How to Scrape Fiverr Sellers and Gigs (Step-by-Step Guide)

If you want to scrape Fiverr sellers and gigs for lead generation, market research, or competitor analysis, this guide walks you through the entire process. You will learn what data you can extract, how to automate the collection, and how to turn raw Fiverr listings into actionable business intelligence.

Why Scrape Fiverr Data?

Fiverr is one of the largest freelancing marketplaces in the world, with millions of active sellers across hundreds of service categories. That makes it a goldmine for anyone who needs structured data about freelancers, service pricing, or market trends.

Businesses scrape Fiverr data for several reasons:

• Lead generation — agencies and SaaS companies use seller data to build targeted outreach lists
• Market research — analyze pricing trends, popular services, and demand shifts
• Competitor monitoring — track how competitors position their gigs, what they charge, and how they rank
• Sales prospecting — identify freelancers who match specific criteria for partnerships or hiring

Manually copying this information from Fiverr pages is impractical. There are thousands of listings per category, and the data changes constantly. Automation is the only realistic approach at scale.

What Data You Can Extract from Fiverr

A Fiverr scraper can pull structured data from search result pages and individual gig listings. Here are the key fields you can collect:

This is the kind of data that would take hours to compile manually for even a single search query. With a scraper, you can extract thousands of records in minutes.

Common Use Cases for Fiverr Data

Lead Generation

Fiverr data is especially valuable for companies that sell to freelancers or agencies. If you run a SaaS tool for designers, developers, or marketers, Fiverr gives you a list of active professionals along with their specialties, experience level, and contact URLs.

Agencies can also use this data to find subcontractors — filtering by skill, rating, price range, and location to build a vetted shortlist.

Market Research

Want to know the average price for logo design on Fiverr? Or how many sellers offer WordPress development in a specific country? Scraping Fiverr lets you answer these questions with real data instead of guesswork.

Track pricing trends over time, identify underserved niches, or benchmark your own services against the market.

Competitor Monitoring

If you sell services on Fiverr, monitoring your competitors is essential. Track their pricing changes, new gig launches, review velocity, and ranking positions. This data helps you adjust your own strategy to stay competitive.

Sales Prospecting

B2B companies targeting the freelancer economy can use Fiverr data to identify high-value prospects. Filter by seller level, rating, and review count to find established professionals who are more likely to invest in tools and services that improve their business.

Challenges of Scraping Fiverr Manually

Before jumping into the tutorial, it is worth understanding why scraping Fiverr is harder than it looks:

• Anti-bot protection — Fiverr uses various techniques to detect and block automated traffic, including CAPTCHAs and fingerprinting
• Dynamic content loading — gig listings are rendered with JavaScript, so simple HTTP requests will not capture the data
• Pagination complexity — search results span many pages, and the pagination structure can change
• IP blocking — too many requests from the same IP will get you temporarily or permanently blocked
• Maintenance overhead — Fiverr updates its frontend regularly, which means custom scrapers break and need constant fixing

Building and maintaining your own scraper is a significant time investment. For most use cases, using a pre-built, maintained solution is far more practical.

Step-by-Step: How to Scrape Fiverr Sellers

Here is how to scrape Fiverr listings using the Fiverr Listings Scraper on Apify.

Step 1 — Define Your Search Query

Start by deciding what kind of freelancers or gigs you want to extract. Go to Fiverr and perform a search to get the search URL. For example:

• Logo design — https://www.fiverr.com/search/gigs?query=logo+design
• SEO services — https://www.fiverr.com/search/gigs?query=seo+services
• WordPress development — https://www.fiverr.com/search/gigs?query=wordpress+development

You can also use category pages or apply Fiverr's built-in filters (price range, seller level, delivery time) to narrow down results before scraping.

Step 2 — Run the Fiverr Scraper

Head to the Fiverr Listings Scraper on Apify and configure your run:

1. Paste your Fiverr search URL(s) into the input field
2. You can add multiple URLs to scrape different categories or queries in a single run
3. Click Start to begin the extraction

The scraper handles all the heavy lifting — browser rendering, pagination, anti-bot bypasses, and data parsing.

