Flippa Scraper

What does Flippa Scraper do?

Flippa Scraper collects structured data from public Flippa marketplace search pages. Use Flippa category, search, app, domain, SaaS, web app, or monetization URLs to build datasets of online businesses and digital assets for sale.

The Actor returns one flat record per listing, including the title, listing URL, property type, category, monetization model, asking price, revenue and profit signals, traffic metrics, verification markers, integrations, and source page. It is designed for investors, brokers, acquisition teams, market researchers, and anyone comparing online business opportunities.

Why use Flippa Scraper?

• Deal sourcing - Find websites, ecommerce businesses, SaaS projects, apps, and domains that match a target category or keyword.
• Acquisition research - Compare asking prices, revenue, monthly profit, monetization models, platform integrations, and listing status.
• Market monitoring - Schedule repeat runs to track new listings, price changes, verification markers, and changes in marketplace supply.
• Keyword targeting - Apply a keyword such as shopify, productivity, or another niche term across the supplied Flippa URLs.
• Flat dataset output - Receive clean key-value records with arrays converted into comma-separated text and empty values removed.
• Workflow-ready exports - Download results as JSON, CSV, Excel, or XML, or connect the dataset to spreadsheets, webhooks, and other tools on Apify.

What data can you extract from Flippa?

Each dataset item represents a unique Flippa listing. Fields are included when Flippa publishes a usable value for the listing.

Field	Type	Description
listing_id	String	Flippa listing identifier.
listing_url	String	Direct URL to the listing.
title	String	Listing headline.
summary	String	Listing summary when available.
property_type	String	Asset type, such as website, app, or business.
category	String	Flippa category.
monetization	String	Monetization model, such as advertising, ecommerce, or subscription.
sale_method	String	Sale method, such as auction or classified.
status	String	Listing status.
country	String	Country associated with the listing.
primary_platform	String	Main platform associated with the asset.
price	Number	Parsed numeric asking price.
price_text	String	Displayed price text.
currency	String	Published currency label when available.
monthly_profit	Number	Parsed average monthly profit.
monthly_profit_text	String	Original monthly profit text.
monthly_revenue	Number	Parsed average monthly revenue.
ttm_revenue	Number	Trailing twelve-month revenue when published.
bid_count	Number	Number of bids when available.
revenue_multiple	Number	Revenue multiple when published.
profit_multiple	Number	Profit multiple when published.
established_years	Number	Published age or establishment value when available.
age_text	String	Displayed age text.
monthly_uniques	Number	Monthly unique visitors when published.
annual_organic_traffic	Number	Annual organic traffic when published.
authority_score	Number	Published authority score when available.
has_verified_traffic	Boolean	Whether verified traffic is indicated.
has_verified_revenue	Boolean	Whether verified revenue is indicated.
manually_vetted	Boolean	Whether the listing is marked as manually vetted.
sponsored	Boolean	Whether the listing is marked as sponsored.
editors_choice	Boolean	Whether the listing has an Editor's Choice marker.
broker_seller	Boolean	Whether a broker seller marker is present.
super_seller	Boolean	Whether a Super Seller marker is present.
confidential	Boolean	Whether the listing is marked confidential.
open_to_offer	Boolean	Whether offers are accepted.
under_offer	Boolean	Whether the listing is under offer.
price_dropped	Boolean	Whether a price drop is indicated.
price_dropped_percent	Number	Published price-drop percentage.
integrations	String	Comma-separated integrations or providers.
verification_providers	String	Comma-separated verification providers.
badge_labels	String	Comma-separated listing badges.
badge_count	Number	Number of listing badges.
listing_group	String	Result group, normally results or early_access_listings.
source_page	Number	Flippa result page that produced the record.
source_url	String	Supplied Flippa URL associated with the record.
search_keyword	String	Keyword used for the run when provided.

How to use Flippa Scraper

1. Open Flippa Scraper in Apify Console.
2. Add one or more public Flippa URLs to startUrls.
3. Optionally enter a keyword to focus the collection.
4. Set results_wanted and max_pages for the size of the run.
5. Run the Actor and review the dataset preview.
6. Download the results or connect them to your acquisition workflow.

Use the supplied URL as the starting point for the search. The Actor uses the URL path and query settings to preserve category and search targeting, while keyword adds an optional keyword filter.

Input Parameters

Parameter	Type	Required	Default / prefill	Description
startUrls	Array	No	Prefilled with https://flippa.com/websites	One or more Flippa URL objects. Supported targets include websites, apps, domains, search pages, and buy/... category pages.
keyword	String	No	Prefilled with shopify	Optional keyword filter applied to the Flippa search.
results_wanted	Integer	No	20	Maximum number of unique listings to save across the run.
max_pages	Integer	No	20	Maximum number of result pages processed for each supplied URL.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional Apify Proxy configuration for the run.

startUrls uses the following format:

[{ "url": "https://flippa.com/websites" }]

Output Data

The dataset contains flat JSON records. Values that are null, empty, or not finite numbers are omitted. Lists such as integrations, verification providers, and badges are represented as comma-separated strings so the output is easy to filter and export.

