Free Flippa Website Listing Scraper

Flippa Website Listing Scraper – Extract Prices, Revenue & Details

Extract Flippa listings including website details, prices, revenue, and business data with this powerful scraper. Ideal for investors, agencies, and market research. Export data in JSON, CSV, or Excel format.

What is Flippa Listing Scraper and How Does It Work?

Flippa Listing Scraper is a powerful Flippa data extraction tool built on Apify that allows you to scrape website listings, business data, prices, and investment-related fields from Flippa listing detail pages using listing URLs. It is designed for investors, agencies, and entrepreneurs who want to automate deal sourcing, competitor analysis, and market research — without manual browsing.

Why Use This Flippa Scraper?

Use this scraper to:

• Discover profitable websites and businesses
• Analyze listing prices, revenue, and performance metrics shown on Flippa
• Track investment opportunities from structured listing data
• Automate deal sourcing workflows
• Build datasets for market research and analysis

What Data Does Flippa Listing Scraper Extract?

This actor extracts detailed listing-level data (as available on each listing page), including:

• Website / business title
• Listing price
• Revenue & profit lines (when shown on the page)
• Traffic-related fields (e.g. page views) when available
• Listing description
• Listing URL and listing ID
• Category (e.g. SaaS, eCommerce)
• Business metrics: site age, location, profit margin, multiples, subscribers, churn, domain authority, badges, views, watchers, payment methods — when present on the listing
• Verified revenue / verified traffic flags when shown

➡️ All data is structured and exportable in JSON, CSV, or Excel via Apify dataset export.

Features

• Listing extraction: Scrape Flippa listing detail URLs — pass one URL per listing (same pattern as Amazon/eBay productUrls).
• Bulk runs: Multiple listing URLs in a single actor run.
• Rich metrics: Maps Flippa UI into structured fields (price, revenue, margins, traffic, multiples, etc. when visible).
• Automation-ready: Run on Apify with API, schedules, and webhooks.
• Proxy support: Apify Proxy and proxy country for reliable access.

How to Use Flippa Listing Scraper on Apify

Using the Actor

To use this scraper on Apify, follow these simple steps:

1. Go to the Flippa Listing Scraper on the Apify platform.

2. Input Configuration:

   • Add one or more Flippa listing page URLs (full https://flippa.com/... links to individual listings).
   • Set language and proxy options if needed.

Input Configuration

The actor accepts the following input parameters:

{
  "productUrls": [
    "https://flippa.com/12223339-example-saas-listing-slug"
  ],
  "language": "en",
  "proxyCountry": "AUTO_SELECT_PROXY_COUNTRY",
  "proxy": {
    "useApifyProxy": true
  }
}

• productUrls (required for typical use): Array of Flippa listing URLs, one per line in the Console (string list) or JSON array. Same naming as Amazon/eBay scrapers in this repo.
• language (optional): Flippa UI language — en, de, es, fr, it, ja, pt, nl (default: en).
• proxyCountry (optional): AUTO_SELECT_PROXY_COUNTRY, US, GB, DE, FR, JP, CA, IT.
• proxy (optional): Apify Proxy configuration (default enables useApifyProxy: true).

3. Run the Actor: Click Start. Each valid listing URL produces one dataset item.

4. Access Your Results: Open the Dataset tab; export JSON, CSV, or Excel, or use the Apify API.

5. Schedule Regular Runs (Optional): Schedule daily/weekly runs to track new listings you add via automation or manual URL lists.

Output

All results are stored in Apify dataset storage. Each item typically includes:

Field	Description
url	Listing URL
title	Business / listing title
price	Asking price (string, e.g. USD)
revenue	Monthly revenue/profit line as shown
category	e.g. SaaS | Internet
listingId	Flippa listing ID
image_url	Primary listing image
verified_revenue	Revenue verified flag
verified_traffic	Traffic verified flag
description	About the business
siteAge	e.g. 4 years
businessLocation	e.g. country/region
monthlyProfit	Monthly profit line
profitMargin	e.g. 69%
pageViews	Traffic / page views
profitMultiple	e.g. 4.9x
revenueMultiple	e.g. 3.4x
totalActiveSubscribers	If shown
overallChurn	If shown
domainAuthority	Integer if extracted
badges	e.g. Editor's Choice
views	Listing view count
watchers	Watcher count
paymentMethods	e.g. Escrow.com
scrapedAt	ISO timestamp

Example item (illustrative):

{
  "url": "https://flippa.com/12345678-example-listing",
  "title": "Example SaaS Business",
  "price": "USD $300,000",
  "revenue": "USD $5,130/mo",
  "category": "SaaS | Internet",
  "listingId": "12345678",
  "verified_revenue": true,
  "pageViews": "12,000 p/mo",
  "profitMargin": "70%",
  "scrapedAt": "2026-03-30T12:00:00.000Z"
}

(Fields may be null if not present on the page.)

