Is it legal to scrape Fiverr?

Scraping publicly accessible information like gig titles, prices, and seller ratings for personal or market research purposes is generally considered legal under the First Amendment (US) and similar laws. However, you should not scrape private user data or perform actions that burden their servers, as this may violate their Terms of Service and lead to an IP ban.

How can I bypass the 'Press and Hold' CAPTCHA on Fiverr?

Fiverr uses PerimeterX, which triggers a 'Press and Hold' CAPTCHA when it detects automated behavior. To bypass this, you must use a headless browser with a stealth plugin (like Puppeteer-Stealth) and high-quality residential proxies that pass browser fingerprinting tests.

Does Fiverr have an official API for scraping?

Fiverr offers a 'Fiverr Enterprise' API, but it is primarily for large-scale partners and organizational management. It is not a public API for general market scraping, which is why most researchers rely on web scraping tools to gather competitive intelligence.

What is the most effective tool for scraping Fiverr?

For large-scale data extraction, tools that handle JavaScript rendering and automated proxy rotation (like Automatio or Playwright with residential proxies) are the most effective. Simple HTML parsers like Requests/BeautifulSoup are usually blocked immediately by Fiverr's anti-bot protection.

How often does Fiverr's website structure change?

Fiverr's development team updates the frontend frequently, which means CSS selectors and DOM structures can change monthly. It is recommended to use robust scraping methods that rely on element patterns rather than static class names.

Can I scrape seller contact information?

No, Fiverr hides direct contact information (emails and phone numbers) to prevent buyers from taking transactions off-platform. Scraping can only extract public profile data, reviews, and gig descriptions.

Do I need to be logged in to scrape Fiverr?

No, most Fiverr data—including search results, gig details, and seller profiles—is publicly accessible without an account. It is actually safer to scrape without logging in to protect your account from being flagged or banned for automated activity.

How to Scrape Fiverr | Fiverr Web Scraper Guide

Learn how to scrape Fiverr to extract gig details, freelancer profiles, and market prices. Bypass PerimeterX and Cloudflare for powerful market research.

Start Scraping Free

fiverr.comHard

Coverage:GlobalUnited StatesUnited KingdomIndiaPakistanEurope

Available Data8 fields

TitlePriceLocationDescriptionImagesSeller InfoCategoriesAttributes

All Extractable Fields

Gig TitleSeller NameSeller Level (Pro, Top-Rated)Star RatingTotal Review CountStarting PriceGig DescriptionDelivery TimeSeller LocationSeller Response TimeGig Category/SubcategoryGig Image URLsSeller Profile Link

Technical Requirements

JavaScript Required

No Login

Has Pagination

Official API Available

Anti-Bot Protection Detected

PerimeterX (HUMAN Security)CloudflareCAPTCHA (Press and Hold)IP Rate LimitingBrowser Fingerprinting

View API Documentation

About Fiverr

Learn what Fiverr offers and what valuable data can be extracted from it.

The World's Largest Creative Marketplace

Fiverr is a leading global marketplace for freelance services, connecting businesses with independent professionals offering digital services across hundreds of categories, including graphic design, digital marketing, programming, and video editing. Founded in 2010, the platform has standardized service offerings into 'gigs' with transparent pricing and delivery structures.

Data-Rich Ecosystem for Market Analysis

The website contains millions of active listings, providing a rich source of data on market trends, service demand, and freelancer performance metrics. Scraping Fiverr is highly valuable for conducting market research, monitoring competitor pricing, and identifying high-quality talent for specific niches. By extracting gig titles, prices, and user reviews, companies can gain actionable insights into prevailing market rates.

Strategic Value of Fiverr Data

For businesses, scraping this data is essential for lead generation and building comprehensive directories of specialized service providers. It allows agencies to benchmark their own pricing against global standards and track the emergence of new service categories like AI Prompt Engineering or Metaverse development.

Why Scrape Fiverr?

Discover the business value and use cases for extracting data from Fiverr.

Conduct competitive pricing analysis for freelance services

Generate leads for B2B service companies and SaaS tools

Monitor emerging technology trends and service demand

Perform market research on freelancer demographics and skill sets

Identify top-rated talent for large-scale enterprise recruitment

Scraping Challenges

Technical challenges you may encounter when scraping Fiverr.

Aggressive PerimeterX (HUMAN Security) detection that blocks automated browsers

Heavy reliance on React for dynamic content loading requiring JS execution

Frequent updates to DOM selectors and CSS class names

Rapid IP-based rate limiting on search result pages

CAPTCHA challenges triggered by non-human TLS fingerprints

Scrape Fiverr with AI

No coding required. Extract data in minutes with AI-powered automation.

How It Works

Describe What You Need

Tell the AI what data you want to extract from Fiverr. Just type it in plain language — no coding or selectors needed.

