# OfferUp Scraper | Listings, Prices and Sellers (`silentflow/offerup-scraper`) Actor OfferUp scraper for US marketplace listings: search by keyword and ZIP code or city, get price, condition, description, photos, distance, seller rating, items sold, phone and address, plus VIN, mileage and title status on cars. 100 listings in 41 seconds, 43 fields each, no OfferUp account. - **URL**: https://apify.com/silentflow/offerup-scraper.md - **Developed by:** [SilentFlow](https://apify.com/silentflow) (community) - **Categories:** Other, E-commerce, Lead generation - **Features:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.70 / 1,000 listings This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## OfferUp Scraper | US Marketplace Listings, Sellers and Car Data (2026) **Every OfferUp listing around any US ZIP code or city, as one complete row: the full listing, the seller's track record and contact, and the full vehicle record on cars. 100 listings in 41 seconds from one keyword and one ZIP code.** ### Why choose this actor? Opening OfferUp listings one by one to see if the seller has ever sold anything? Copying a dealer's phone number from each car page? Running the same search again and again for every city you buy in? - The seller's track record and contact on every row. Each row carries how many items the seller has sold (`sellerItemsSold`) and bought, how fast they answer (`sellerResponseTime`), and, when the seller publishes them, their phone (`sellerPhone`) and street address (`sellerAddress`). In our default run (iphone 15 around New York 10001), 88 of the 100 rows came from sellers with past sales (median 262 items sold, up to 2,589), 58 carried the response time, 32 the seller's phone and 34 a street address. You call the store with 2,062 sales first, and skip the account created last week. - A seller's whole inventory from one profile link. Paste `offerup.com/p/` and get every listing that seller has, sold items included, each with its full detail. A San Diego car dealer's profile gave 57 listings in 24 seconds, 5 of them already sold, with VIN, mileage, phone, website and showroom address. Watch a competitor's stock or a reseller's sold prices without scrolling their profile. - A radius in miles and the distance on every row. Set how far around each ZIP code or city to look (`radiusMiles`), and every row comes back with `distanceMiles`, its straight-line distance from the place you searched. In our default run, all 100 rows carried it, 37 of them within 10 miles of 10001; around Los Angeles and Chicago with a 20-mile radius, 400 furniture rows came back, the farthest at 21.1 miles. Sort by distance and start with what you can pick up today. ### Try your first 100 listings Paste this input in the **Input** tab, or keep the prefilled form, and press **Start**: ```json { "keywords": ["iphone 15"], "locations": ["10001"] } ``` You get 100 iPhone 15 listings within 30 miles of New York 10001, each read from its own listing page: title, price, condition, full description, category path, every photo, posting date, city, state, ZIP code and coordinates, the distance from 10001 in miles, and the seller's name, rating, reviews, items sold, response time, join date, business status, phone and address when published. That is 100 rows in 41 seconds in our run, from 22 different towns, with 12 price drops already computed. Swap the keyword for what you buy or sell, and the ZIP code for your market. The Apify Free plan is enough to try it: no credit card, no OfferUp account, nothing to install. ![How it works](https://api.apify.com/v2/key-value-stores/YXm81xySHg6uRkewS/records/offerup-scraper-how-it-works-v1.png) ### Copy to your AI assistant Paste this block into Claude, ChatGPT or Cursor to give it full context about this scraper: ``` You have access to the OfferUp Scraper on Apify: silentflow/offerup-scraper It reads public listings from OfferUp (offerup.com, United States only) without any OfferUp account. Every row is one listing, read from its listing page. Input (no field is required; give at least one keyword, one OfferUp address, or a category): - keywords (array of strings): what to search, one keyword per line (iphone 15, sectional sofa, toyota tacoma) - startUrls (array of strings): offerup.com addresses or IDs: a search URL with its filters (offerup.com/search?q=...