How the Scraper Works

1. Playwright loads each Flippa listing URL in a headless browser.
2. BeautifulSoup parses HTML; the script extracts visible metrics and metadata (title, price, revenue, description, KPIs, etc.).
3. One output row per input URL is pushed to the default Apify dataset.
4. Retries and timeouts help with flaky loads (MAX_RETRIES, DEFAULT_TIMEOUT in main.py).

Anti-blocking Measures

• Apify Proxy (configurable proxy and proxyCountry).
• Rotating user agents.
• Retries with backoff between attempts.

Performance Optimization

• Batch many productUrls in one run.
• Use proxy appropriate for your Apify plan and Flippa’s response patterns.

Use Cases

• Website investment research
• Deal sourcing
• Competitor analysis
• Market analysis
• Agency prospecting
• AI & data pipelines

Integrations & API

• Use as API via Apify
• Integrate with Python & Node.js
• Connect with Zapier, Make, Google Sheets
• Automate workflows with webhooks
• Schedule recurring scraping

FAQ

How does Flippa Listing Scraper help in finding profitable website investments?

This scraper lets you analyze multiple Flippa listings by extracting key metrics such as price, revenue, and traffic from listing pages you specify. Instead of reviewing listings one by one in the browser, you can compare opportunities in a structured dataset and filter for patterns (e.g. revenue vs. asking price).

Can I use this scraper to build a deal sourcing system?

Yes. Combine scheduled runs with the Apify API to poll for new URLs you enqueue, filter by revenue or category in your own pipeline, and send qualified deals to a CRM or Google Sheets.

How accurate are revenue and traffic metrics from Flippa listings?

The scraper extracts data as shown on Flippa at scrape time. Always perform your own due diligence; many investors cross-check with external analytics or seller verification.

Can I analyze trends across different business categories like SaaS or eCommerce?

Yes — pass listing URLs for listings in those categories (from Flippa search/browse, then copy individual listing URLs). Aggregate in your tools to compare multiples, ranges, and niches.

How can agencies use this scraper for lead generation?

Use structured price, traffic, and margin fields to spot listings where your services (SEO, ads, CRO) could add value, then qualify outreach in your CRM.

Can I automate tracking of new Flippa listings?

You can schedule the actor to run on a list of listing URLs you refresh (from your own discovery workflow). Webhooks and Sheets integrations can notify your team when runs complete.

Is this scraper suitable for building valuation models?

Yes. Structured fields (price, revenue, multiples, category) support spreadsheets and models; add your own assumptions and scoring.

Can I integrate this scraper into my existing workflow or system?

Yes — full Apify API access works with Python, Node.js, Zapier, Make, or internal dashboards.

How much data can I extract in one run?

Depends on your Apify plan, run memory, and how many URLs you pass; the actor is built for bulk URL lists.

Is scraping Flippa legal and safe to use?

The scraper reads publicly visible listing page content. You must comply with Flippa’s terms of service and applicable laws, especially for commercial use.

SEO Keywords

flippa scraper
flippa listing scraper
flippa data scraper
flippa website scraper
flippa marketplace scraper
flippa investment tool
flippa deal scraper
scrape flippa listings
flippa business data extractor
flippa competitor analysis
best flippa scraper
flippa scraper apify

Why Choose This Actor?

• High-value niche (investors & agencies)
• Extract revenue and business metrics from listing pages
• Scalable and automation-ready
• Clean structured datasets
• Strong ROI-oriented use cases

Actor permissions

This Actor is designed to work with limited permissions. It only reads input and writes to its default dataset; it does not access other user data or require full account access.

To set limited permissions in Apify Console:

1. Open your Actor on the Apify platform.
2. Go to the Source tab (or Settings).
3. Click Review permissions (or open Settings → Permissions).
4. Select Limited permissions and save.

Limitations

• Listing detail URLs only — pass Flippa listing pages (flippa.com/... listing URLs), not arbitrary non-listing pages; search/category pages are not the primary target of this actor’s extraction logic.
• Field availability depends on what Flippa displays for each listing.
• Site changes may require code updates.
• Respect Flippa’s terms and rate limits.

License

See the repository root or this package’s LICENSE file for license terms, if present.

Run locally

cd flippa-listing-scraper
pip install -r requirements.txt
python -m playwright install chromium

Create INPUT.json with productUrls (array of Flippa listing URLs), then:

• Windows (PowerShell): $env:RUN_LOCAL="1"; python main.py
• Mac/Linux: RUN_LOCAL=1 python main.py

Results are written to output.json when running locally.

Deploy to Apify

Build from the Dockerfile, use INPUT_SCHEMA.json as the input schema. Enable Apify Proxy in the run configuration for best results.

Get Started

Start extracting Flippa listing data and discover profitable opportunities today. 🚀