OfferUp Scraper | US Marketplace Listings & Prices

OfferUp Scraper — US Local Marketplace Listings, Prices, Locations & Seller Data

Turn the live OfferUp marketplace into a clean, structured dataset. Search OfferUp.com by keyword, US city/ZIP, radius, price range, condition, and delivery mode — and extract item title, asking price in USD, city & state location, shipping availability, listing ID, high-resolution photo URLs, and direct listing links (plus optional detail-page enrichment for description, category, and seller profile data).

Export to JSON, CSV, Excel, XML, or the Apify API — no login, no coding, no browser maintenance required.

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⚡ At a glance

Feature	Details
🎯 Target marketplace	OfferUp.com — Leading US mobile-first local buy-and-sell marketplace
🔍 Search & Filters	Multi-keyword search (keywords), 20 built-in US metros + custom City/ZIP (locationCustom), radius (5–50 miles), priceMin / priceMax, condition, and deliveryType (pickup / shipping)
🏷️ Core listing data	listingId (100%), title (100%), price in USD (100%), location (City, ST, 100%), shippingAvailable (100%), images array (100%), and listingUrl (100%)
📝 Detail enrichment	Optional scrapeDetails: true visits individual /item/detail/{id} pages to enrich description, category, condition, and seller fields when exposed
🔁 Pagination & Scale	Unlocked 1,000+ results pagination (maxPages: 0 auto-paginates until maxRecords is reached) with 100% listingId deduplication
🛡️ Session resilience	Built-in US residential proxy rotation, automatic homepage session warmup, and 403/429 retry recovery
📦 Bulk export	JSON, JSONL, CSV, Excel (XLSX), HTML, XML, and direct REST API endpoints

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🔎 Why scrape OfferUp?

OfferUp (which absorbed Letgo in the US) is one of the largest local C2C and recommerce marketplaces in North America, where millions of buyers and sellers trade smartphones, laptops, gaming consoles, used cars & trucks, furniture, power tools, sneakers, musical instruments, bicycles, and appliances every single day. For resellers, pricing analysts, DTC brands, and alternative-data researchers, OfferUp is a primary real-time barometer of US second-hand supply and asking prices.

However, OfferUp does not provide a public developer API, and extracting data from offerup.com on your own is notoriously tough:

• Strict edge protection: OfferUp blocks datacenter IP addresses immediately and challenges non-browser requests.
• Multi-keyword & multi-page aggregation: Monitoring dozens of SKUs across pages requires automated session management, pagination, and cross-search deduplication.
• Unstructured layout: Turning infinite-scroll listing tiles into a clean table with normalized numeric prices, shipping flags, and city/state strings takes dedicated parsing logic.

This OfferUp scraper manages browser sessions, US residential proxy rotation, multi-page traversal, and listingId deduplication automatically — returning a clean, flat dataset in minutes.

Common reasons teams use this OfferUp data extractor

• 💸 Reseller & Flip Sourcing — Monitor underpriced iPhones, MacBooks, PS5s, cameras, power tools, and sneakers to flip on eBay, Mercari, Swappa, or Amazon.
• 📊 Second-Hand Price Benchmarking — Track the live USD asking-price distribution (min, median, p25/p75) for specific consumer electronics, musical instruments, or tool models.
• 🚗 Used Auto & Truck Market Research — Scrape local used-car and pickup-truck supply (honda civic, toyota tacoma, ford f150, chevy silverado) across US metros.
• 🛍️ E-Commerce & DTC Brand Intelligence — Measure secondary-market resale volume and price retention for your brand's products.
• 📈 Alternative Data & Circular Economy Research — Quantify consumer resale velocity and local inventory trends across US cities.
• 🔔 Automated Deal Alerts — Schedule hourly or daily runs and diff against previously seen listingId values to alert Slack, Discord, or Telegram on new bargains.