&PRICE_MAX=...), a category page (offerup.com/c/cars-and-trucks), a listing (offerup.com/item/detail/) or its uuid, a seller profile (offerup.com/p/) or the seller's number (whole inventory, sold items included) - locations (array of strings, default ["10001"]): US ZIP codes or cities ("Austin, TX") or "lat,lon"; every keyword runs once per place - radiusMiles (integer, default 30): search radius around each place - maxItems (integer, default 100): stop after this many listings in total - category (string): an OfferUp category id (5.1), slug (cars-and-trucks) or name (Furniture, Golf clubs) - minPrice, maxPrice (integer, USD) - condition (array): new, open_box, reconditioned, used, for_parts, other - sort (string, default relevance): relevance, newest, closest, price_asc, price_desc - postedWithinHours (integer): only listings posted in the last N hours, newest first Output, one row per listing (67 fields), null when OfferUp has no value: - id, url, title, description, condition, category, categoryPath, categoryId, attributes (object) - status (listed, sold...), isFirmPrice, isGoodDeal - price, originalPrice, priceDropPercent, currency (USD) - sellerId, sellerName, sellerUrl, sellerRating, sellerReviewsCount, sellerItemsSold, sellerItemsPurchased, sellerResponseTime, sellerJoinedAt, sellerLastActive, sellerIsVerified, sellerIsBusiness, sellerIsDealer, sellerPhone (E.164), sellerWebsite, sellerAddress, sellerAvatarUrl - vehicleYear, vehicleMake, vehicleModel, vehicleTrim, vehicleMiles, vehicleVin, vehicleTitleStatus, vehicleTransmission, vehicleDrivetrain, vehicleFuelType, vehicleBody, vehicleColor, vehicleCylinders, vehicleMpgCity, vehicleMpgHighway, vehicleHistoryReportUrl (vehicle listings only) - locationName, city, state, zipCode, latitude, longitude, distanceMiles (from the searched place) - isLocalPickup, isShippingAvailable, postedAt, updatedAt (RFC 3339 UTC) - imageUrl, images (array), imagesCount, videoUrl - searchQuery, searchLocation, scrapedAt Use apify-client for Python or JavaScript, or call the actor through the Apify API. ``` ### How to scrape OfferUp listings #### Get every iPhone 15 for sale within 10 miles of Manhattan ```json { "keywords": ["iphone 15"], "locations": ["10001"], "radiusMiles": 10, "maxItems": 150 } ``` The simplest run: one keyword, one ZIP code, a tighter radius. Sort the dataset by `distanceMiles` to see what you can pick up today, or by `sellerItemsSold` to buy from sellers with a history. #### Find used furniture under 500 dollars posted this week in two cities ```json { "keywords": ["sectional sofa", "dining table"], "locations": ["Los Angeles, CA", "60601"], "radiusMiles": 20, "category": "Furniture", "maxPrice": 500, "condition": ["used", "new"], "postedWithinHours": 168, "maxItems": 200 } ``` Two keywords times two places, limited to OfferUp's Furniture category, under 500 dollars, used or new, posted in the last 7 days. Results come newest first and each search stops once listings get older than the cutoff. #### Source private-seller Toyotas from 2015 or newer around Austin ```json { "startUrls": [ "https://offerup.com/search?q=toyota&cid=5.1&SELLER_TYPE=C2C&VEH_YEAR_MIN=2015&zipcode=78701" ], "maxItems": 100 } ``` Build the search on offerup.com with the car filters you want (make, year, mileage, dealer or private seller), copy the address and paste it. In our run, this exact URL gave 100 Toyotas from 2015 to 2025 in 41 seconds, 96 from private sellers, with the title status on 68 of them (52 clean, 10 rebuilt, 4 salvage, 2 with a lien), the mileage on 71 and the distance from Austin on all 100. ### Input parameters | Parameter | Type | Default | What it does | |---|---|---|---| | `keywords` | array of strings | prefilled `iphone 15` | What to search, one keyword per line. Each keyword runs in every place. | | `startUrls` | array of strings | none | OfferUp addresses or IDs: search URLs with their filters, category pages, listings, seller profiles. | | `locations` | array of strings | `10001` | US ZIP codes, cities (`Austin, TX`) or `lat,lon`. Each keyword runs once per place. | | `radiusMiles` | integer | 30 | How far around each place to look, in miles. | | `maxItems` | integer | 100 | Stop after this many listings across all searches. | | `category` | string | any | One OfferUp category, picked from the list or typed by name, slug or id. Alone, it lists that whole category. | | `minPrice` | integer | none | Only listings priced at or above this amount in USD. | | `maxPrice` | integer | none | Only listings priced at or below this amount in USD. | | `condition` | array | any | `new`, `open_box`, `reconditioned`, `used`, `for_parts`, `other`. Several combine. | | `sort` | string | `relevance` | `relevance`, `newest`, `closest`, `price_asc`, `price_desc`. | | `postedWithinHours` | integer | any | Only listings posted in the last N hours; results then come newest first. | **Accepted formats.** A place is a 5-digit ZIP code (`94103`, `94103-1234` is read as `94103`), a city with or without its state (`Austin, TX`, `los angeles`) or coordinates (`30.2672,-97.7431`). A start entry is any of: - a search URL: `https://offerup.com/search?q=sofa&PRICE_MAX=300&CONDITION=USED` - a category page: `https://offerup.com/c/cars-and-trucks` - a listing: `https://offerup.com/item/detail/d394c32f-c270-3d91-8fdd-9973f4b0ec71` or the bare ID `d394c32f-c270-3d91-8fdd-9973f4b0ec71` - a seller profile: `https://offerup.com/p/53080967` or the bare number `53080967` Filters written in a pasted URL win over the form filters for that URL. A search URL that carries its own ZIP code or coordinates runs there only; one without a place runs in every place of `locations`. A category