Scrape OfferUp seller storefronts (/p/<userId>), complete dealer inventories, verified business phone numbers, websites, physical addresses, opening hours, and Google reviews. From $0.80/1k.
{
"listingId": "d9f7c56b-a931-35e1-a286-12f83fa44589",
"url": "https://offerup.com/item/detail/d9f7c56b-a931-35e1-a286-12f83fa44589",
"title": "2019 BMW X4",
"price": 23995.0,
"status": "LISTED",
"locationName": "Houston, TX",
"latitude": 29.7301361,
"longitude": -95.643225,
"isVehicle": true,
"vehicleMiles": 103937,
"sellerId": "170778807",
"sellerProfileUrl": "https://offerup.com/p/170778807",
"sellerName": "Crown Auto Sales 2",
"sellerPhone": "8329604446",
"sellerWebsite": "https://crownautosalestx.com/aboutus",
"sellerAddress": "2737 S Texas 6, Houston, TX 77082, USA",
"sellerBio": "Welcome to Crown Auto Sales! Our virtual showroom is stocked with a wide selection of vehicles...",
"sellerLastActive": "Active in the last day",
"isDealer": true,
"isAutosDealer": true,
"isSubPrimeDealer": false,
"sellerBadges": [
"Confirmed phone",
"Confirmed email"
],
"sellerOpeningHours": "Monday: 9:00 AM–7:00 PM | Tuesday: 9:00 AM–7:00 PM | Wednesday: 9:00 AM–7:00 PM | Thursday: 9:00 AM–7:00 PM | Friday: 9:00 AM–7:00 PM | Saturday: 9:00 AM–7:00 PM | Sunday: Closed",
"sellerGoogleReviewRating": 4.0
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
extracts sellerPhone (c2cPhoneNumber), sellerEmail, sellerWebsite, sellerAddress (formatted street address + lat/lng), sellerOpeningHours, and sellerBadges (Confirmed phone, Confirmed email, TruYou).
extracts sellerRating, sellerReviewCount, sellerItemsSold, sellerGoogleReviewRating, and sellerGoogleReviewsSample (full customer review texts).
when scraping /p/<userId> seller profiles, full seller contact details AND storefront listings (title, price, status, vehicleMiles, imageUrls) are captured in Fast Mode (scrapeDetails: false — only $0.80 /...
leave sellerIds blank and enable scrapeDetails: true to discover auto dealerships (isAutosDealer: true) and high-volume local merchants in any US metro area.
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 = {
"sellerIds": ["170778807"],
"startUrls": [],
"zipCode": "77082",
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "US"
}
}
run = client.actor("unitbytes/offerup-seller-inventory-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("title"), item.get("locationName"), item.get("sellerName"))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.
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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.
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