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✨ What this OfferUp scraper does

• ✅ Multi-keyword batch execution — Pass as many search terms as you want in keywords (e.g., ["iphone 15", "macbook air m2", "ps5", "dewalt"]). Each keyword runs in its own isolated session and all results merge into one deduplicated dataset.
• ✅ Unlocked 1,000+ results pagination — With maxPages: 0 (the default), the scraper automatically walks ?page=1, 2, 3 … for each keyword until maxRecords is reached or no new unique listings appear.
• ✅ 100% deduplicated output — Every listing is keyed on its unique OfferUp listingId, guaranteeing zero duplicates across pages and overlapping keywords.
• ✅ Complete core marketplace fields — Populates listingId, title, numeric price (USD), item location ("City, ST"), shippingAvailable (true/false), images array, listingUrl, searchKeyword, searchLocation, and scrapedAt on ~100% of records.
• ✅ Rich search filters — Supports US city dropdown (location), custom City/State or 5-digit ZIP code (locationCustom), radius (5 to 50 miles), priceMin / priceMax, condition, and deliveryType (all, pickup, shipping).
• ✅ Optional detail-page enrichment (scrapeDetails: true) — Visits individual listing URLs to capture description, category, condition, and seller attributes whenever OfferUp exposes them on the detail page.
• ✅ Zero-config fallback — Launch with empty keywords and the actor automatically samples 10 popular marketplace categories (iphone, macbook, sofa, bike, ps5, nike, tv, dresser, guitar, stroller).

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🎯 Use cases

1. Electronics, Console & Sneaker Flippers

• Multi-SKU deal radar: Run a single job with keywords: ["iphone 15 pro", "ps5 disc", "nintendo switch oled", "ipad pro"], priceMin: 100, priceMax: 650, and deliveryType: "shipping" to surface shippable bargains nationwide.

2. Recommerce & Trade-In Pricing Engines

• Live trade-in valuation comps: Pull 500–1,000 active listings per device model weekly, strip outliers, and compute live resale medians to calibrate trade-in offers and buyback pricing tables.

3. Local Dealerships, Auto Wholesalers & Parts Buyers

• Private-party vehicle sourcing: Search ["honda civic", "toyota camry", "ford f150", "utility trailer"] around target US metros (Houston, TX, Phoenix, AZ, Los Angeles, CA, Miami, FL, Atlanta, GA) to spot newly listed vehicles.

4. Retail & Consumer Goods Analysts

• Secondary-market saturation tracking: Track how many active second-hand listings exist for power tools (Milwaukee, DeWalt, Makita), strollers (UPPAbaby, Bugaboo), or fitness gear (Peloton, Concept2) and how their asking prices compare to MSRP.

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📥 Input parameters

Configure the actor via the Apify Console dropdowns or pass JSON via the API. All parameters are optional.

Parameter	Type	Default	Prefill	Description
keywords	array<string>	[]	["iphone"]	One or more search keywords. Each keyword runs an independent paginated search. Leave empty to pull a diverse 10-keyword sample.
location	string	"Los Angeles, CA"	"Los Angeles, CA"	Pick from 20 major US metro areas or "" (Nationwide).
locationCustom	string	""	—	Optional: Any US "City, ST" or 5-digit ZIP code (e.g., "Nashville, TN" or "37201"). Overrides the location dropdown when set.
radius	string	"30"	"30"	Search radius in miles: "5", "10", "20", "30", or "50".
condition	string	"all"	"all"	Filter by reported item condition: "all", "new", "like_new", "good", "fair", "poor".
deliveryType	string	"all"	"all"	Filter by fulfillment method: "all" (pickup or shipping), "pickup" (local pickup only), or "shipping" (nationwide shipping available).
priceMin	integer	0	0	Minimum price in USD (0 = no minimum).
priceMax	integer	0	0	Maximum price in USD (0 = no maximum).
scrapeDetails	boolean	false	false	Visit each individual /item/detail/{id} page to enrich description, category, and seller fields when available. Leave false for fast feed scraping.
maxRecords	integer	0	60	Maximum total listings to collect across all keywords (0 = unlimited; empty-keyword demo runs default to 100). Set to 1000+ for large pulls.
maxPages	integer	0	—	Maximum result pages per keyword. 0 = unlimited (auto-governed by maxRecords).
requestDelay	integer	2000	2000	Delay between page loads in milliseconds (1000–10000). Keep at 2000+ for smooth session longevity.
proxyConfiguration	object	Residential US	Residential US	Proxy configuration. US Residential proxies are pre-configured by default and required for OfferUp.