AI Extracts the Data

Our artificial intelligence navigates Fiverr, handles dynamic content, and extracts exactly what you asked for.

Get Your Data

Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.

Why Use AI for Scraping

No-code interface to set up scrapers without technical knowledge

Advanced handling of JavaScript-rendered elements and React components

Built-in rotation of residential proxies to minimize blocking

Cloud-based scheduling for daily or weekly price monitoring

Direct export to Google Sheets, CSV, or JSON for immediate analysis

Start Scraping Free

No credit card requiredFree tier availableNo setup needed

No-Code Web Scrapers for Fiverr

Point-and-click alternatives to AI-powered scraping

Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Fiverr. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.

Typical Workflow with No-Code Tools

Install browser extension or sign up for the platform

Navigate to the target website and open the tool

Point-and-click to select data elements you want to extract

Configure CSS selectors for each data field

Set up pagination rules to scrape multiple pages

Handle CAPTCHAs (often requires manual solving)

Configure scheduling for automated runs

Export data to CSV, JSON, or connect via API

Common Challenges

Learning curve

Understanding selectors and extraction logic takes time

Selectors break

Website changes can break your entire workflow

Dynamic content issues

JavaScript-heavy sites often require complex workarounds

CAPTCHA limitations

Most tools require manual intervention for CAPTCHAs

IP blocking

Aggressive scraping can get your IP banned

Code Examples

import requests
from bs4 import BeautifulSoup

# Note: This basic example will likely be blocked by PerimeterX without residential proxies
url = 'https://www.fiverr.com/search/gigs?query=logo+design'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

try:
    response = requests.get(url, headers=headers, timeout=10)
    if response.status_code == 200:
        soup = BeautifulSoup(response.content, 'html.parser')
        # Selectors on Fiverr change frequently
        gigs = soup.select('.gig-card-layout')
        for gig in gigs:
            title = gig.select_one('h3').text.strip() if gig.select_one('h3') else 'N/A'
            price = gig.select_one('.price').text.strip() if gig.select_one('.price') else 'N/A'
            print(f'Title: {title} | Price: {price}')
    else:
        print(f'Blocked or error: Status {response.status_code}')
except Exception as e:
    print(f'Request failed: {e}')

When to Use

Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.

Advantages

●Fastest execution (no browser overhead)
●Lowest resource consumption
●Easy to parallelize with asyncio
●Great for APIs and static pages

Limitations

●Cannot execute JavaScript
●Fails on SPAs and dynamic content
●May struggle with complex anti-bot systems

from playwright.sync_api import sync_playwright

def scrape_fiverr():
    with sync_playwright() as p:
        # Launching with a real-world browser profile is recommended
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
        page = context.new_page()
        
        # Navigate to a specific search category
        page.goto('https://www.fiverr.com/search/gigs?query=python+scraping')
        
        # Wait for gig cards to load in the React frontend
        page.wait_for_selector('.gig-card-layout')
        
        # Extract data from the page
        gigs = page.query_selector_all('.gig-card-layout')
        for gig in gigs:
            title = gig.query_selector('h3').inner_text()
            price = gig.query_selector('.price').inner_text()
            print({'title': title, 'price': price})
            
        browser.close()

if __name__ == '__main__':
    scrape_fiverr()

When to Use

Use when content loads dynamically via JavaScript, or when you need to interact with the page (clicks, scrolls, form fills). Handles modern anti-bot detection better.

Advantages

●Executes JavaScript like a real browser
●Handles SPAs and dynamic content
●Better anti-bot evasion with stealth plugins
●Can take screenshots and PDFs

Limitations

●Slower than HTTP requests
●Higher memory/CPU usage
●More complex to set up

import scrapy

class FiverrSpider(scrapy.Spider):
    name = 'fiverr_spider'
    start_urls = ['https://www.fiverr.com/search/gigs?query=video+editing']

    def parse(self, response):
        # Fiverr requires custom middleware for JS rendering (like Scrapy-Playwright)
        for gig in response.css('.gig-card-layout'):
            yield {
                'title': gig.css('h3::text').get(),
                'seller': gig.css('.seller-name a::text').get(),
                'price': gig.css('.price::text').get(),
                'rating': gig.css('.rating-score::text').get()
            }

        # Simple pagination handling
        next_page = response.css('a.pagination-next::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

When to Use

Ideal for large-scale crawling projects that need to scrape thousands of pages. Built-in support for rate limiting, retries, and data pipelines.

