Flippa Listings Extractor

Flippa Listings Extractor collects live listings from the Flippa marketplace and returns them as clean, structured data. Search for websites, YouTube channels, apps, SaaS products, domains, and social media accounts that are for sale, then export everything to JSON, CSV, or Excel.

Filter by asset type, price range, sale method, keyword, or verified revenue and traffic, or just paste a Flippa search URL and let the actor read the filters for you. Every record carries the asking price, monthly revenue and profit, traffic, seller location, a listing image, sale status, and a direct link to the listing.

Why use this actor

Flippa is one of the largest marketplaces for buying and selling online businesses, but its listings live behind a search interface that is slow to review at scale and impossible to sort in a spreadsheet. This actor turns any Flippa search into a dataset you can filter, sort, and analyze on your own terms.

• Find deals faster. Pull every listing that matches your budget and niche in one run instead of clicking through pages.
• Track the market. Run it on a schedule to catch new listings and price drops the day they happen.
• Compare valuations. Line up asking price against monthly revenue and profit to spot over- and under-priced assets.
• Build a pipeline. Keep a living dataset of acquisition targets that refreshes automatically.
• Power your own tools. Feed live marketplace data into dashboards, valuation models, alerts, or research notebooks.

How it works

You can drive the actor two ways, and you can combine them:

1. Paste Flippa search URLs. Drop one or more search URLs from https://flippa.com/search into searchUrls. Any filters already in the URL (filter[...], q, sort_alias) are read automatically. The easiest way to get one is to set up your filters on the Flippa search page and copy the address bar.
2. Describe the search. Skip the URL and set the filter fields directly (propertyType, priceMin, keyword, and so on).

The actor pages through the entire result set (25 listings per page), removes duplicate listings, and stops once it reaches your maxItems limit. Each listing becomes one row in the dataset.

Input parameters

Field	Type	Default	Description
searchUrls	array of strings	–	Flippa search URLs. Filters in the URL are read automatically. Leave empty to build the search from the fields below.
propertyType	string	–	Asset type. One of website, fba, saas, ecommerce_store, plugin_and_extension, ai_apps_and_tools, youtube, ios_app, android_app, game, crypto_app, social_media, newsletter, service_and_agency, service, projects_and_concepts, domain, other.
saleMethod	string	any	Restrict to auction or classified listings.
keyword	string	–	Match against listing titles and descriptions.
priceMin	integer	–	Only listings priced at or above this amount (USD).
priceMax	integer	–	Only listings priced at or below this amount (USD).
verifiedRevenueOnly	boolean	false	Only listings with revenue verified by the marketplace.
verifiedTrafficOnly	boolean	false	Only listings with traffic verified by the marketplace.
sortBy	string	default	Sort order: most_relevant, most_recent, most_active, lowest_price, highest_price, ending_soonest, or most_profitable.
maxItems	integer	50	Maximum number of listings to collect per run (max 5000).
requestTimeoutSecs	integer	45	Per-request timeout in seconds.

Example: scrape a category with a price band

{
    "searchUrls": ["https://flippa.com/search?filter[property_type][]=youtube"],
    "priceMin": 1000,
    "priceMax": 50000,
    "verifiedRevenueOnly": true,
    "maxItems": 200
}

Example: build the search from filters

{
    "propertyType": "website",
    "saleMethod": "classified",
    "keyword": "fitness",
    "sortBy": "highest_price",
    "maxItems": 100
}

Output

Each listing is saved as one record. Example:

{
    "listingId": "12021962",
    "url": "https://flippa.com/12021962",
    "title": "E-commerce SaaS that finds winning products. 3k MRR, highly profitable.",
    "summary": "E-commerce SaaS that finds winning products. 3k MRR, low churn.",
    "propertyType": "SaaS",
    "category": "Business",
    "monetization": "Services & Subscriptions",
    "status": "open",
    "saleMethod": "classified",
    "priceLabel": "Asking Price",
    "price": 14881,
    "priceText": "USD $14,881",
    "originalPrice": null,
    "priceDropped": false,
    "priceDropPercent": null,
    "bidCount": 0,
    "profitPerMonth": 1354,
    "revenuePerMonth": 1447,
    "profitMultiple": 0.9,
    "revenueMultiple": 0.9,
    "ttmRevenue": null,
    "targetRaiseAmount": null,
    "confidential": false,
    "hasVerifiedRevenue": false,
    "hasVerifiedTraffic": false,
    "countryName": "United Arab Emirates",
    "ageYears": 2,
    "ageLabel": "Site Age",
    "uniquesPerMonth": 1000,
    "annualOrganicTraffic": null,
    "authorityScore": null,
    "appRating": null,
    "propertyName": "spyderads.app",
    "primaryPlatform": null,
    "superSeller": false,
    "brokerSeller": false,
    "brokerName": null,
    "sponsored": false,
    "editorsChoice": false,
    "managedByFlippa": false,
    "readyMade": false,
    "underOffer": false,
    "openToOffer": false,
    "watched": false,
    "currencyLabel": "USD $",
    "endsAt": "2026-12-18T09:11:19+11:00",
    "thumbnailUrl": "https://static2.flippa.com/webp_example.webp",
    "scrapedAt": "2026-09-05T09:26:55+00:00"
}

