Flippa Scraper

Slug: fatihtahta/flippa-scraper

Overview

Flippa collects structured marketplace listing data such as titles, prices, sale methods, monetization types, and verification indicators. It also captures key business attributes like property type, location, revenue signals, and badges when available. Flippa is a leading marketplace for buying and selling online businesses, making this data valuable for market intelligence and deal evaluation. The actor automates collection across searches, categories, and listings to deliver consistent results. This saves time and reduces manual effort while keeping datasets up to date.

Why Use This Actor

• Market research / analytics: Track listing volumes, price ranges, and monetization trends across categories and geographies.
• Product & content teams: Identify emerging niches, validate content ideas, and benchmark category performance.
• Developers / data engineering pipelines: Feed dashboards, ETL workflows, and data warehouses with structured records.
• Lead gen / enrichment: Build prospect lists, enrich CRM records, and segment targets by price or property type.
• Monitoring / competitive tracking: Watch new listings, price changes, and category shifts over time.

Input Parameters

Provide any combination of URLs, queries, and filters to tailor what you collect.

Parameter	Type	Description	Default
startUrls	string[]	One or more Flippa search, category, or individual listing URLs to collect directly.	–
queries	string[]	Search keywords to discover listings.	–
type	string	Scraping mode for discovery. Allowed values: Search, Buy by Category, Invest.	"Search"
limit	integer	Maximum number of listings to collect per input.	50000
proxyConfiguration	object	Connection settings for Apify proxy usage.	Apify proxy with RESIDENTIAL group

Example Input

{
  "startUrls": [
    "https://flippa.com/buy/sitetype/saas?search_template=most_relevant&filter%5Bsale_method%5D=auction,classified"
  ],
  "queries": ["ai email tool", "b2b saas"],
  "type": "Search",
  "limit": 2000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

6.1 Output destination

The actor writes results to an Apify dataset as JSON records. And the dataset is designed for direct consumption by analytics tools, ETL pipelines, and downstream APIs without post-processing.

6.2 Record envelope (all items)

Every record includes stable identifiers:

• type (string, required)
• id (number, required)
• url (string, required)

Recommended idempotency key: type + ":" + id

Use this key to deduplicate and upsert records when the same listing appears in multiple inputs or runs.

6.3 Examples

Example: listing (type = "listing")

{
  "type": "listing",
  "id": 11940247,
  "url": "https://flippa.com/11940247",
  "title": "A 12 Y/O AI-enhanced, Cross-platform Email Management Solution for Professionals and Individual Users",
  "summary": "A 12 Y/O AI-enhanced, Cross-platform Email Management Solution for Professionals and Individual Users",
  "price": 5610000,
  "currencyLabel": "USD $",
  "saleMethod": "classified",
  "saleMethodTitle": "Asking Price",
  "monetization": "Services & Subscriptions",
  "propertyType": "SaaS",
  "location": "CA, United States",
  "country": "CA, United States",
  "revenueAverage": 160152,
  "profitAverage": "58,202",
  "endAt": "2026-04-10T20:17:16+00:00",
  "hasVerifiedTraffic": true,
  "hasVerifiedRevenue": false,
  "badges": ["Broker", "Sponsored"],
  "sponsored": true,
  "brokerSeller": true,
  "thumbnail": "https://static.flippa.com/assets/search/placeholders/saas-0488f8c6251392f231d0d07ca10bf17ae3cd138d72e690cf724f0b3e74fded21.svg",
  "integrations": ["google_analytics", "google_analytics", "google_analytics", "google_analytics"]
}

Field reference

Listing fields (type = "listing")

• title (string, required): Listing title as shown on Flippa.
• summary (string, optional): Short summary or headline.
• price (number, optional): Current price or ask when available.
• currencyLabel (string, optional): Currency label for the price.
• saleMethod (string, optional): Sale method identifier (e.g., classified).
• saleMethodTitle (string, optional): Human-readable sale method label.
• monetization (string, optional): Monetization category.
• propertyType (string, optional): Property or asset type.
• location (string, optional): Listing location text.
• country (string, optional): Country or region label.
• revenueAverage (number, optional): Average revenue value when present.
• profitAverage (string, optional): Average profit value as displayed.
• endAt (string, optional): Listing end date/time.
• hasVerifiedTraffic (boolean, optional): Verified traffic indicator.
• hasVerifiedRevenue (boolean, optional): Verified revenue indicator.
• badges (array[string], optional): Badge labels (e.g., Sponsored, Broker).
• sponsored (boolean, optional): Sponsored placement flag.
• brokerSeller (boolean, optional): Broker-managed listing flag.
• thumbnail (string, optional): Listing thumbnail URL.
• integrations (array[string], optional): Connected integrations list.

Data guarantees & handling

• Best-effort extraction: fields may vary by region/session/availability/UI experiments.
• Optional fields: null-check in downstream code.
• Deduplication: recommend type + ":" + id.

How to Run on Apify

1. Open the Actor in Apify Console.
2. Configure your search parameters (e.g., category/practice area, state/region, optional city).
3. Set the maximum number of outputs to collect.
4. Click Start and wait for the run to finish.
5. Download results in JSON, CSV, Excel, or other supported formats.

Scheduling & Automation

Scheduling

Automated Data Collection Schedule recurring runs to keep your dataset fresh and consistent over time.

• Navigate to Schedules in Apify Console
• Create a new schedule (daily, weekly, or custom cron)
• Configure input parameters
• Enable notifications for run completion
• (Optional) Add webhooks for automated processing

Integration Options

• Webhooks: Trigger downstream actions when a run completes
• Zapier: Connect to 5,000+ apps without coding
• Make (Integromat): Build multi-step automation workflows
• Google Sheets: Export results to a spreadsheet
• Slack/Discord: Receive notifications and summaries
• Email: Send automated reports via email

Performance

Estimates:

• Small runs (< 1,000 outputs): ~2–3 minutes
• Medium runs (1,000–5,000 outputs): ~5–15 minutes
• Large runs (5,000+ outputs): ~15–30 minutes

Execution time varies based on filters, result volume, and how much information is returned per record.

Compliance & Ethics

Responsible Data Collection

This actor collects publicly available business listing and marketplace data from Flippa.com for legitimate business and research purposes, including:

• Online business & startup research and market analysis
• Valuation benchmarking and trend analysis across digital asset categories
• Identifying acquisition opportunities and comparable listings

This section is informational and not legal advice.

Best Practices

• Use collected data in accordance with applicable laws, regulations, and the target site’s terms
• Respect individual privacy and personal information
• Use data responsibly and avoid disruptive or excessive collection
• Do not use this actor for spamming, harassment, or other harmful purposes
• Follow relevant data protection requirements where applicable (e.g., GDPR, CCPA)

Support

For help, open an issue from the actor page in Apify Console. Include the input you used (redacted if needed), the run ID, expected vs. actual behavior, and an optional small output sample.