Sample Input Recipes

Recipe 1: Fast single-keyword run (60 listings in ~35 seconds)

{
  "keywords": ["iphone"],
  "location": "Los Angeles, CA",
  "radius": "30",
  "scrapeDetails": false,
  "maxRecords": 60,
  "maxPages": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Recipe 2: Deep 1,000+ listing multi-keyword electronics & gaming sweep

{
  "keywords": [
    "iphone 14",
    "iphone 15",
    "macbook pro",
    "ps5",
    "xbox series x",
    "nintendo switch",
    "ipad air",
    "airpods max"
  ],
  "location": "Los Angeles, CA",
  "radius": "50",
  "priceMin": 80,
  "priceMax": 1500,
  "scrapeDetails": false,
  "maxRecords": 1000,
  "maxPages": 0,
  "requestDelay": 2000
}

Recipe 3: Used trucks & cars search with price floor

{
  "keywords": ["toyota tacoma", "ford f150", "honda civic"],
  "location": "Houston, TX",
  "radius": "50",
  "priceMin": 3000,
  "priceMax": 25000,
  "deliveryType": "pickup",
  "maxRecords": 300
}

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📤 Output schema & field reference

Every OfferUp listing is emitted as a flat, consistent JSON object. Below is a real record from a verified run:

{
  "listingId": "8344d3f3-5061-30d4-8076-24844ece1093",
  "title": "iPhone 15 Pro Max 256GB Unlocked",
  "price": 650,
  "condition": null,
  "location": "Los Angeles, CA",
  "postDate": null,
  "postDateAgo": null,
  "shippingAvailable": false,
  "category": null,
  "description": null,
  "images": [
    "https://images.offerup.com/2lFDUEBsfohWNozJH27qJoBWX7E=/250x542/ef18/ef183441661946179e0ea8a3a73aec68.jpg"
  ],
  "sellerName": null,
  "sellerRating": null,
  "sellerReviewCount": null,
  "sellerVerified": null,
  "sellerJoinDate": null,
  "sellerItemCount": null,
  "listingUrl": "https://offerup.com/item/detail/8344d3f3-5061-30d4-8076-24844ece1093",
  "searchKeyword": "iphone",
  "searchLocation": "Los Angeles, CA",
  "scrapedAt": "2026-11-02T00:22:23.911Z"
}

🏷️ Core Listing, Price & Location Fields (Always Populated)

Field	Type	Coverage	Description
listingId	string	🟢 High (100%)	Unique OfferUp listing ID (UUID or numeric ID matching listingUrl)
title	string	🟢 High (100%)	Listing headline as published by the seller
price	number	🟢 High (~100%)	Asking price in US Dollars (USD)
location	string	🟢 High (100%)	Item's reported "City, ST" location on OfferUp
shippingAvailable	boolean	🟢 High (100%)	true if nationwide shipping is offered, false for local pickup only
images	array<string>	🟢 High (100%)	Array of photo URLs hosted on OfferUp's CDN
listingUrl	string	🟢 High (100%)	Direct link to the OfferUp item (https://offerup.com/item/detail/{listingId})
searchKeyword	string	🟢 High (100%)	The keyword from your input that produced this listing
searchLocation	string	🟢 High (100%)	The target location string configured for the run
scrapedAt	string	🟢 High (100%)	ISO-8601 UTC extraction timestamp

📝 Optional & Detail-Enriched Fields (scrapeDetails: true)

OfferUp's search feed omits extended item and seller metadata on most cards; these fields populate whenever OfferUp exposes them in the feed or when scrapeDetails: true is enabled:

