# Empire Flippers Scraper: Online Businesses for Sale & Sold (`steadyscrape/empire-flippers-scraper`) Actor Scrape Empire Flippers (empireflippers.com) listings of online businesses for sale and sold: asking price, SDE multiple, revenue, profit, monthly P\&L, traffic, niche, monetization, risks and reason for sale. Sold comps for valuations. Export data to JSON, CSV or Excel, or via API. - **URL**: https://apify.com/steadyscrape/empire-flippers-scraper.md - **Developed by:** [Steady Scrape](https://apify.com/steadyscrape) (community) - **Categories:** Business, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 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. 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 ## Empire Flippers Scraper — online businesses for sale and sold comps, with monthly P\&L and traffic This **Empire Flippers scraper** exports the listings of Empire Flippers (empireflippers.com), the curated marketplace of online businesses, as one clean row per business: **asking price, SDE multiple (annual and monthly), average monthly and annual revenue, expenses and net profit, profit margin, the monthly P\&L, monthly traffic by channel, niches, monetizations, first revenue date and age, days on the marketplace, hours of work a week, reason for sale, seller support, assets included, risks and opportunities** — plus TACoS, COGS and SKU counts for Amazon businesses and churn, LTV and MRR for SaaS. Get the businesses **for sale** now, the ones **pending sold**, or the **sold archive** (over 2,600 closed deals) as valuation comparables. - **Sold comps for valuations**: every sold listing with its asking price, multiple and 12 months of P\&L. Filter by monetization, niche, country, price, profit, multiple and sold date ("sold in the last 180 days"). - **Deal alerts**: run it every day with "listed in the last 1 day" and get each new business the day it is listed. - **Every field Empire Flippers publishes**, from its public Marketplace API — more than its marketplace cards show. You pay per listing delivered. Searches without results and links that give nothing are free rows that say why. No login, no start fee. ### What the Empire Flippers scraper is for - **Acquirers, search funds and investors**: watch Empire Flippers deal flow with your own price, profit, multiple and niche filters, and compare each new listing against the closed deals like it. - **Brokers and M\&A advisors**: SDE multiples by monetization (Amazon FBA, SaaS, content, eCommerce), niche, size and age, from thousands of real sold listings; how the market priced deals this year against last. - **Valuation and market research**: profit margins, revenue trends, traffic and work required across the whole marketplace in one dataset. - **Lenders and service providers**: who is selling what, at which size, and which listings are approved for private lender or SBA financing. Looking at other marketplaces too? The same buyers use our [Flippa Scraper](https://apify.com/steadyscrape/flippa-scraper) (websites, SaaS, apps and domains on Flippa, with sold comps) and our [BusinessesForSale.com Scraper](https://apify.com/steadyscrape/businesses-for-sale-scraper) (offline businesses and franchises in the US, UK, Australia and worldwide). ### How the Empire Flippers scraper works 1. Each keyword (or the filters alone) becomes one query to Empire Flippers' public listings API, built the way its documentation describes. A pasted marketplace page, listing link or API link is read as it is. 2. The Actor reads up to 100 listings per request, one request per second as the API asks, until your maximum: the whole marketplace, sold archive included (about 2,900 listings), takes about half a minute. 3. A listing found by an earlier search of the same run is delivered and charged once. ### Empire Flippers scraper input example ```json { "listingStatuses": ["for_sale"], "monetizations": ["Amazon FBA", "SaaS"], "minAnnualNetProfit": 50000, "maxAnnualMultiple": 3.5, "sort": "newest", "maxResultsPerSearch": 200 } ``` Sold comps of the last six months: `{ "listingStatuses": ["sold"], "monetizations": ["Display Advertising"], "soldInLastDays": 180, "sort": "recently_sold", "maxResultsPerSearch": 500 }`. New listings every day: `{ "listedInLastDays": 1, "sort": "newest" }`. From links: `{ "startUrls": ["https://empireflippers.com/listing/97290/", "92929", "https://empireflippers.com/marketplace/saas-businesses-for-sale/"] }`. ### Empire Flippers data output example One `listing` row (shortened): ```json { "rowType": "listing", "listingNumber": 97290, "url": "https://empireflippers.com/listing/97290/", "title": "$29.1K Per Month Application Business in the News & Education Niche", "status": "For Sale", "askingPriceUsd": 1008564, "annualMultiple": 3.7, "monthlyMultiple": 44, "multipleType": "SDE", "averageMonthlyRevenueUsd": 29082, "averageMonthlyNetProfitUsd": 22715, "averageAnnualNetProfitUsd": 272586, "profitMarginPercent": 78, "pricingPeriodMonths": 