is accepted as an id (`5.1`), a slug (`cars-and-trucks`), a name (`Cars & Trucks`, `Golf clubs`) or a path (`Vehicles > Cars & Trucks`): all 1,244 OfferUp categories can be typed, the 151 main ones are in the list. ### What data can you extract from OfferUp? Each row is one OfferUp listing with 67 fields, grouped the way you read them: | Group | Fields | |---|---| | Identity | `id` (OfferUp's listing ID), `url` (permanent listing address), `title` | | Listing | `description` (full text), `condition` (as the seller declared it), `category`, `categoryPath`, `categoryId`, `attributes` (brand, model, storage, size, color, options... when the seller filled them), `status` (`listed`, `sold`), `isFirmPrice`, `isGoodDeal` | | Price | `price` and `currency` (USD), `originalPrice` and `priceDropPercent` when the seller lowered the price | | Seller (17 fields) | `sellerId`, `sellerName`, `sellerUrl`, `sellerRating`, `sellerReviewsCount`, `sellerItemsSold`, `sellerItemsPurchased`, `sellerResponseTime`, `sellerJoinedAt`, `sellerLastActive`, `sellerIsVerified`, `sellerIsBusiness`, `sellerIsDealer`, `sellerPhone`, `sellerWebsite`, `sellerAddress`, `sellerAvatarUrl` | | Vehicle (16 fields) | `vehicleYear`, `vehicleMake`, `vehicleModel`, `vehicleTrim`, `vehicleMiles`, `vehicleVin`, `vehicleTitleStatus`, `vehicleTransmission`, `vehicleDrivetrain`, `vehicleFuelType`, `vehicleBody`, `vehicleColor`, `vehicleCylinders`, `vehicleMpgCity`, `vehicleMpgHighway`, `vehicleHistoryReportUrl` | | Place and time | `locationName`, `city`, `state`, `zipCode`, `latitude`, `longitude`, `distanceMiles`, `isLocalPickup`, `isShippingAvailable`, `postedAt`, `updatedAt` | | Media | `imageUrl` (first photo, full size), `images` (every photo), `imagesCount`, `videoUrl` | | Meta | `searchQuery`, `searchLocation` (which keyword and place found the row), `scrapedAt` | **Good to know about the data.** - `id` and `url` are stable for as long as the listing exists. A removed listing simply stops appearing; a listing that sold keeps its row in the seller's inventory with `status` set to `sold`. - Dates are RFC 3339 in UTC (`2026-11-06T15:17:48Z`). `sellerJoinedAt` is the day the account was created; `sellerLastActive` and `sellerResponseTime` are OfferUp's own wording ("Active in the last day", "Responds in a few minutes"). - `sellerPhone` is in international format (`+13472379108`) and only exists when the seller publishes a number on OfferUp, which is mostly stores and car dealers. In our default run, 39 of the 100 rows came from business accounts and 32 carried a phone. - `latitude` and `longitude` are the approximate area OfferUp shows for a listing, not a street address. `distanceMiles` is the straight-line distance from the place you searched, so a listing at 11.7 miles is in the next town, not 11.7 miles of driving. - The vehicle fields are filled on OfferUp's vehicle categories (cars and trucks, motorcycles, RVs, boats, trailers) and stay `null` elsewhere. `vehicleTitleStatus` reads `clean`, `rebuilt`, `salvage` or `lien`. - Photo addresses are OfferUp's image links at full size; they stay valid while the listing is online. Download the ones you need to keep. #### Output example A real row from the default run (iphone 15 around 10001): ```json { "id": "baac095b-099b-315f-906a-34a5736f020a", "url": "https://offerup.com/item/detail/baac095b-099b-315f-906a-34a5736f020a", "title": "iPhone 15 128GB Factory Unlocked", "description": "iPhone 15 128GB Factory Unlocked \n\nBattery health:88%\n\nIt’s a store pickup only!!", "condition": "Used (normal wear)", "category": "Cell phones & Accessories", "categoryPath": "Electronics & Media > Cell phones & Accessories", "categoryId": "1.2", "attributes": {}, "status": "listed", "isFirmPrice": false, "isGoodDeal": false, "price": 500, "originalPrice": null, "priceDropPercent": null, "currency": "USD", "sellerId": "29428444", "sellerName": "Throggs Neck Wireless & ELEC", "sellerUrl": "https://offerup.com/p/29428444", "sellerRating": 5, "sellerReviewsCount": 180, "sellerItemsSold": 2062, "sellerItemsPurchased": 133, "sellerResponseTime": "Responds in a few minutes", "sellerJoinedAt": "2017-05-26T00:37:53Z", "sellerLastActive": "Active in the last day", "sellerIsVerified": true, "sellerIsBusiness": true, "sellerIsDealer": false, "sellerPhone": "+13472379108", "sellerWebsite": null, "sellerAddress": "3651 E Tremont Ave, Bronx, NY 10465, USA", "sellerAvatarUrl": "https://images.offerup.com/5XG1hhO4OfzJiaPU6mQiaioJ-vQ=/100x100/smart/a7e7/a7e7c65e-e6c4-4e2f-a15b-7e820e2f0521.jpg", "vehicleYear": null, "vehicleMake": null, "vehicleModel": null, "vehicleTrim": null, "vehicleMiles": null, "vehicleVin": null, "vehicleTitleStatus": null, "vehicleTransmission": null, "vehicleDrivetrain": null, "vehicleFuelType": null, "vehicleBody": null, "vehicleColor": null, "vehicleCylinders": null, "vehicleMpgCity": null, "vehicleMpgHighway": null, "vehicleHistoryReportUrl": null, "locationName": "The Bronx, NY", "city": "The Bronx", "state": "NY", "zipCode": "10475", "latitude": 