Monitor OfferUp for fresh bargains, price drops, used electronics & phones, and batch-check listing status (LISTED vs SOLD) across any US ZIP code. From $0.80/1k.
{
"listingId": "9a781d60-e703-3486-9a62-2d713775362c",
"url": "https://offerup.com/item/detail/9a781d60-e703-3486-9a62-2d713775362c",
"title": "iPhone 15 Pro 256GB Unlocked",
"price": 450.0,
"originalPrice": 550.0,
"priceDropAmount": 100.0,
"priceDropPercent": 18.2,
"isFirmPrice": false,
"condition": "Open Box / Like New",
"status": "LISTED",
"categoryName": "Electronics & Media",
"subcategoryName": "Cell phones & Accessories",
"locationName": "Los Angeles, CA",
"localPickup": true,
"shippingAvailable": true,
"sellerName": "Maria",
"sellerItemsSold": 10
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
compares originalPrice vs. price and outputs exact priceDropAmount ($) and priceDropPercent (%) alongside isFirmPrice (negotiable vs. firm).
server-side conditionFilter lets you target for_parts (cracked/repair arbitrage), like_new (open-box flips), or new across Cell Phones (1.2), Computers (1.6), and Video Games (1.5), plus deliveryMethod (local...
pass a list of existing https://offerup.com/item/detail/<id> URLs in startUrls to verify in seconds whether items are still LISTED, marked SOLD, or removed (NOT_FOUND).
Engineered with resilient cloud proxy rotation and automatic session management.
Run programmatically in 3 lines of Python or paste our ready-made workflow JSON directly onto your n8n canvas.
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"searchQuery": "iphone 15 pro",
"zipCode": "90001",
"startUrls": [],
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US"
}
}
run = client.actor("unitbytes/offerup-deal-monitor-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("title"), item.get("categoryName"), item.get("subcategoryName"))Automate scheduled runs, normalize output fields, and pipe records directly into Google Sheets, Airtable, Slack, or OpenAI with zero code.
No. UnitBytes manages residential proxy rotation and automated request orchestration so you never need personal accounts or proxies.
All data can be downloaded in JSON, CSV, or Excel formats, or consumed directly via the Apify REST API and webhooks.
You only pay for successful records extracted under Apify Pay-Per-Event pricing, with zero monthly minimums or idle compute costs.
Yes. You can trigger runs via Apify API, Python/JavaScript clients, Make, Zapier, or scheduled cron workflows.
Read our complete technical architecture guide, pricing breakdown, and production Python examples.
Complementary extractors built for the same intelligence stack.
Scrape Facebook Marketplace vehicles (VIN, mileage, make/model), apartment rentals (beds, baths, sqft, walk score), seller profiles, and local deals across...
Scrape Craigslist search results across 700+ cities: cars, housing, jobs, electronics, furniture & free stuff.
Scrape Craigslist cars, trucks, motorcycles, RVs, boats, heavy equipment & auto parts by owner or dealer across 700+ cities.
Need custom enterprise data integration, dedicated data pipelines, or high-volume warehouse exports? Tell us what data you need and we will deliver clean Excel / CSV / Google Sheets datasets, set up automated S3/BigQuery feeds, or build a custom pipeline for your team.
Send us your search keywords, categories, or URLs. We run the extraction and email you a clean, ready-to-use Excel/CSV file within 24 hours.
Hands-free daily, weekly, or real-time monitoring pushed directly to Google Sheets, Amazon S3, BigQuery, Snowflake, or Webhook.
Need custom fields added or a brand-new website reverse-engineered? We build, host, and maintain dedicated anti-bot engines.
Our engineering team has received your specifications and will reply to your email within 12 hours. You can also send or follow up directly using any option below: