fair, poor, b-stock, non-functioning, brand-new. Leave blank for all conditions.", "default": "" }, "price_min": { "title": "Minimum price (USD)", "minimum": 0, "type": "integer", "description": "Lower bound on listing price in USD. Leave blank for no minimum." }, "price_max": { "title": "Maximum price (USD)", "minimum": 0, "type": "integer", "description": "Upper bound on listing price in USD. Leave blank for no maximum." }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return (1-500). Reverb returns ~50 per page.", "default": 50 } } }, "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 } } } } } } } } } } ```