40.869, "longitude": -73.834, "distanceMiles": 11.7, "isLocalPickup": true, "isShippingAvailable": false, "postedAt": "2026-10-09T17:13:38Z", "updatedAt": null, "imageUrl": "https://images.offerup.com/PffZXkA7u37eFL3-Rb4Qr5E_rKo=/960x1280/20a4/20a4c21a23e1414fa0e9feebb24b0a0c.jpg", "images": [ "https://images.offerup.com/PffZXkA7u37eFL3-Rb4Qr5E_rKo=/960x1280/20a4/20a4c21a23e1414fa0e9feebb24b0a0c.jpg", "https://images.offerup.com/cQxyf7_AjHjjxNZtTI_tmycOl2Y=/960x1280/e610/e610a273bd294017a8093d6a65a0df75.jpg", "https://images.offerup.com/itzWW8yWsicyZP6IWExhhWT6j4s=/960x1280/26be/26bea8bf08f04c6282f9f55cc3884bc4.jpg", "https://images.offerup.com/GiAdO2jzYxQemqP_2tNrnpuWL5Q=/960x1280/2019/2019d51d710c47bb92d7ea803a8512b9.jpg", "https://images.offerup.com/TsI66ECYeiMF2Vlm9pSQ8kcN5Lk=/960x1280/4e96/4e96ddd3beec468bb24ec640d968a27a.jpg", "https://images.offerup.com/iwwg9mpUNEVQokd3DdOaykPM2Nc=/960x1280/ae1d/ae1d68bf795141358c6bae5e983e233e.jpg" ], "imagesCount": 6, "videoUrl": null, "searchQuery": "iphone 15", "searchLocation": "New York, NY 10001", "scrapedAt": "2026-11-08T14:30:34Z" } ``` The `sellers` view of the dataset shows the same rows from the seller side (rating, reviews, items sold, response time, business, phone, address), and the `vehicles` view lines up year, make, model, trim, mileage, title status and VIN for car searches. ### Advanced usage #### Get only what was posted since yesterday, every morning ```json { "keywords": ["ps5", "nintendo switch", "steam deck"], "locations": ["Houston, TX"], "radiusMiles": 25, "postedWithinHours": 24, "maxItems": 300 } ``` Schedule this run daily in Apify. Each search reads newest first and stops at the first page that is entirely older than 24 hours, so you only receive the new stock. Compare `price` with your buy price and act on the cheapest ones first. #### Watch a competitor's whole inventory, sold items included ```json { "startUrls": [ "https://offerup.com/p/53080967", "https://offerup.com/p/63289412" ], "maxItems": 500 } ``` One profile link per seller you track. Every listing comes back with its price, its `status` (`listed` or `sold`) and its posting date, so two runs a week apart show what sold, what was added and what dropped in price (`originalPrice`, `priceDropPercent`). #### Build a list of phone and electronics stores with their phone numbers ```json { "keywords": ["unlocked iphone", "samsung galaxy", "ipad"], "locations": ["10001", "Los Angeles, CA", "Miami, FL", "Houston, TX"], "radiusMiles": 30, "maxItems": 600 } ``` Open the `sellers` view, keep the rows where `sellerIsBusiness` is true, and remove duplicates on `sellerId`: you get each store with its name, phone, street address, rating, reviews and items sold. In our default run, a single keyword around one ZIP code already surfaced stores with 2,062 and 2,589 items sold. #### Compare used-car prices from private sellers in three markets ```json { "startUrls": [ "https://offerup.com/search?q=honda%20civic&cid=5.1&SELLER_TYPE=C2C&VEH_YEAR_MIN=2018" ], "locations": ["78701", "85001", "30301"], "radiusMiles": 50, "maxItems": 300 } ``` The search URL carries the car filters and no place, so it runs once around each ZIP code. Group the rows by `searchLocation` and `vehicleYear`, and compare `price` against `vehicleMiles` and `vehicleTitleStatus` to see where a clean-title Civic is cheapest. #### List a whole category with no keyword ```json { "category": "Tools & Machinery", "locations": ["Chicago, IL"], "radiusMiles": 50, "sort": "newest", "maxItems": 200 } ``` A category alone browses it around each place, newest first here. Useful to watch a niche (tools, appliances, bikes, trading cards) without guessing keywords. Any of OfferUp's 1,244 categories can be typed by name. ### FAQ **What is OfferUp?** OfferUp is a large US marketplace app for buying and selling locally, the main alternative to Facebook Marketplace and Craigslist, with a big section of cars and trucks from private sellers and dealers. Listings are tied to a place, which is why every search here runs around a ZIP code or a city. **Do I need an OfferUp account?** No. The actor reads what OfferUp shows to any visitor who is not logged in. No login, no API key, nothing to install. **Which places can I search?** Anywhere in the United States, typed as a ZIP code (`10001`), a city (`Austin, TX`) or coordinates. OfferUp is a US marketplace; places outside the US return nothing useful. With no place, the actor searches around New York 10001. **How many listings can one search return?** A popular keyword goes deep: in our test, `iphone` around 10001 kept returning new listings past 1,600 results. Set `maxItems` to what you need; each listing is one row with its full detail. **Can I combine filters?** Yes, they all apply together. For example `keywords: ["sectional sofa"]`, `category: "Furniture"`, `maxPrice: 500`, `condition: ["used"]` and `postedWithinHours: 48` returns used sectionals in the furniture category, under 500 dollars, posted in the last two days, around each place you listed. For filters the form does not show (car make, year, mileage, dealer or private seller), set them on offerup.com and paste the search address. **Why do some rows have no phone or address?