Advantages

●Built for scale (millions of pages)
●Automatic request throttling
●Built-in data export pipelines
●Middleware system for proxies/headers

Limitations

●Steeper learning curve
●Overkill for small projects
●No native JavaScript rendering

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.goto('https://www.fiverr.com/search/gigs?query=copywriting');
  
  // Wait for the dynamic React content to render
  await page.waitForSelector('.gig-card-layout');
  
  const results = await page.evaluate(() => {
    const items = document.querySelectorAll('.gig-card-layout');
    return Array.from(items).map(item => ({
      title: item.querySelector('h3')?.innerText,
      price: item.querySelector('.price')?.innerText,
      seller: item.querySelector('.seller-name')?.innerText
    }));
  });

  console.log(results);
  await browser.close();
})();

When to Use

Choose this if you're in a Node.js/JavaScript ecosystem or need tight integration with frontend tools. Similar capabilities to Playwright.

Advantages

●Native JavaScript/TypeScript support
●Chrome DevTools Protocol access
●Large ecosystem and community
●Good for JS-heavy projects

Limitations

●Chrome-only (vs Playwright's multi-browser)
●Similar overhead to Playwright
●Less mature stealth options

How to Scrape Fiverr with Code

Python + Requests

import requests
from bs4 import BeautifulSoup

# Note: This basic example will likely be blocked by PerimeterX without residential proxies
url = 'https://www.fiverr.com/search/gigs?query=logo+design'
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
    'Accept-Language': 'en-US,en;q=0.9'
}

try:
    response = requests.get(url, headers=headers, timeout=10)
    if response.status_code == 200:
        soup = BeautifulSoup(response.content, 'html.parser')
        # Selectors on Fiverr change frequently
        gigs = soup.select('.gig-card-layout')
        for gig in gigs:
            title = gig.select_one('h3').text.strip() if gig.select_one('h3') else 'N/A'
            price = gig.select_one('.price').text.strip() if gig.select_one('.price') else 'N/A'
            print(f'Title: {title} | Price: {price}')
    else:
        print(f'Blocked or error: Status {response.status_code}')
except Exception as e:
    print(f'Request failed: {e}')

Python + Playwright

from playwright.sync_api import sync_playwright

def scrape_fiverr():
    with sync_playwright() as p:
        # Launching with a real-world browser profile is recommended
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
        page = context.new_page()
        
        # Navigate to a specific search category
        page.goto('https://www.fiverr.com/search/gigs?query=python+scraping')
        
        # Wait for gig cards to load in the React frontend
        page.wait_for_selector('.gig-card-layout')
        
        # Extract data from the page
        gigs = page.query_selector_all('.gig-card-layout')
        for gig in gigs:
            title = gig.query_selector('h3').inner_text()
            price = gig.query_selector('.price').inner_text()
            print({'title': title, 'price': price})
            
        browser.close()

if __name__ == '__main__':
    scrape_fiverr()

Python + Scrapy

import scrapy

class FiverrSpider(scrapy.Spider):
    name = 'fiverr_spider'
    start_urls = ['https://www.fiverr.com/search/gigs?query=video+editing']

    def parse(self, response):
        # Fiverr requires custom middleware for JS rendering (like Scrapy-Playwright)
        for gig in response.css('.gig-card-layout'):
            yield {
                'title': gig.css('h3::text').get(),
                'seller': gig.css('.seller-name a::text').get(),
                'price': gig.css('.price::text').get(),
                'rating': gig.css('.rating-score::text').get()
            }

        # Simple pagination handling
        next_page = response.css('a.pagination-next::attr(href)').get()
        if next_page:
            yield response.follow(next_page, self.parse)

Node.js + Puppeteer

const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());

(async () => {
  const browser = await puppeteer.launch({ headless: true });
  const page = await browser.newPage();
  
  await page.goto('https://www.fiverr.com/search/gigs?query=copywriting');
  
  // Wait for the dynamic React content to render
  await page.waitForSelector('.gig-card-layout');
  
  const results = await page.evaluate(() => {
    const items = document.querySelectorAll('.gig-card-layout');
    return Array.from(items).map(item => ({
      title: item.querySelector('h3')?.innerText,
      price: item.querySelector('.price')?.innerText,
      seller: item.querySelector('.seller-name')?.innerText
    }));
  });

  console.log(results);
  await browser.close();
})();

What You Can Do With Fiverr Data

Explore practical applications and insights from Fiverr data.

Service Pricing Benchmark

Companies use Fiverr data to set competitive rates for their own freelance services or agency offerings.

How to implement:

1Scrape the top 100 gigs in your specific niche (e.g., Logo Design).
2Extract the starting prices and package tiers.
3Calculate the average, median, and top-tier pricing.
4Adjust your service fees to align with the current market value.

Use Automatio to extract data from Fiverr and build these applications without writing code.

More than just prompts

Supercharge your workflow with AI Automation

Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.

AI Agents

Web Automation

Smart Workflows

Get Started Free

Pro Tips for Scraping Fiverr

Expert advice for successfully extracting data from Fiverr.