Field	Type	Coverage	Description
condition	string | null	🟡 Conditional	Item condition (New, Like New, Good, Fair, Poor) when exposed
postDate	string | null	🟡 Conditional	ISO creation timestamp when exposed by OfferUp
postDateAgo	string | null	🟡 Conditional	Relative posting time (e.g., "2 hours ago") when exposed
category	string | null	🟡 Conditional (scrapeDetails)	OfferUp product category
description	string | null	🟡 Conditional (scrapeDetails)	Full text item description from the detail page
sellerName	string | null	🟡 Conditional (scrapeDetails)	Seller display name
sellerRating	number | null	🟡 Conditional (scrapeDetails)	Average seller rating (1.0–5.0)
sellerReviewCount	integer | null	🟡 Conditional (scrapeDetails)	Number of buyer reviews on the seller's profile
sellerVerified	boolean | null	🟡 Conditional (scrapeDetails)	OfferUp TruYou verification badge
sellerJoinDate	string | null	🟡 Conditional (scrapeDetails)	Seller account registration date
sellerItemCount	integer | null	🟡 Conditional (scrapeDetails)	Total items listed by the seller

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🏙️ Built-in US Metro Areas (location Dropdown)

Pick any of these 20 major US metropolitan areas directly from the location dropdown, or enter any US city/state or 5-digit ZIP code in locationCustom:

West & Southwest	Midwest & South	Northeast & Southeast
Los Angeles, CA	Chicago, IL	New York, NY
San Diego, CA	Detroit, MI	Philadelphia, PA
San Jose, CA	Houston, TX	Boston, MA
Seattle, WA	Dallas, TX	Miami, FL
Portland, OR	San Antonio, TX	Jacksonville, FL
Phoenix, AZ	Austin, TX	Atlanta, GA
Las Vegas, NV · Denver, CO

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🔁 Pagination & scale

The OfferUp Scraper is built to scale from quick 60-item checks to 1,000+ listing sweeps:

• Unlocked multi-page pagination (maxPages: 0): By default, maxPages is 0 (unlimited per keyword, governed by maxRecords). For each keyword, the scraper steps through ?page=1, 2, 3 … (~30–50 listings per page) until maxRecords is reached or the search runs out of new unique items.
• Empty-page streak detection: If OfferUp reaches the end of a keyword's feed and returns 0 new unique listings for 2 consecutive pages, the scraper automatically closes that keyword and moves to the next keyword in your list.
• Global listingId deduplication: Every record is deduplicated across all pages and all keywords within the run (0% duplicates verified across 300+ listing runs).
• Automatic session rotation on 403/429: Each keyword gets a fresh US residential proxy session and homepage cookie warmup. If a page encounters a 403 or 429 block, the actor discards the burned session, rotates to a new residential IP, re-warms cookies, and retries the exact same page automatically.

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💻 API Integration Examples

Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("haketa/offerup-scraper").call(run_input={
    "keywords": ["iphone 15", "macbook air", "ps5"],
    "location": "Los Angeles, CA",
    "radius": "50",
    "maxRecords": 500,
    "maxPages": 0,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    ship = "Ships" if item["shippingAvailable"] else "Local Pickup"
    print(f"${item['price']:>6} | {item['title'][:45]:45s} | {item['location']} ({ship}) | {item['listingUrl']}")

Node.js / TypeScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('haketa/offerup-scraper').call({
    keywords: ['iphone', 'macbook', 'ps5'],
    location: 'Los Angeles, CA',
    radius: '50',
    maxRecords: 300,
    maxPages: 0,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} unique OfferUp listings`);

cURL

curl -X POST "https://api.apify.com/v2/acts/haketa~offerup-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "keywords": ["iphone"],
    "location": "Los Angeles, CA",
    "maxRecords": 100
  }'

Warehouse & BI Integration (PostgreSQL / BigQuery / Snowflake)

Stream completed datasets into your analytics warehouse via Apify Webhooks to track historical price depreciation and local resale velocity:

CREATE TABLE offerup_listings (
    listing_id         TEXT PRIMARY KEY,
    title              TEXT,
    price_usd          NUMERIC,
    condition          TEXT,
    location           TEXT,
    shipping_available BOOLEAN,
    search_keyword     TEXT,
    search_location    TEXT,
    listing_url        TEXT,
    images             JSONB,
    scraped_at         TIMESTAMPTZ
);