12, "monetizations": ["Application", "Subscription"], "niches": ["News & Education", "Hobbies"], "firstMadeMoneyAt": "2023-12-01", "businessAgeYears": 2.9, "firstListedAt": "2026-10-19T19:00:00.987Z", "daysOnMarketplace": 5, "country": "US", "countries": ["US", "DE"], "hoursWorkedPerWeek": 1, "workRequired": ["Publishing app updates on Google Play and the App Store every few months", "Managing monthly accounting"], "reasonForSale": "The seller wants to become a pilot and also develop a plane tracking app.", "assetsIncluded": ["Google Play Listing", "App Store Listing", "Domain", "Codebase (Apps + Web App + Backend)"], "netProfitTrendPercent": 107, "netProfitTrendMonths": 12, "saasChurnPercent": 5.7, "saasLtvUsd": 32, "monthlyFinancials": [{ "month": "2025-10", "revenueUsd": 14087.53, "expensesUsd": 3732.05, "netProfitUsd": 10355.48 }], "monthlyTraffic": [], "scrapedAt": "2026-10-25T06:00:00.000Z" } ``` #### Empire Flippers listing fields (`rowType: listing`, charged) | field | what it is | |---|---| | `listingNumber`, `id`, `url` | Empire Flippers' listing number, its internal id, and the listing page | | `title`, `summary` | the public title and the seller's description | | `status` | `For Sale`, `Pending Sold` (a buyer put down a deposit) or `Sold` | | `askingPriceUsd`, `unpriced` | the asking price in US dollars (the last one, for a sold listing); `null` when unpriced | | `annualMultiple`, `monthlyMultiple`, `multipleType` | price ÷ annual and ÷ monthly net profit; `SDE` (seller's discretionary earnings) | | `averageMonthly…Usd`, `averageAnnual…Usd` | revenue, expenses and net profit, averaged over `pricingPeriodMonths` | | `profitMarginPercent` | net profit ÷ revenue | | `monthlyFinancials` | the monthly P\&L: `month`, `revenueUsd`, `expensesUsd`, `netProfitUsd` | | `monthlyTraffic` | monthly page views and users, with each traffic `channel` (Organic Search, Direct…), largest first | | `sites` | each site or account: platform, domain type, average monthly page views and users, Google Analytics, Semrush authority score and referring domains, YouTube average views per video | | `netProfitTrendPercent`, `revenueTrendPercent`, `usersTrendPercent` (and `…Months`) | change over the last N months | | `monetizations`, `niches` | how it makes money and the market it serves | | `firstMadeMoneyAt`, `businessAgeYears` | first revenue and the business's age at the run | | `firstListedAt`, `daysOnMarketplace`, `newListing`, `updatedAt` | marketplace history | | `country`, `countries`, `countryOfRegistration`, `customerType` | main market, markets served, where the company is registered, B2C/B2B | | `hoursWorkedPerWeek`, `workRequired`, `sellerSupport`, `reasonForSale` | what running it takes and why it is sold | | `assetsIncluded`, `opportunities`, `risks` | as the listing writes them | | `amazonTacosPercent`, `amazonCogsPercent`, `amazonSkuCount`, `amazonParentAsinCount`, `amazonBrandRegistry` | Amazon businesses | | `saasMrrUsd`, `saasChurnPercent`, `saasLtvUsd`, `saasGrowthPercent`, `saasLtvCacRatio` | SaaS and subscription businesses | | `hasTrademark`, `usesPbn`, `patentPending`, `patentedDesign`, `patentedUtility`, `usaMade`, `hasVatRegistrations` | flags | | `privateLenderApproved`, `privateLenders` | financing approved for the deal | | `sellerAcceptingCalls`, `sellerInterviewUrl`, `hasTeaserPdf`, `dataProviders`, `expertAnalysis` | what the seller offers buyers | | `imageUrl` | the listing's picture, when it has its own | | `keyword`, `position` | the search that found it and its place there (`null` for a listing link) | | `scrapedAt` | when the run read it (UTC, ISO 8601) | #### Free rows - `search`: one per search or pasted search — `ok`, `no_results`, `blocked`, `not_searched` (spending limit) or `unreadable` — with Empire Flippers' own count (`totalListed`), how many listings were delivered, how many were duplicates of an earlier search, and how many could not be read. - `link`: a listing link that gave nothing — `invalid`, `not_found` (removed from the marketplace), `blocked`, `not_read` (spending limit) or `unreadable`. The run's `SUMMARY` record counts everything. ### Empire Flippers scraper pricing | event | price | when | |---|---|---| | `listing` | US$0.002 | each business delivered, for sale or sold, with every field above | 100 listings cost US$0.20; the whole sold archive (about 2,700 listings) about US$5.40. No start fee. Free rows cost nothing. Set a spending limit on the run and the Actor stops at the last listing it pays for. ### Limits of the Empire Flippers data - **What the public API gives, and nothing behind Empire Flippers' "Unlock"**: the business's URL, its documents and the seller's identity are shown only to verified buyers and are never read. - The final sale price of a sold listing is not published: `askingPriceUsd` is the asking price when it sold. - Several keywords in one search match listings with any of them (Empire Flippers' full-text search); put each idea in its own keyword to keep the results apart. - Listings