** OfferUp only shows a phone number, a website and a street address for sellers who publish them, mostly stores and car dealers. Private sellers are reached through OfferUp's chat, and their rows keep `sellerPhone` and `sellerAddress` as `null`. The rest of the row (description, condition, seller rating, items sold) is filled the same way. **How fresh is the data?** Every run reads OfferUp live, at the time of the run, with no cache. Schedule the actor (hourly, daily) to follow new listings and price drops. **Does it return sold listings?** Searches return what is for sale, as on the site. A seller's profile returns the whole inventory, sold items included, with `status: "sold"`; in our dealer test, 5 of the 57 listings were already sold. **How is the distance computed?** `distanceMiles` is the straight-line distance between the place you searched and the approximate location OfferUp shows for the listing, rounded to a tenth of a mile. It is empty on rows that come from a listing link or a seller profile, since no place was searched. **Can I run several keywords and cities at once?** Yes. Every keyword runs in every place, and a listing found twice (two keywords, overlapping areas) is saved once. `searchQuery` and `searchLocation` tell you which search found each row. **Which category names can I type?** Any of OfferUp's 1,244 categories, by name (`Golf clubs`, `Sectionals`, `Cars & Trucks`), by its address (`offerup.com/c/cars-and-trucks`) or by its id (`5.1`). 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**ImportYeti** - [ImportYeti Scraper | Suppliers, Importers and Bills of Lading](https://apify.com/silentflow/importyeti-scraper) - **Naver** - [Naver Reviews Scraper | Shopping Product Reviews](https://apify.com/silentflow/naver-reviews-scraper) - **Udemy Course** - [Udemy Course Scraper](https://apify.com/silentflow/udemy-scraper-ppe) - **Keepa** - [Keepa Scraper | Amazon Price History and Offers](https://apify.com/silentflow/keepa-scraper) - **Amazon Seller** - [Amazon Seller Scraper | Emails, Phones and Ratings](https://apify.com/silentflow/amazon-seller-scraper) - **Coupang** - [Coupang Detail Scraper | Product Prices and Options](https://apify.com/silentflow/coupang-detail-scraper) - **Naver** - [Naver Products Scraper | Shopping Prices, Sellers and Ratings](https://apify.com/silentflow/naver-products-scraper) - **1688** - [1688 Scraper | Products, Reviews, Details, Wholesale Prices](https://apify.com/silentflow/1688-scraper) - **Taobao** - [Taobao Scraper | Products, Details, Prices and Sellers](https://apify.com/silentflow/taobao-scraper) - **Avito** - [Avito Scraper | Listings, Prices and Sellers](https://apify.com/silentflow/avito-scraper) - **Pinterest** - [Pinterest Scraper](https://apify.com/silentflow/pinterest-scraper) - **Store Leads Ecommerce** - [Store Leads Ecommerce Scraper](https://apify.com/silentflow/storeleads-scraper) - **Store Leads** - [Store Leads Scraper | Shopify Data](https://apify.com/silentflow/storeleads-scraper-ppe) - **Bring a Trailer** - [Bring a Trailer Scraper](https://apify.com/silentflow/bringatrailer-scraper) - **Ctrip** - [Ctrip Scraper | Attractions, Tickets and Reviews](https://apify.com/silentflow/ctrip-scraper) - **Eventim** - [Eventim Scraper | Events, Ticket Prices and Venues](https://apify.com/silentflow/eventim-scraper) - **Leboncoin** - [Leboncoin Scraper](https://apify.com/silentflow/leboncoin-scraper) - **Lowes** - [Lowes Products Scraper | Prices, Stock and Specs](https://apify.com/silentflow/lowes-products-scraper) - **Alibaba** - [Alibaba Products Scraper | Wholesale Prices and MOQ](https://apify.com/silentflow/alibaba-products-scraper) - 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**Reddit** - [Reddit Profiles Scraper | User Karma, Activity and Communities](https://apify.com/silentflow/reddit-profiles-scraper) - **Skool Community** - [Skool Community Scraper](https://apify.com/silentflow/skool-scraper-ppe) - **Telegram** - [Telegram Posts Scraper | Views, Reactions and Comments](https://apify.com/silentflow/telegram-posts-scraper) - **Telegram** - [Telegram Scraper | Channel Posts, Views and Reactions](https://apify.com/silentflow/telegram-scraper) - **TikTok Lookalike** - [TikTok Lookalike Scraper | Influencers, Emails and Engagement](https://apify.com/silentflow/tiktok-lookalike-scraper) - **Twitch** - [Twitch Contacts Scraper | Emails and Social Links](https://apify.com/silentflow/twitch-contacts-scraper) - **Twitch** - [Twitch Scraper | Streamers, Emails and Clips](https://apify.com/silentflow/twitch-scraper) - **YouTube Autocomplete** - [YouTube Autocomplete Scraper | Keyword Suggestions](https://apify.com/silentflow/youtube-autocomplete-scraper) - **Facebook** - [Facebook Company Scraper | Emails, Phones, Ratings](https://apify.com/silentflow/facebook-company-scraper) - **Instagram