Flippa Business Listings Scraper
Pricing
from $11.99 / 1,000 result items
Flippa Business Listings Scraper
Scrapes Flippa business listings by search query, category, price range, revenue range, or direct URL. Returns each listing as a flat row with price, revenue, profit, and seller details.
Pricing
from $11.99 / 1,000 result items
Rating
5.0
(1)
Developer
ParseForge
Maintained by CommunityActor stats
1
Bookmarked
21
Total users
6
Monthly active users
5 days ago
Last modified
Categories
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Flippa Business Listings Scraper
Scrape Flippa business listings by search, category, price, or revenue, up to a million per run. Every listing comes with its price, revenue, profit, and seller details. No login or API key. Export to CSV, JSON, Excel, or XML.
Flippa's official API requires a partnership and rate-limits you. This reads the public business listing pages directly, filtered by search term, category, price, or revenue, and returns each match in one fixed schema. It is the fastest way to build a dataset of online businesses for sale.
| Who uses it | What they scrape Flippa for |
|---|---|
| Market researchers | Which online business niches are most active this month |
| Investors | A shortlist of listings that meet their price and revenue criteria |
| Business brokers | Comparable sales data to price a client's business |
| Data analysts | A clean dataset of listing metrics for trend analysis |
What it does
This Actor collects Flippa business listings by search query, category, price range, revenue range, or direct URL, and returns each one as a flat row.
- ๐ Search filters: search term, category, price range, revenue range, and sort order.
- ๐ Direct URLs: paste any Flippa search or listing URL to scrape exactly those results.
- ๐ Computed signals: listing age, price-to-revenue multiple, and revenue growth where available.
- ๐ Flat output: one row per listing, ready for CSV, JSON, Excel, or XML export.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Flippa data
๐ Track market trends.
A market researcher runs the Actor weekly with a category filter to see which business models are gaining listings and price momentum.
๐ฐ Find acquisition targets.
An investor sets priceMin and revenueMin to get a shortlist of profitable businesses within budget, then exports to CSV for due diligence.
๐ Build comparable sales.
A business broker scrapes sold listings in a niche to justify a valuation for a client's website.
๐ Monitor new listings.
A data analyst schedules the Actor daily with a search term and sortBy newest to catch fresh opportunities before competitors.
Why choose this scraper
| What you get | |
|---|---|
| No API key | Scrape public Flippa pages without registration or rate limits |
| Flexible input | Use a direct URL or combine search term, category, price, and revenue filters |
| Scalable | Collect up to 1,000,000 listings per run |
| Structured data | Every listing returns the same flat schema for easy analysis |
How it compares
This Actor focuses on flexible filtering and high-volume scraping of Flippa listings, while competitors may offer API access or email extraction.
| Feature | ParseForge | Flippa Scraper API | Flippa Scraper | All-In-One | FLIPPA.com [Only $1๐ฐ] Search by Url | Detail Pages (/w EMAILS) |
|---|---|---|---|---|
| Search by keyword | Yes | Not listed | Yes | Yes |
| Filter by price range | Yes | Not listed | Not listed | Not listed |
| Filter by revenue range | Yes | Not listed | Not listed | Not listed |
| Sort results | Yes | Not listed | Not listed | Not listed |
| Scrape direct URL | Yes | Not listed | Not listed | Yes |
| Extract seller emails | Not listed | Not listed | Not listed | Yes |
| API access | Not listed | Yes | Not listed | Not listed |
Configure the run
Drive the Actor from a Flippa search URL or from search filters, alone or together, and filters run as each listing is read so only matches reach your dataset. The Input tab lists every parameter.
A first run with the defaults:
{"startUrl": "https://flippa.com/search?query[keyword]=food","maxItems": 10}
A larger pull:
{"startUrl": "https://flippa.com/search?query[keyword]=food","maxItems": 200}
Pricing
Pay-per-result: $0.01599 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $1.60 |
| 1,000 results | $15.99 |
| 10,000 results | $159.90 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the Flippa Business Listings Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to Flippa through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/flippa-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that your search filters are not too restrictive. Try broadening the price or revenue range, or use a more general search term. Also ensure you are not using both startUrl and search filters.
The Actor stops before reaching maxItems.
Flippa may have fewer listings than your maxItems, or the search returned no more pages. Verify your filters and try a different sort order.
I get an error when using startUrl.
Make sure the URL is a valid Flippa search or listing URL, and that it is not combined with search filters. Use only one input method.
Some fields are empty in the output.
Not all listings have every field populated. Empty fields mean the data was not present on the public page.
The run is slow.
Reduce maxItems or narrow your filters to limit the number of pages to scrape. You can also increase the Actor's memory in the run settings.
FAQ
| Question | Answer |
|---|---|
| Do I need a Flippa account or API key? | No. The Actor scrapes public listing pages directly, so no login or API key is required. |
| Can I scrape a specific Flippa search URL? | Yes. Paste any Flippa search URL into the startUrl field, and the Actor will collect all listings from that page and pagination. |
| How do I filter by price or revenue? | Use the priceMin, priceMax, revenueMin, and revenueMax fields in the search filters section. They are mutually exclusive with startUrl. |
| What data does each listing include? | Each row includes the listing title, URL, price, revenue, profit, category, seller information, and other details available on the public page. |
| Can I sort the results? | Yes. Use the sortBy field to sort by price, revenue, newest, or oldest. |
| How many listings can I scrape in one run? | You can set maxItems up to 1,000,000. The Actor will stop after reaching that number. |
| What output formats are supported? | The Actor returns data in JSON, and you can export to CSV, Excel, or XML from the Apify platform. |
| Is this legal? | Scraping public data is generally allowed, but you should review Flippa's terms of service and comply with applicable laws. |
| Can I schedule this Actor to run automatically? | Yes. Use Apify's scheduler to run it daily, weekly, or at any interval. |
| Does it handle pagination? | Yes, the Actor automatically follows pagination links to collect all listings up to maxItems. |
Related actors
Browse the full ParseForge collection for more scrapers.
๐ Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
โ ๏ธ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Flippa, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
