Reverb Price Guide Used Gear Scraper
Pricing
Pay per event
Reverb Price Guide Used Gear Scraper
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.
Pricing
Pay per event
Rating
0.0
(0)
Developer
BowTiedRaccoon
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
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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
{"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:
{"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.