Use residential proxies located in the same country you are targeting to avoid region-based blocks.

Implement human-like scrolling and mouse movements if using headless browsers to bypass PerimeterX behavioral detection.

Avoid scraping logged-in accounts as Fiverr monitors account activity more closely than public visitor sessions.

Rotate between mobile and desktop User-Agents to diversify your traffic profile.

Use a 'Press and Hold' CAPTCHA solver if you hit the PerimeterX protection wall frequently.

The best time to scrape for high availability is during off-peak hours in the US Eastern Time Zone.

Testimonials

What Our Users Say

Join thousands of satisfied users who have transformed their workflow

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.

Mohammed Ibrahim

CEO, qannas.pro

I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!

Ben Bressington

CTO, AiChatSolutions

Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Jonathan Kogan

Co-Founder/CEO, rpatools.io

Mohammed Ibrahim

CEO, qannas.pro

Ben Bressington

CTO, AiChatSolutions

Sarah Chen

Head of Growth, ScaleUp Labs

We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.

David Park

Founder, DataDriven.io

The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!

Emily Rodriguez

Marketing Director, GrowthMetrics

Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.

Related Web Scraping

Frequently Asked Questions About Fiverr

Find answers to common questions about Fiverr

How to Scrape Fiverr | Fiverr Web Scraper Guide

About Fiverr

The World's Largest Creative Marketplace

Data-Rich Ecosystem for Market Analysis

Strategic Value of Fiverr Data

Why Scrape Fiverr?

Scraping Challenges

Scrape Fiverr with AI

How It Works

Why Use AI for Scraping

No-Code Web Scrapers for Fiverr

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

What You Can Do With Fiverr Data

Service Pricing Benchmark

SaaS Lead Generation

Trending Skill Analysis

Competitor Talent Discovery

Supercharge your workflow with AI Automation

Pro Tips for Scraping Fiverr

What Our Users Say

Related Web Scraping

How to Scrape Freelancer.com: A Complete Technical Guide

How to Scrape Upwork: A Comprehensive Technical Guide

How to Scrape Arc.dev: The Complete Guide to Remote Job Data

How to Scrape Toptal | Toptal Web Scraper Guide

How to Scrape Guru.com: A Comprehensive Web Scraping Guide

How to Scrape Indeed: 2025 Guide for Job Market Data

How to Scrape Hiring.Cafe: A Complete AI Job Board Scraper Guide

How to Scrape Charter Global | IT Services & Job Board Scraper

Frequently Asked Questions About Fiverr

Is it legal to scrape Fiverr?

How can I bypass the 'Press and Hold' CAPTCHA on Fiverr?

Does Fiverr have an official API for scraping?

What is the most effective tool for scraping Fiverr?

How often does Fiverr's website structure change?

Can I scrape seller contact information?

Do I need to be logged in to scrape Fiverr?

How to Scrape Fiverr | Fiverr Web Scraper Guide

About Fiverr

The World's Largest Creative Marketplace

Data-Rich Ecosystem for Market Analysis

Strategic Value of Fiverr Data

Why Scrape Fiverr?

Scraping Challenges

Scrape Fiverr with AI

How It Works

Why Use AI for Scraping

How to scrape with AI:

Why use AI for scraping:

No-Code Web Scrapers for Fiverr

Typical Workflow with No-Code Tools

Common Challenges

No-Code Web Scrapers for Fiverr

Typical Workflow with No-Code Tools

Common Challenges

Code Examples

How to Scrape Fiverr with Code

Python + Requests

Python + Playwright

Python + Scrapy

Node.js + Puppeteer

What You Can Do With Fiverr Data

Service Pricing Benchmark

SaaS Lead Generation

Trending Skill Analysis

Competitor Talent Discovery

What You Can Do With Fiverr Data

Supercharge your workflow with AI Automation

Pro Tips for Scraping Fiverr

What Our Users Say

Related Web Scraping

How to Scrape Freelancer.com: A Complete Technical Guide

How to Scrape Upwork: A Comprehensive Technical Guide

How to Scrape Arc.dev: The Complete Guide to Remote Job Data

How to Scrape Toptal | Toptal Web Scraper Guide

How to Scrape Guru.com: A Comprehensive Web Scraping Guide

How to Scrape Indeed: 2025 Guide for Job Market Data

How to Scrape Hiring.Cafe: A Complete AI Job Board Scraper Guide

How to Scrape Charter Global | IT Services & Job Board Scraper

Frequently Asked Questions About Fiverr

Is it legal to scrape Fiverr?

How can I bypass the 'Press and Hold' CAPTCHA on Fiverr?

Does Fiverr have an official API for scraping?

What is the most effective tool for scraping Fiverr?

How often does Fiverr's website structure change?

Can I scrape seller contact information?

Do I need to be logged in to scrape Fiverr?