Field reference

Field	Meaning
listingId	Flippa listing ID.
url	Direct link to the listing page.
title	Full listing title.
summary	Short seller-written summary.
propertyType	Asset type label, for example SaaS, Website, YouTube.
category	Industry or niche category.
monetization	How the asset makes money.
status	Listing status, for example open.
saleMethod	auction or classified.
priceLabel	Label Flippa shows for the price, e.g. Asking Price or Current Bid.
price	Asking price or current bid (USD).
priceText	Price as displayed, including currency, e.g. USD $14,881.
originalPrice	Price before a drop, when the listing was reduced (USD).
priceDropped	Whether the price has been reduced.
priceDropPercent	Percentage the price dropped, when applicable.
bidCount	Number of bids on an auction.
profitPerMonth	Reported average monthly profit (USD).
revenuePerMonth	Reported average monthly revenue (USD).
profitMultiple	Asking price as a multiple of annual profit.
revenueMultiple	Asking price as a multiple of annual revenue.
ttmRevenue	Trailing-twelve-month revenue, when published (USD).
targetRaiseAmount	Capital-raise target for invest listings (USD).
confidential	Whether details are hidden until an NDA is signed.
hasVerifiedRevenue	Revenue verified by the marketplace.
hasVerifiedTraffic	Traffic verified by the marketplace.
countryName	Seller country.
ageYears	Age of the asset in years.
ageLabel	Label Flippa uses for the age metric, e.g. Site Age.
uniquesPerMonth	Monthly unique visitors.
annualOrganicTraffic	Estimated annual organic traffic.
authorityScore	Domain/authority score when available.
appRating	App store rating for mobile app listings.
propertyName	Display name of the asset (hostname, channel name, or NDA prompt).
primaryPlatform	Primary platform the asset runs on, when set.
superSeller	Whether the seller holds Super Seller status.
brokerSeller	Whether the listing is sold through a broker.
brokerName	Broker name, when a broker handles the sale.
sponsored	Whether the listing is sponsored.
editorsChoice	Whether Flippa flags it as an editor's choice.
managedByFlippa	Whether Flippa manages the sale.
readyMade	Whether the asset is a ready-made / starter site.
underOffer	Whether the listing is currently under offer.
openToOffer	Whether the seller is open to offers.
watched	Whether the current viewer watches it (always false for anonymous runs).
currencyLabel	Currency prefix shown for prices, e.g. USD $.
endsAt	When the listing or auction ends.
thumbnailUrl	Listing image URL.
scrapedAt	UTC timestamp of when the record was collected.

Why some fields are null

The actor returns exactly what Flippa publishes for each listing. A field is null when the marketplace does not provide a value for it, which is normal and expected in these cases:

• appRating is filled only for mobile app listings (ios_app, android_app). Other asset types have no app rating, so this field is null for them.
• profitPerMonth, revenuePerMonth, uniquesPerMonth, propertyName are often hidden on confidential listings until a buyer signs an NDA, so they can be null or replaced with an NDA prompt.
• originalPrice and priceDropPercent are set only on listings whose price has been reduced.
• brokerName is null unless a broker handles the sale.

If you only want listings that report a specific metric, filter the dataset after the run, or use verifiedRevenueOnly and verifiedTrafficOnly to narrow the search up front.

Export and integrate

Results are stored in an Apify dataset. You can:

• Download as JSON, CSV, Excel, or HTML from the run's Storage tab.
• Pull records through the Apify API or client libraries.
• Trigger the actor on a schedule and connect it to webhooks, Google Sheets, or your own pipeline.

Tips

• Start with a small maxItems while you dial in filters, then raise it once the results look right.
• To monitor a niche over time, save an input with your filters and run it on a daily or weekly schedule.
• Combine a search URL in searchUrls with priceMin and priceMax to focus on a specific budget within that category.

Frequently asked questions

Can I scrape more than one category at once? Yes. Add several URLs to searchUrls, or run separate searches. Duplicate listings across searches are removed automatically.

How current is the data? Every run pulls live listings at that moment, so schedule it as often as you need fresh results.

Does it return sold or closed listings? It returns whatever matches your search on Flippa, which is primarily active listings. Use status in the output to filter further.

Why do I get fewer results than the category shows? Collection stops at your maxItems limit. Increase it to pull the full set.