Flippa Listings Extractor
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from $3.99 / 1,000 results
Flippa Listings Extractor
Flippa Listings Extractor collects live Flippa marketplace listings so you can find websites, apps, and online businesses for sale, then export price, revenue, and traffic data to JSON, CSV, or Excel.
Pricing
from $3.99 / 1,000 results
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0.0
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Developer
Kawsar
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3
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2
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9 days ago
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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, auction 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:
- Paste Flippa URLs. Drop one or more listing pages, category pages, or filtered search URLs into
searchUrls. Any filters already in the URL are read automatically. Pretty category pages such ashttps://flippa.com/buy/media-communities/youtubeare mapped to the matching asset type. - 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, 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 listing pages, category pages, or filtered search URLs. Filters in the URL are read automatically. Leave empty to build the search from the fields below. |
propertyType | string | – | Asset type. Examples: youtube, website, app, ios_app, android_app, domain, saas, ecommerce, instagram, tiktok, newsletter. |
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, price high to low, price low to high, newest, or oldest. |
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/buy/media-communities/youtube"],"priceMin": 1000,"priceMax": 50000,"verifiedRevenueOnly": true,"maxItems": 200}
Example: build the search from filters
{"propertyType": "website","saleMethod": "classified","keyword": "fitness","sortBy": "-price","maxItems": 100}
Output
Each listing is saved as one record. Example:
{"listingId": "13821130","listingType": "youtube","listingTitle": "Established faceless YouTube channel in the tech niche","summary": "Established faceless YouTube channel earning from AdSense and affiliates.","url": "https://flippa.com/13821130-established-faceless-youtube-channel","status": "open","saleMethod": "auction","currentPrice": 60001,"displayPrice": 97000,"buyItNowPrice": null,"bidCount": 0,"reserveMet": false,"postAuctionNegotiable": false,"hasVerifiedRevenue": false,"hasVerifiedTraffic": false,"revenuePerMonth": 3718,"profitPerMonth": 2778,"averageRevenue": 3718,"averageProfit": 2778,"revenueSources": [],"businessModel": null,"industry": "electronics","pageViewsPerMonth": null,"uniquesPerMonth": null,"appDownloadsPerMonth": null,"propertyName": "YouTube Channel | Electronics","hostname": "HOSTNAME HIDDEN","sellerLocation": "Romania","superSeller": false,"confidential": true,"turnkeyListing": false,"watching": 0,"establishedAt": "2025-03-01T11:00:00+11:00","startsAt": "2026-08-26T21:09:02+10:00","endsAt": "2026-09-25T21:09:02+10:00","thumbnailUrl": "https://static2.flippa.com/thumbnail2x_example.png","sellerId": "385107","scrapedAt": "2026-08-26T12:00:00+00:00"}
Field reference
| Field | Meaning |
|---|---|
listingId | Flippa listing ID. |
listingType | Asset type, for example youtube, website, ios_app. |
listingTitle | Full listing title. |
summary | Short seller-written summary. |
url | Direct link to the listing page. |
status | Listing status, for example open. |
saleMethod | auction or classified. |
currentPrice | Current price or top bid (USD). |
displayPrice | Price shown on the listing card (USD). |
buyItNowPrice | Buy It Now price when offered (USD). |
bidCount | Number of bids on an auction. |
reserveMet | Whether the auction reserve has been met. |
postAuctionNegotiable | Whether the seller will negotiate after auction. |
hasVerifiedRevenue | Revenue verified by the marketplace. |
hasVerifiedTraffic | Traffic verified by the marketplace. |
revenuePerMonth | Reported monthly revenue (USD). |
profitPerMonth | Reported monthly profit (USD). |
averageRevenue | Average monthly revenue (USD). |
averageProfit | Average monthly profit (USD). |
revenueSources | List of monetization sources. |
businessModel | Business model label when the seller sets one. |
industry | Industry or niche. |
pageViewsPerMonth | Monthly page views. |
uniquesPerMonth | Monthly unique visitors. |
appDownloadsPerMonth | Monthly app downloads. |
propertyName | Display name of the asset. |
hostname | Asset hostname, or HOSTNAME HIDDEN on confidential sales. |
sellerLocation | Seller country. |
superSeller | Whether the seller holds Super Seller status. |
confidential | Whether details are hidden until an NDA is signed. |
turnkeyListing | Whether Flippa markets the asset as turnkey. |
watching | Number of users watching the listing. |
establishedAt | When the asset was established. |
startsAt | Auction start time. |
endsAt | Auction end time. |
thumbnailUrl | Listing image URL. |
sellerId | Flippa seller ID. |
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:
appDownloadsPerMonthis filled only for mobile app listings (ios_app,android_app). Websites, YouTube channels, SaaS, and ecommerce assets have no download metric, so this field isnullfor them.businessModelis a field Flippa exposes but rarely fills in. Most listings leave it blank, so it usually comes backnull.pageViewsPerMonth,uniquesPerMonth,hostnameare often hidden on confidential listings until a buyer signs an NDA, so they can benullor masked (HOSTNAME HIDDEN).buyItNowPriceisnullon pure auction listings with no Buy It Now option.
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
maxItemswhile 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 category URL in
searchUrlswithpriceMinandpriceMaxto 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.