can disappear from the marketplace for Empire Flippers' own reasons; a link to one is a free `not_found` row. - If Empire Flippers refuses (a firewall answer or a bot check), the Actor retries twice from another IP, never solves a challenge, and then stops asking: the rest are free `blocked` rows and the run still ends successfully. ### Is scraping Empire Flippers legal? This Actor reads only Empire Flippers' **public Marketplace API**, which Empire Flippers documents for anyone, without authentication, to pull its listings "or use the data personally as a buyer" — at the pace its documentation asks (one request a second). It never signs in and never requests what a buyer sees after unlocking a listing. If you plan to republish the listings, Empire Flippers asks syndication partners to join its Referral Program. **Using the data is your responsibility**, including Empire Flippers' terms of use and data protection law where you work. This Actor is **not affiliated with, endorsed or sponsored by Empire Flippers**. Read more in Apify's blog post on [the legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ### Feedback A wrong row, or a field you need? Open an issue with the input or the listing number: every fix is tested against the real API answer. # Actor input Schema ## `listingStatuses` (type: `array`): Which listings to get: For sale now, Pending sold (a buyer has put down a deposit) or Sold (the archive of closed deals, for valuation comps). Pick several to mix them; leave empty for all three. ## `keywords` (type: `array`): Words to search listings for with Empire Flippers' own full-text search (newsletter, pet supplies, shopify). Each keyword is a separate search with the same filters. Leave empty to list everything the filters match. Up to 50. ## `monetizations` (type: `array`): How the business makes money, as the marketplace tags it (Amazon FBA, SaaS, Display Advertising, eCommerce…). A listing with any of the chosen ones matches. Leave empty for all. ## `niches` (type: `array`): The market the business serves (Pet Care, Health & Fitness, Home…). A listing with any of the chosen ones matches. Leave empty for all. ## `countries` (type: `array`): Two-letter codes of the markets the business sells to or gets its traffic from (US, GB, DE). A listing serving any of them matches. Leave empty for all. ## `minPrice` (type: `integer`): Listings asking at least this much. ## `maxPrice` (type: `integer`): Listings asking at most this much. ## `minAnnualNetProfit` (type: `integer`): The listing's average monthly net profit over its pricing period, times 12. ## `maxAnnualNetProfit` (type: `integer`): Average annual net profit at most this much. ## `minAnnualMultiple` (type: `number`): Asking price divided by annual net profit (SDE), e.g. 2.5. ## `maxAnnualMultiple` (type: `number`): Annual multiple at most this, e.g. 3.5. ## `soldFrom` (type: `string`): YYYY-MM-DD. Sold listings closed on or after this day. ## `soldTo` (type: `string`): YYYY-MM-DD. Sold listings closed on or before this day. ## `soldInLastDays` (type: `integer`): Sold listings closed in the last N days, counted back from the day of the run (good for a scheduled run). Instead of Sold from. ## `listedInLastDays` (type: `integer`): Listings first listed in the last N days, counted back from the day of the run: run it daily with 1 or 2 to get new deals. ## `sort` (type: `string`): The order listings come in, which decides which ones a maximum keeps. ## `startUrls` (type: `array`): Listing links (https://empireflippers.com/listing/97290/) or bare listing numbers (97290), marketplace category pages (https://empireflippers.com/marketplace/saas-businesses-for-sale/), or a link to the public listings API with your own query. Up to 5000. Links alone run no form search; links plus a filter run both. ## `maxResultsPerSearch` (type: `integer`): How many listings each keyword, filter search or pasted search delivers at most. The whole marketplace, sold archive included, is under 3,000 listings. ## Actor input object example ```json { "listingStatuses": [ "for_sale" ], "sort": "marketplace", "maxResultsPerSearch": 10 } ``` # Actor output Schema ## `rows` (type: `string`): No description ## `summary` (type: `string`): No description # 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 = { "listingStatuses": [ "for_sale" ], "maxResultsPerSearch": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("steadyscrape/empire-flippers-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "listingStatuses": ["for_sale"], "maxResultsPerSearch": 10, } # Run the Actor and wait for it to finish run = client.actor("steadyscrape/empire-flippers-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "listingStatuses": [ "for_sale" ], "maxResultsPerSearch": 10 }' | apify call steadyscrape/empire-flippers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,steadyscrape/empire-flippers-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/SeQ6j1OBYGSiPVRC4/builds/mnZ2phEHbzmLEphsp/openapi.json