Step 3 — Export Your Results

Once the scraper finishes, you can export the results in multiple formats:

• JSON — ideal for developers building data pipelines or integrations
• CSV — perfect for spreadsheet analysis in Excel or Google Sheets
• API — access results programmatically via the Apify API for automated workflows

Each record includes the full set of structured fields: seller name, gig title, pricing, ratings, reviews, location, delivery time, and direct URLs.

Step 4 — Use the Data

With your exported dataset, you can:

• Import into a CRM for sales outreach
• Analyze pricing and trends in a spreadsheet
• Feed into a lead scoring model
• Build dashboards to monitor market changes over time
• Enrich with additional data from other sources like Clutch.co or BBB

Ready to try it? Run the Fiverr Listings Scraper on Apify and get your first dataset in minutes.

Example Output (Real Data Preview)

Here is what the actual output looks like from the Fiverr Listings Scraper. Each gig listing returns a structured JSON object:

{
  "gigId": 301650643,
  "title": "be your front end web developer using HTML, CSS, bootstrap, react js and jquery",
  "categoryId": 10,
  "subCategoryId": 514,
  "sellerName": "musttechusa",
  "sellerDisplayName": "Must Tech",
  "sellerCountry": "US",
  "sellerLevel": "level_two_seller",
  "sellerRatingCount": 233,
  "sellerRatingScore": 4.8,
  "sellerUrl": "https://www.fiverr.com/musttechusa",
  "gigUrl": "https://www.fiverr.com/musttechusa/be-your-front-end-web-developer...",
  "price": 100,
  "duration": 2,
  "extraFast": false,
  "metadata": {
    "website_type": ["landing_page"],
    "programming_language": ["html_css", "javascript", "php", "python", "typescript"],
    "website_features": ["marketing", "payment", "social_media", "gallery"]
  }
}

Key things to notice:

• Seller details — name, country, Fiverr level, and direct profile URL make it easy to filter and reach out
• Pricing and delivery — compare rates and turnaround times across hundreds of sellers
• Ratings and reviews — quantitative quality signals for scoring and filtering
• Metadata — rich categorization data including programming languages, website types, and features offered
• Direct URLs — both seller profile and gig page links for quick reference

This structured format makes it straightforward to import into any database, CRM, or analytics tool.

Try the Fiverr Listings Scraper now — no coding required.

Automating Fiverr Data Collection

For ongoing market monitoring or lead generation, you do not want to run the scraper manually every time. The Apify platform supports full automation:

Scheduled Runs

Set up recurring scrapes on any schedule — daily, weekly, or monthly. The scraper runs automatically and stores results in a dataset you can access anytime.

API Integration

Use the Apify API to trigger scraper runs programmatically and retrieve results. This lets you integrate Fiverr data into your existing workflows:

• Feed results into a CRM automatically
• Trigger alerts when new sellers match your criteria
• Build dashboards that update with fresh data
• Connect to tools like Zapier, Make, or custom pipelines

Node.js Example

For a complete working example showing how to call this scraper from Node.js, see the GitHub repository.

Webhooks

Configure webhooks to get notified when a scraper run completes. This is useful for event-driven architectures where you want to process data as soon as it is available.

For a deeper dive into B2B data extraction, check out our guide on how to scrape Clutch companies and agencies.

Legal and Ethical Considerations

Web scraping occupies a well-established legal space, but responsible practice matters:

• Public data only — the Fiverr scraper extracts publicly visible information that anyone can see by visiting Fiverr. No login or authentication is required.
• Respect rate limits — the scraper is designed to make requests at a reasonable pace to avoid overloading Fiverr's servers
• No personal data abuse — use collected data for legitimate business purposes like market research and B2B outreach. Do not spam or harass sellers.
• Compliance — if you operate in the EU or California, ensure your data handling complies with GDPR or CCPA. This primarily applies to how you store and process the data, not the collection itself.