Engagement** - [Instagram Engagement Scraper](https://apify.com/silentflow/instagram-engagement-scraper) - **OnlyFans** - [OnlyFans Profiles Scraper | Creator Prices, Stats & Links](https://apify.com/silentflow/onlyfans-profiles-scraper) - **OnlyFans** - [OnlyFans Creator Scraper](https://apify.com/silentflow/onlyfans-scraper) - **Reddit** - [Reddit Scraper | Comments, Posts and Users](https://apify.com/silentflow/reddit-scraper-ppr) - **RedNote** - [RedNote Detail Scraper | Xiaohongshu Details, Images, Videos](https://apify.com/silentflow/rednote-detail-scraper) - **Skool Group** - [Skool Group Scraper](https://apify.com/silentflow/skool-scraper) - **Snapchat** - [Snapchat Ads Scraper | Ad Library, Impressions & Targeting](https://apify.com/silentflow/snapchat-ads-scraper) - **Telegram** - [Telegram Comments Scraper | Replies, Authors and Reactions](https://apify.com/silentflow/telegram-comments-scraper) - **Weibo** - [Weibo Scraper | Posts, Profiles, Followers and Engagement](https://apify.com/silentflow/weibo-scraper) - **X Timeline** - [X Timeline Scraper | Tweets and Engagement Stats](https://apify.com/silentflow/x-timeline-scraper) - **Xigua** - [Xigua Scraper | Videos, Creators and Downloads](https://apify.com/silentflow/xigua-scraper) - **YouTube** - [YouTube Transcript Scraper](https://apify.com/silentflow/youtube-transcript-scraper) **🏒 Business data** - **LinkedIn Company Search** - [LinkedIn Company Search Scraper | Profiles & Firmographics](https://apify.com/silentflow/linkedin-profiles-companies-scraper) - **Teachable Course** - [Teachable Course Scraper](https://apify.com/silentflow/teachable-scraper) - **Website Tech Stack** - [Website Tech Stack Scraper](https://apify.com/silentflow/website-tech-stack-scraper) - **Teachable - Courses, Prices & Instructors** - [Teachable Scraper - Courses, Prices & Instructors](https://apify.com/silentflow/teachable-scraper-ppr) - **Trustpilot** - [Trustpilot Scraper | Reviews, Ratings and Company Contacts](https://apify.com/silentflow/trustpilot-enricher) **✈️ Travel** - **Tencent** - [Tencent Scraper | Maps Places, Phones and Ratings](https://apify.com/silentflow/tencent-scraper) - **Viator** - [Viator Reviews Scraper | Tour Reviews and Ratings](https://apify.com/silentflow/viator-reviews-scraper) - **2GIS** - [2GIS Reviews Scraper | Ratings, Photos and Owner Replies](https://apify.com/silentflow/2gis-reviews-scraper) - **Apple Maps** - [Apple Maps Scraper | Places, Phones and Emails](https://apify.com/silentflow/apple-maps-scraper) - **Booking.com Hotel** - [Booking.com Hotel Scraper](https://apify.com/silentflow/booking-scraper-ppr) - **Despegar** - [Despegar Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/despegar-reviews-scraper) - **Flight Price** - [Flight Price Scraper](https://apify.com/silentflow/flight-price-scraper) - **Kakao** - [Kakao Scraper | Map Places, Reviews and Phones](https://apify.com/silentflow/kakao-scraper) - **Mafengwo** - [Mafengwo Scraper | Attractions, Ratings and Tickets](https://apify.com/silentflow/mafengwo-scraper) - **OpenTable** - [OpenTable Reviews Scraper | Restaurant Reviews and Ratings](https://apify.com/silentflow/opentable-reviews-scraper) - **TheFork** - [TheFork Scraper | Restaurants, Menus and Ratings](https://apify.com/silentflow/thefork-scraper) - **Trip** - [Trip Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/trip-reviews-scraper) - **Zomato** - [Zomato Reviews Scraper | Restaurant Ratings and Replies](https://apify.com/silentflow/zomato-reviews-scraper) - **Booking** - [Booking Scraper | Hotel Prices, Photos, Availability](https://apify.com/silentflow/booking-scraper) - **Google Maps** - [Google Maps Scraper](https://apify.com/silentflow/google-maps-scraper) **🎯 Lead generation** - **Northdata** - [Northdata Company Scraper](https://apify.com/silentflow/northdata-scraper) - **Dealroom** - [Dealroom Scraper | Companies and Investors](https://apify.com/silentflow/dealroom-scraper-ppe) - **UK Companies House** - [UK Companies House Enricher](https://apify.com/silentflow/uk-companies-house-enricher) - **ZocDoc** - [ZocDoc Scraper | Doctors, Reviews and Availability](https://apify.com/silentflow/zocdoc-scraper-ppr) - **PagesJaunes** - [PagesJaunes Scraper | French Business Emails and SIRET](https://apify.com/silentflow/pagesjaunes-scraper) - **SIRET** - [SIRET Company Enricher](https://apify.com/silentflow/siret-enricher-ppr) - **BuiltWith** - [BuiltWith Scraper | Tech Stacks and Top Sites](https://apify.com/silentflow/builtwith-scraper) - **Similarweb** - [Similarweb Scraper | Website Traffic, Rankings and Competitors](https://apify.com/silentflow/similarweb-scraper) - **Dealroom Startup Data** - [Dealroom Startup Data Scraper](https://apify.com/silentflow/dealroom-scraper) - **Justdial** - [Justdial Companies Scraper | Business Leads, Phones and Emails](https://apify.com/silentflow/justdial-companies-scraper) - **KVK** - [KVK Scraper | Dutch Companies and SBI