OfferUp Listings Scraper

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🎯 What this scrapes

OfferUp is the largest U.S. local-classifieds marketplace -- furniture, electronics, vehicles, and everything in between, sold peer-to-peer near you. This Actor runs your search queries against OfferUp's own search index and returns every matching listing as a clean, typed row: title, price, condition, seller, and location, with an optional deeper pass that pulls the full description, category, seller rating, and precise coordinates from each listing's detail page.

🔥 What we handle for you

• 🛡️ Browser fingerprint rotation -- curl-cffi impersonates real Chrome / Firefox / Safari TLS handshakes so OfferUp sees a browser, not Python.
• 🌐 US-pinned residential-ISP proxy pool -- fresh exit IP on every block, no drifting geography.
• 🔁 Retries with exponential backoff on 408 / 429 / 5xx -- up to 5 attempts per page, Retry-After honoured.
• 🧱 Rate-limit-aware pacing -- when OfferUp pushes back, we slow down instead of getting banned.
• 🧊 Clean, typed dataset rows -- Pydantic-validated, ISO-8601 timestamps, stable IDs, JSON / CSV / Excel export straight from the Apify Console.
• 💰 Pay-Per-Event pricing -- you only pay for results that hit your dataset. No data, no charge.

💡 Use cases

• Resale arbitrage -- track newly posted listings across categories to spot underpriced items before anyone else.
• Local market research -- benchmark asking prices for a product category in a specific city or ZIP radius.
• Competitive intelligence for resellers -- monitor a competitor's listings and pricing moves over time.
• Lead generation for local services -- surface active sellers of a given item type as warm outreach targets.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Fill in the input form — most fields have sensible defaults.
3. Click Start. Output streams into the run's dataset.
4. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.

📥 Input

Field	Type	Required	Default	Notes
searchQueries	array	yes	['mountain bike']	1-20 free-text OfferUp search terms, e.g. mountain bike or iphone 13.
zipCode	string	no	''	Pins the search location via OfferUp's own location cookie. Leave blank to follow the proxy exit IP's geolocation…
radiusMiles	integer	no	30	OfferUp's own slider values -- must be one of 5, 10, 20, 30, or 50.
priceMin	integer	no	'—'	Lower bound on listing price, in USD.
priceMax	integer	no	'—'	Upper bound on listing price, in USD.
sortBy	string	no	'best_match'	OfferUp's own confirmed sort-order values.
maxItemsPerQuery	integer	no	40	Stops paging a query once this many listings are collected, or a page returns zero results.
scrapeDetails	boolean	no	True	When enabled, fetches each listing's detail page for description, category, seller name/rating, and precise…
proxyConfiguration	object	no	{'useApifyProxy': True}	Apify Proxy spec. Datacenter default here -- RESIDENTIAL is unavailable on the FREE plan. The load-bearing proxy path…

Example input

{
  "searchQueries": [
    "iphone 13"
  ],
  "maxItemsPerQuery": 5,
  "scrapeDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

📤 Output

Every row is one dataset item.

Field	Type	Notes
search_query	string	Input search query this row was found under.
listing_id	string	OfferUp's own listing identifier.
listing_url	string	Canonical https://offerup.com/item/detail/{listing_id} URL.
title	string	Listing title.
price	number	Current asking price.
original_price	['number', 'null']	Pre-discount price, when OfferUp publishes one; null otherwise.
is_firm_price	['boolean', 'null']	True when the seller marked the price as firm; null when unknown (scrapeDetails=false).
currency	string	Always USD -- OfferUp is a US-only marketplace.
condition_text	['string', 'null']	Seller-provided condition label, when present on the search tile.
location_name	['string', 'null']	Human-readable listing location, e.g. 'Greenfild Township, PA'.
latitude	['number', 'null']	Precise listing latitude; populated only when scrapeDetails=true.
longitude	['number', 'null']	Precise listing longitude; populated only when scrapeDetails=true.
image_url	['string', 'null']	Primary listing photo URL.
description	['string', 'null']	Full listing description; populated only when scrapeDetails=true.
category	['string', 'null']	OfferUp category name; populated only when scrapeDetails=true.
seller_name	['string', 'null']	Seller display name; populated only when scrapeDetails=true.
seller_rating	['number', 'null']	Seller's average rating, 0.0-5.0; populated only when scrapeDetails=true.
seller_items_sold	['integer', 'null']	Seller's total items sold; populated only when scrapeDetails=true.
posted_at	['string', 'null']	ISO-8601 listing post timestamp; populated only when scrapeDetails=true.
scraped_at	string	ISO-8601 UTC row-creation timestamp.

Example output

{
  "search_query": "mountain bike",
  "listing_id": "4701d7d2-51cd-3f10-bc23-675fb1d1a32b",
  "listing_url": "https://offerup.com/item/detail/4701d7d2-51cd-3f10-bc23-675fb1d1a32b",
  "title": "Black Mountain Bike with Knobby Tires",
  "price": 180.0,
  "original_price": null,
  "is_firm_price": false,
  "currency": "USD",
  "condition_text": null,
  "location_name": "Greenfild Township, PA",
  "latitude": 41.558,
  "longitude": -75.494,
  "image_url": "https://images.offerup.com/prtbnuI6j3f6BL0cpEm3gKbwrPs=/250x333/3a30/3a3088b58f6c48288524da0a7f735341.jpg",
  "description": "Black full-frame mountain bike with knobby tires...",
  "category": "Bikes & Cycling",
  "seller_name": "Taylor",
  "seller_rating": 5.0,
  "seller_items_sold": 129,
  "posted_at": "2026-08-15T04:19:33.246Z",
  "scraped_at": "2026-08-15T12:00:00.000Z"
}

💰 Pricing

Pay-Per-Event — you pay only when these events fire:

Event	USD	What it is
actor-start	$0.03	One-off warm-up charge per run
result-row	$0.0018	Per unique dataset item

Example: 1 000 results at the rates above ≈ $1.83. No subscription, no minimum, no card to start — Apify gives every new account $5 of free credit.

🚧 Limitations

Read-only, public-listing data only -- no posting, messaging, or authenticated-account actions. Seller detail is limited to what OfferUp exposes on the listing page (name, rating, items sold); full seller profile pages are out of scope. Without a zipCode, the search location follows the proxy's exit-IP geolocation, which can drift between runs.

❓ FAQ

Do I need a ZIP code?

No -- omit zipCode and OfferUp centers results on your proxy's exit-IP location. Set zipCode for a precise, repeatable search location regardless of which IP the run happens to use.

What's the difference with scrapeDetails on vs off?

Off returns the fast search-tile fields (title, price, condition, location, image) at one request per query. On adds one extra request per listing for description, category, seller name/rating, and precise coordinates.

Is this legal?

We only fetch content OfferUp already makes publicly available on its search and listing pages. Respect OfferUp's own terms of service before using the output commercially.

How do I export to Sheets?

After the run, click Storage -> Dataset -> Export and pick CSV. Google Sheets imports it directly.

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.

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