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💡 Best Practices & Pro Tips

• Combine multiple specific keywords for 1,000+ item pulls: Because OfferUp caps the depth of any single search query, passing 5–10 related keywords (e.g., ["iphone 13", "iphone 14", "iphone 15", "iphone pro max"]) with maxPages: 0 and maxRecords: 1000 is the fastest way to harvest 1,000+ unique, deduplicated listings.
• Keep requestDelay at 2000 ms: A 2-second pause between page loads keeps residential proxy sessions healthy and minimizes session rotations.
• Understand OfferUp's IP geolocation behavior: OfferUp blends your location query parameter with the geolocation of the browsing US residential IP, and also mixes nationwide shippable listings into local feeds. Every output record includes the item's exact location ("City, ST") and shippingAvailable boolean so you can filter downstream by metro or state.
• Leave scrapeDetails: false for high-speed price & inventory feeds: Card mode extracts listingId, title, price, location, shippingAvailable, images, and listingUrl at ~30–50 listings per page load.

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❓ Frequently Asked Questions

How many OfferUp listings can I scrape in a single run?

You can collect 1,000+ unique listings in a single run by setting maxRecords: 1000 (or 0 for unlimited) and leaving maxPages: 0. Combine several keywords in keywords to maximize total unique inventory.

Do I need an OfferUp account or login?

No. The actor extracts public marketplace listings without requiring an OfferUp account or API key.

Why are US Residential proxies required?

OfferUp blocks all datacenter IP ranges at the network edge. The actor is pre-configured to use Apify's RESIDENTIAL proxy pool pinned to the United States (country-US), rotating sessions automatically per keyword and on any 403/429 response.

Why are condition, postDate, or sellerName sometimes null?

OfferUp's search feed reliably provides listingId, title, price, location, shippingAvailable, images, and listingUrl (100% coverage), but frequently omits seller and condition metadata on search cards. Those optional fields are populated whenever OfferUp surfaces them or when scrapeDetails: true is enabled.

Can I schedule automated runs for deal alerts?

Yes! Use the Apify Scheduler to run your search hourly or daily, and connect a webhook, Make, Zapier, or n8n workflow to compare listingId and price against your previous run.

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🔗 Related classifieds & marketplace scrapers

Building a multi-platform recommerce or classifieds dataset? Pair this OfferUp scraper with sibling scrapers from haketa:

• Kijiji.ca Scraper (Canada) — Canada's #1 classifieds marketplace
• OLX Brazil Scraper (Brazil) — Brazil classified ads, prices, attributes & vehicle benchmarks
• Marktplaats.nl Scraper (Netherlands) — Netherlands' top classifieds platform
• Kleinanzeigen.de Scraper (Germany) — Germany's largest classifieds marketplace
• Chotot.com Scraper (Vietnam) — Vietnam buy-and-sell classifieds
• Mourjan Scraper (MENA) — Middle East classifieds marketplace

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🔍 SEO Keywords

OfferUp scraper · scrape OfferUp · OfferUp data extractor · OfferUp API alternative · US local marketplace scraper · used electronics price tracker · OfferUp lead generation · recommerce price intelligence · reseller deal finder · bulk export JSON CSV Excel API · 1,000+ results pagination · B2B intelligence

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📋 Changelog

Version	Date	Notes
1.2.0	2026-11	Unlocked 1,000+ deep pagination & auto page scaling: Changed maxPages default from 10 to 0 (unlimited, governed by maxRecords), added automatic multi-page scaling on default keyword runs when maxRecords > 100, added 2-page empty-streak detection to stop cleanly at the end of results, and removed fields block from dataset_schema.json.
1.1.0	2026-11	Verified 300+ multi-keyword extraction: Confirmed 0% duplicates and 100% fill rate on all core marketplace fields (listingId, title, price, location, shippingAvailable, images, listingUrl). Tuned fast 60-listing prefill for sub-minute runs.
1.0.0	2026-06	Initial release — Multi-keyword OfferUp search, US residential session warmup & rotation, price/condition/delivery filters, and optional detail-page enrichment.