Codes](https://apify.com/silentflow/kvk-scraper) - **PagesJaunes** - [PagesJaunes Business Scraper](https://apify.com/silentflow/pagesjaunes-scraper-ppr) - **ThomasNet Suppliers** - [ThomasNet Suppliers Scraper](https://apify.com/silentflow/thomasnet-scraper) - **ALEO** - [ALEO Scraper | Polish Companies and Financials](https://apify.com/silentflow/aleo-scraper) - **BBB** - [BBB Scraper | Ratings, Reviews and Complaints](https://apify.com/silentflow/bbb-scraper) - **Clutch** - [Clutch Scraper | Agencies, Reviews, Ratings, Services](https://apify.com/silentflow/clutch-scraper) - **CNPJ Brazilian** - [CNPJ Brazilian Company Enricher](https://apify.com/silentflow/cnpj-enricher) - **Company Data** - [Company Data Scraper | Emails, Phones and Tech Stack](https://apify.com/silentflow/company-data-scraper) - **CSLB** - [CSLB Scraper | Contractor Licenses, Bonds and Leads](https://apify.com/silentflow/cslb-scraper) - **Delaware** - [Delaware Scraper | Corporations, LLCs and Registered Agents](https://apify.com/silentflow/delaware-scraper) - **French Company Prospector** - [French Company Prospector](https://apify.com/silentflow/french-company-prospector) - **G2** - [G2 Reviews Scraper](https://apify.com/silentflow/g2-review-intelligence) - **Paginasamarillas** - [Paginasamarillas Scraper | Business Leads, Emails and Phones](https://apify.com/silentflow/paginasamarillas-scraper) - **Pappers** - [Pappers Scraper | French Companies, Directors & Financials](https://apify.com/silentflow/pappers-scraper) - **SEC** - [SEC Scraper | EDGAR Filings and Company Data](https://apify.com/silentflow/sec-scraper) - **SoftwareAdvice** - [SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons](https://apify.com/silentflow/softwareadvice-scraper) - **Sunbiz** - [Sunbiz Companies Scraper | New Florida Business Leads](https://apify.com/silentflow/sunbiz-companies-scraper) - **Sunbiz** - [Sunbiz Scraper | Florida Companies and Officers](https://apify.com/silentflow/sunbiz-scraper) - **TrustRadius** - [TrustRadius Reviews Scraper | Ratings, Pros and Cons](https://apify.com/silentflow/trustradius-reviews-scraper) - **USPTO** - [USPTO Scraper | Trademark Search and Status](https://apify.com/silentflow/uspto-scraper) - **Clutch Agency** - [Clutch Agency Scraper](https://apify.com/silentflow/clutch-scraper-ppe) - **Domain** - [Domain Enricher](https://apify.com/silentflow/domain-enricher) - **Google Ads Transparency** - [Google Ads Transparency Scraper](https://apify.com/silentflow/google-ads-transparency-scraper) - **SIRET French** - [SIRET French Company Enricher](https://apify.com/silentflow/siret-enricher) - **ZocDoc** - [ZocDoc Scraper](https://apify.com/silentflow/zocdoc-scraper) **πŸ”Ž SEO** - **SpyFu** - [SpyFu Scraper | SEO, PPC and Competitor Data](https://apify.com/silentflow/spyfu-scraper) - **Scribd** - [Scribd Scraper | Documents, Authors and Views](https://apify.com/silentflow/scribd-scraper) - **Apple** - [Apple Reviews Scraper | App Store Reviews and Ratings](https://apify.com/silentflow/apple-reviews-scraper) - **Bing** - [Bing Enricher Scraper | Mobile Friendly Test and Indexing](https://apify.com/silentflow/bing-enricher-scraper) - **Google News** - [Google News Scraper](https://apify.com/silentflow/google-news-scraper) - **Yandexsearch** - [Yandexsearch Scraper | Search Results and Rankings](https://apify.com/silentflow/yandexsearch-scraper) **🎬 Video** - **Pexels** - [Pexels Scraper | Photos, Videos and Download Stats](https://apify.com/silentflow/pexels-scraper) **πŸ“° News** - **ForexFactory** - [ForexFactory Scraper | Economic Calendar and Forecasts](https://apify.com/silentflow/forexfactory-scraper) - **FT** - [FT Scraper | Financial Times Articles, Authors and Topics](https://apify.com/silentflow/ft-scraper) - **OpenAI** - [OpenAI Scraper | News, Blog Posts and Research](https://apify.com/silentflow/openai-scraper) **🧰 More tools** - **FanDuel** - [FanDuel Scraper | Odds, Spreads and Player Props](https://apify.com/silentflow/fanduel-scraper) - **PrizePicks** - [PrizePicks Scraper | Player Props, Lines and Projections](https://apify.com/silentflow/prizepicks-scraper) - **Equibase** - [Equibase Scraper | Horse Racing Entries and Results](https://apify.com/silentflow/equibase-scraper) - **Maersk** - [Maersk Scraper | Vessel Schedules and Port Calls](https://apify.com/silentflow/maersk-scraper) - **Screener** - [Screener Scraper | Stock Fundamentals, NSE & BSE](https://apify.com/silentflow/screener-scraper) ### Support Need something this scraper doesn't do yet? We ship features fast. - Feature requests go straight to our backlog - Enterprise needs? We do custom integrations and high-volume plans - Pricing questions? Check the Monetization tab on the actor page Response time: usually under 24 hours. ### Legal compliance This Actor extracts publicly available data from OfferUp, as shown to visitors who are not logged in. It does not bypass any login, paywall or CAPTCHA and never uses an OfferUp account. Users are responsible for complying with OfferUp's terms of service and applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Seller names, profile pictures, locations and, for stores and dealers, phone numbers and addresses are personal or business contact data: handle them accordingly, contact sellers only about their listings, keep only what you need, and honor removal requests. The data returned is informational; verify accuracy before any purchase or regulated use. *OfferUp Scraper by SilentFlow: every OfferUp listing around any US place, with its full detail, the seller's sales, response time and contact, and the vehicle record on cars, in one run.