Usage Examples

Basic website listing collection

Collect up to 30 website listings from the main Flippa websites page:

{
    "startUrls": [{ "url": "https://flippa.com/websites" }],
    "results_wanted": 30
}

Domain listings with page control

Collect domain opportunities and process no more than three pages for the URL:

{
    "startUrls": [{ "url": "https://flippa.com/domains" }],
    "results_wanted": 30,
    "max_pages": 3
}

Multiple category URLs

Combine SaaS and Adsense category pages in one run and save up to 50 unique listings:

{
    "startUrls": [
        { "url": "https://flippa.com/buy/sitetype/saas" },
        { "url": "https://flippa.com/buy/monetization/adsense" }
    ],
    "results_wanted": 50,
    "max_pages": 2
}

Keyword-focused app research

Use a keyword to narrow app listings to a specific product or market area:

{
    "startUrls": [{ "url": "https://flippa.com/apps" }],
    "keyword": "productivity",
    "results_wanted": 40
}

Sample Output

The following example shows one flattened dataset item:

{
    "listing_id": "12267830",
    "listing_url": "https://flippa.com/12267830",
    "title": "7 years old SEO-driven Shopify baby float niche site...",
    "property_type": "Ecommerce",
    "category": "Hobbies and Games",
    "monetization": "Dropshipping",
    "sale_method": "classified",
    "status": "open",
    "country": "France",
    "price": 118000,
    "price_text": "USD $118,000",
    "monthly_profit": 3956,
    "monthly_revenue": 8270,
    "integrations": "google_analytics, shopify",
    "verification_providers": "verified-listing, google_analytics, shopify",
    "badge_labels": "Managed by Flippa, Sponsored, Editor's Choice",
    "listing_group": "results",
    "source_page": 1,
    "source_url": "https://flippa.com/websites"
}

Tips for Best Results

• Use public Flippa URLs - Start with a complete category or search URL so the collection is focused on the market you want to study.
• Test with a small limit - Begin with results_wanted between 20 and 50 to review field coverage before larger runs.
• Set both limits together - Increase max_pages when you increase results_wanted, especially for broad categories.
• Use specific keywords - Niche terms such as shopify, saas, or productivity usually produce more focused results than broad terms.
• Check optional fields - Revenue, profit, traffic, verification, and seller markers depend on what each listing publishes.
• Use source fields for audits - Keep source_url and source_page when comparing runs or tracing a listing back to the search that produced it.
• Schedule repeat runs - Recurring runs can help track new listings, price changes, and changes in available inventory.

Integrations and Export Formats

• Google Sheets - Review, score, and sort acquisition opportunities.
• Airtable - Build a searchable deal pipeline.
• Make or Zapier - Send new run results into no-code workflows.
• Webhooks - Trigger notifications or downstream processing after a run.
• Apify API - Retrieve dataset records from your own applications and analysis tools.
• JSON, CSV, Excel, and XML - Download results in common formats for research and reporting.

Frequently Asked Questions

Can I collect apps, domains, SaaS, and websites?

Yes. Add the relevant public Flippa category or search URL to startUrls.

Can I submit multiple Flippa URLs in one run?

Yes. Add multiple URL objects to startUrls. The Actor removes duplicate listings and applies the global results_wanted limit across the run.

Does the keyword filter work with every URL?

Yes. When keyword is provided, it is applied to the Flippa search configuration for each supplied URL.

Are the results flattened?

Yes. Each dataset item is a flat record. Integration names, verification providers, and badge labels are stored as comma-separated text instead of nested arrays.

Why are some fields missing?

Some listings do not publish revenue, profit, traffic, verification, or seller information. The Actor omits null and empty values rather than inserting placeholders.

Can I export Flippa data to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats.

Can I schedule Flippa monitoring runs?

Yes. Create an Apify schedule to repeat a category or search run hourly, daily, weekly, or at another interval.

Is it legal to scrape Flippa?

Collecting public web data may be legal in some situations, but you are responsible for following Flippa's terms, applicable laws, privacy requirements, and any restrictions that apply to your intended use.

Related Actors

• BizBuySell Scraper - Collect business-for-sale listings, prices, financial signals, broker details, and locations from BizBuySell.
• BusinessesForSale Scraper - Research business listings with asking prices, revenue, cash flow, locations, and broker information from BusinessesForSale.com.
• BizQuest Scraper - Gather business-for-sale listings, valuation fields, broker details, and locations from BizQuest.

Support

For missing fields, feature requests, or target-page changes, use the Issues tab on the Actor page in Apify Console. Include the input URL, run ID, and an example of the missing or unexpected data when possible.

Legal Notice

This Actor is intended for legitimate collection and analysis of publicly available Flippa listing data. Users are responsible for using the output responsibly and complying with Flippa's terms, applicable laws, privacy obligations, and data usage requirements.