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Flippa Scraper

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Pay per usage

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Flippa Scraper

Flippa Scraper

Extract live Flippa data: website listings, valuations, seller profiles, and marketplace analytics. Monitor domain sales, digital asset pricing, and competitive opportunities. Perfect for investors tracking online business acquisitions and market benchmarks.

Pricing

Pay per usage

Rating

0.0

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Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

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0

Bookmarked

3

Total users

2

Monthly active users

2 days ago

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Flippa Listings Scraper

Extract clean, flat listing data from Flippa using category URLs such as websites, apps, domains, SaaS, web apps, and Adsense-focused pages. Build acquisition pipelines, monitor niches, and export structured records without nested arrays or object blobs.

Features

  • Multi-type URL support — Works with Flippa websites, apps, domains, search, and buy/... category URLs.
  • Flat dataset output — Returns clean key-value records (no nested arrays/objects in output fields).
  • Keyword filtering — Add optional keyword targeting with query[keyword].
  • Pagination control — Scrapes multiple pages per URL with configurable limits.
  • Null/empty cleanup — Removes null and empty values from each output item.

Use Cases

Deal Sourcing

Track new listings for websites, SaaS projects, apps, and domains in one dataset.

Niche Monitoring

Monitor categories like Adsense, SaaS, ecommerce, and web apps over time.

Market Benchmarking

Compare pricing, monetization, and verification status across listing types.


Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlsArrayNo[{ "url": "https://flippa.com/websites" }]One or more Flippa URLs (websites/apps/domains/search/buy links).
keywordStringNo"shopify"Optional keyword filter.
results_wantedIntegerNo20Maximum listings to save.
max_pagesIntegerNo20Maximum pages per start URL.
proxyConfigurationObjectNo{ "useApifyProxy": false }Proxy configuration.

Output Data

Flat output fields include:

FieldTypeDescription
listing_idStringListing ID.
listing_urlStringListing URL.
titleStringListing title.
property_typeStringProperty type.
categoryStringCategory name.
monetizationStringMonetization model.
sale_methodStringSale method.
statusStringListing status.
countryStringCountry.
priceNumberNumeric price.
price_textStringFormatted price.
monthly_profitNumberParsed monthly profit.
monthly_revenueNumberParsed monthly revenue.
integrationsStringComma-separated integrations/providers.
verification_providersStringComma-separated verification providers.
badge_labelsStringComma-separated badge labels.
listing_groupStringresults or early_access_listings.
source_pageNumberPage number.
source_urlStringURL that produced the item.

Usage Examples

Websites

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

Domains

{
"startUrls": [{ "url": "https://flippa.com/domains" }],
"results_wanted": 30,
"max_pages": 3
}
{
"startUrls": [
{ "url": "https://flippa.com/buy/sitetype/saas" },
{ "url": "https://flippa.com/buy/monetization/adsense" }
],
"results_wanted": 50,
"max_pages": 2
}

Web Apps + Keyword

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

Sample Output

{
"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 Native Flippa Category URLs

  • Use direct Flippa category links for best targeting.
  • Examples: websites, apps, domains, buy/sitetype/saas, buy/monetization/adsense.

Keep Runs Efficient

  • Start with 20-50 results for validation.
  • Increase max_pages only when needed.

Scheduling

  • Run on a schedule to monitor newly listed deals and pricing changes.

Integrations

  • Google Sheets — Track and score opportunities.
  • Airtable — Build searchable acquisition pipelines.
  • Make / Zapier — Trigger automations.
  • Webhooks — Push data to internal systems.

Export Formats

  • JSON
  • CSV
  • Excel
  • XML

Frequently Asked Questions

Can this scrape domains, apps, and SaaS too?

Yes. Provide relevant Flippa URLs in startUrls.

Is output flattened?

Yes. The dataset is flat and cleaned for analysis workflows.

Are null values included?

No. Null and empty values are removed before saving records.

Can I pass multiple URLs in one run?

Yes. Add multiple entries in startUrls.


Use this actor responsibly and comply with Flippa terms and applicable laws in your jurisdiction.