* # Actor input Schema ## `keywords` (type: `array`): What to search on OfferUp, one keyword per line (iphone 15, sectional sofa, toyota tacoma). Every keyword runs its own search in every location below, with the same filters, and the results are combined without duplicates. A popular keyword returns hundreds of listings around one ZIP code: set Max listings to what you need. ## `startUrls` (type: `array`): Paste offerup.com addresses, one per line:
  • a search with its filters (offerup.com/search?q=sofa\&PRICE_MAX=300), car filters included (make, year, mileage, dealer or private seller)
  • a category page (offerup.com/c/cars-and-trucks)
  • a listing (offerup.com/item/detail/…) or its bare ID
  • a seller profile (offerup.com/p/63289412) or the seller's number: the seller's whole inventory, sold items included
Filters written in a URL win over the filters below for that URL; a search URL without its own place runs in every location below. ## `locations` (type: `array`): Where to search, one place per line: a US ZIP code (10001) or a city (Austin, TX). Each keyword runs once per place and every row gets its distance in miles from that place. Leave empty to search around New York (10001). ## `radiusMiles` (type: `integer`): How far around each place to look, in miles. OfferUp's own steps are 5, 10, 20, 30 and 50 miles; cars and trucks go up to 200. A wider radius gives more listings, the closest ones first when sorted by distance. ## `maxItems` (type: `integer`): Stop after this many listings across all keywords, places and URLs. Each listing is one row with its full detail, so the run cost scales with this number. 100 listings take well under a minute. ## `category` (type: `string`): Keep one OfferUp category. Pick it from the list, or type any of OfferUp's 1,244 categories by name (Sectionals, Golf clubs). Alone, with no keyword, it lists that whole category around each place. ## `minPrice` (type: `integer`): Only listings priced at or above this amount in US dollars. Leave empty for no minimum; free items are priced 0. ## `maxPrice` (type: `integer`): Only listings priced at or below this amount in US dollars. Leave empty for no maximum. ## `condition` (type: `array`): Keep only these conditions, as the seller declared them. Pick several to combine them; leave empty for every condition. ## `sort` (type: `string`): The order OfferUp returns listings in. Newest first fits a monitoring schedule, Closest first a local buyer, the price orders a deal hunt. ## `postedWithinHours` (type: `integer`): Only listings posted in the last N hours (24 for the last day, 168 for the last week). Results then come newest first and each search stops at the first page that is entirely older, so a daily schedule reads only the new stock. Applies to keywords, search URLs, listings and seller inventories alike. Leave empty for any date. ## Actor input object example ```json { "keywords": [ "iphone 15" ], "locations": [ "10001" ], "radiusMiles": 30, "maxItems": 100, "sort": "relevance" } ``` # Actor output Schema ## `listings` (type: `string`): Every listing with id, url, title, description, condition, category, categoryPath, attributes, status, price, originalPrice, priceDropPercent, the seller fields, the vehicle fields, locationName, city, state, zipCode, latitude, longitude, distanceMiles, postedAt, updatedAt, images, searchQuery, searchLocation and scrapedAt. ## `sellers` (type: `string`): The same rows seen from the seller side: name, star rating, reviews, items sold, response time, business account, phone, address and profile link. ## `vehicles` (type: `string`): Cars, trucks and motorcycles with year, make, model, trim, mileage, title status (clean, rebuilt, salvage), VIN, dealer or private seller and location. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "iphone 15" ], "locations": [ "10001" ] }; // Run the Actor and wait for it to finish const run = await client.actor("silentflow/offerup-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["iphone 15"], "locations": ["10001"], } # Run the Actor and wait for it to finish run = client.actor("silentflow/offerup-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "iphone 15" ], "locations": [ "10001" ] }' | apify call silentflow/offerup-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/offerup-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/2y6CY1ccHL7xhcGqu/builds/fh99mXKby4g6orFcQ/openapi.json