For more context on navigating anti-bot systems ethically, see our resource on anti-bot protections and how they work.

Alternatives to Scraping Fiverr

Fiverr's Official API

Fiverr does offer an API, but it is designed for affiliates and has significant limitations. It does not provide the same depth of data you get from scraping search results — particularly seller-level details like ratings, review counts, and pricing across gig tiers. Access is also restricted and requires approval.

Manual Export

You could manually browse Fiverr and copy data into a spreadsheet. This works for a handful of listings but becomes impractical beyond 20-30 records. It is also error-prone and impossible to maintain over time.

Other Scraping Tools

Generic web scraping tools like Scrapy or Puppeteer can be configured to scrape Fiverr, but you will need to handle anti-bot detection, JavaScript rendering, and ongoing maintenance yourself. For most teams, the development and maintenance cost far outweighs the benefit.

The Fiverr Listings Scraper gives you a ready-to-use solution that is actively maintained and handles all the technical complexity.

Why Use a Pre-Built Fiverr Scraper

Building a custom Fiverr scraper sounds straightforward until you start dealing with the reality:

• Development cost — a production-quality scraper takes days or weeks to build, depending on the scope
• Maintenance — Fiverr changes its frontend frequently. Every update can break your scraper, requiring immediate fixes to keep your data pipeline running
• Infrastructure — you need proxy rotation, browser automation, and error handling. Running this reliably costs time and money.
• Reliability — a maintained scraper on Apify handles edge cases, retries, and anti-bot measures that a custom solution will miss

Unless you have very specific requirements that no existing tool can meet, using a maintained scraper is the practical choice. It lets you focus on what to do with the data instead of how to collect it.

Try the Fiverr Listings Scraper

The Fiverr Listings Scraper extracts structured data from Fiverr search results — seller names, gig titles, pricing, ratings, reviews, delivery times, and direct URLs.

What you get:

• Structured JSON or CSV output ready for analysis
• All key seller and gig data fields in a single export
• Scheduled runs for ongoing data collection
• API access for integration into your workflows
• No coding or scraper maintenance required

Start scraping Fiverr now — your first run takes less than 5 minutes to set up.

If you need help setting up automated scraping pipelines or want a custom solution for your specific use case, check out our web scraping guide or explore our full lead generation scraping toolkit.

Frequently Asked Questions

Is scraping Fiverr legal?

Scraping publicly available data from Fiverr is generally legal. The data is visible to anyone who visits the site without logging in. However, you should always use the data responsibly, comply with local privacy regulations, and avoid overloading Fiverr's servers with excessive requests.

Does Fiverr have an API?

Yes, Fiverr has an affiliate API, but it is limited in scope and requires approval. It does not expose the same level of detail you can get from scraping — particularly seller-level data like individual ratings, review counts, pricing tiers, and metadata.

What data can you extract from Fiverr?

You can extract seller names, display names, gig titles, pricing, ratings, review counts, seller levels, countries, delivery times, category information, profile URLs, gig URLs, and rich metadata like programming languages and service features.

Can I export Fiverr gigs to CSV?

Yes. The Fiverr Listings Scraper supports exporting results as JSON, CSV, or via API. CSV exports can be opened directly in Excel or Google Sheets for analysis.

How often can I scrape Fiverr?

You can schedule scraper runs as often as you need — daily, weekly, or on a custom schedule. The scraper uses responsible request rates to avoid issues. For most market research and lead generation use cases, weekly runs provide a good balance of freshness and efficiency.

How many Fiverr listings can I scrape at once?

The scraper can process multiple search URLs in a single run, each containing dozens of pages of results. There is no hard limit on the number of listings — the run time scales with the volume of data you request.

About the Author

This guide was written by Piotr, a software engineer with hands-on experience building and maintaining web scrapers at scale. He develops and maintains a suite of data extraction tools on the Apify platform, helping businesses automate their data collection workflows.