Fiverr is the world’s largest freelance services marketplace, with millions of active gigs spanning everything from logo design and video editing to software development, AI prompting, and business consulting. For market researchers, competitive intelligence teams, freelance platform operators, and pricing analysts, Fiverr represents an unparalleled dataset of the gig economy in action — real service offerings, real market pricing, real buyer reviews, and real seller performance metrics, updated continuously.
Fiverr does not offer a public API for bulk gig data. The platform’s business model depends on traffic staying within its ecosystem, and data access is tightly restricted. Getting structured gig and seller data at scale requires a scraping approach capable of handling the platform’s dynamic rendering, search pagination, and anti-bot protections.
Fiverr has invested heavily in anti-automation infrastructure. The platform serves a dynamic React application where gig data is loaded asynchronously through internal API calls authenticated with session tokens and device fingerprints. A direct HTTP request to a Fiverr search page or gig URL returns an HTML shell with no gig data — the content only appears after JavaScript hydration completes in a real browser environment.
The layered detection problem: Fiverr operates one of the more sophisticated bot detection stacks among marketplace platforms. Beyond standard Cloudflare protection, Fiverr uses behavioral analysis — mouse movement, scroll behavior, click patterns, time-on-page — to distinguish bots from human browsers. Requests that fail this behavioral fingerprint check receive either empty result sets or are served degraded data designed to waste a scraper’s time while appearing to succeed. This “soft block” pattern is more damaging than a hard error because it is difficult to detect without validating data quality across runs.
Review extraction compounds the challenge. Fiverr review data is critical for understanding seller reputation and buyer satisfaction, but reviews are loaded via infinite scroll rather than paginated URLs. Extracting more than the first visible batch of reviews requires simulating scroll interactions in the browser and managing the incremental loading of additional review batches — each of which triggers new API calls that must pass behavioral validation checks.
At scale, the IP reputation requirements are demanding. Fiverr aggressively blocks data center IP ranges from the major cloud providers, meaning scraping must route through residential proxy networks with high geographic diversity to maintain consistent access across large collection runs. Managing proxy rotation, session persistence, and retry logic across a diverse proxy pool requires infrastructure investment that most teams cannot justify for an internal project.
We maintain a Fiverr Gig Scraper on Apify that handles browser rendering, behavioral fingerprinting bypass, review pagination, and seller profile extraction. You provide search queries or category URLs; it returns structured gig data including pricing tiers, review summaries, and seller performance metrics.
Search by keyword or category:
{
"searchQuery": "logo design",
"maxResults": 200,
"includeReviews": true,
"maxReviewsPerGig": 50
}Or target a specific Fiverr category URL:
{
"categoryUrl": "https://www.fiverr.com/categories/writing-translation/articles-blog-posts",
"sortBy": "best_selling",
"maxResults": 500,
"includeReviews": false
}Each gig returns a structured object:
{
"gigId": "fvr_9234817",
"title": "I will design a modern minimalist logo for your brand",
"sellerUsername": "designstudio_mx",
"sellerLevel": "Top Rated Seller",
"sellerCountry": "Mexico",
"sellerRating": 4.9,
"sellerReviewCount": 2847,
"sellerResponseTime": "1 hour",
"sellerOrdersInQueue": 12,
"packages": [
{
"name": "Basic",
"price": 25,
"deliveryDays": 2,
"revisions": 2,
"description": "1 logo concept, 2 revisions, JPG and PNG files"
},
{
"name": "Standard",
"price": 75,
"deliveryDays": 3,
"revisions": 5,
"description": "3 logo concepts, 5 revisions, all source files"
},
{
"name": "Premium",
"price": 150,
"deliveryDays": 5,
"revisions": "Unlimited",
"description": "5 logo concepts, unlimited revisions, brand guide"
}
],
"category": "Logo Design",
"tags": ["logo", "branding", "minimalist", "modern", "business"],
"gigRating": 4.9,
"reviewCount": 1243,
"url": "https://www.fiverr.com/designstudio_mx/design-a-modern-minimalist-logo",
"thumbnailUrl": "https://fiverr-res.cloudinary.com/..."
}| Field | Type | Description |
|---|---|---|
title | string | Gig title as listed by seller |
sellerUsername | string | Fiverr seller handle |
sellerLevel | string | New Seller, Level 1, Level 2, or Top Rated Seller |
sellerCountry | string | Seller country of origin |
sellerRating | float | Seller’s overall rating (0–5) |
sellerReviewCount | integer | Total reviews across all seller gigs |
packages | array | Basic, Standard, Premium tier details with pricing |
gigRating | float | Rating specific to this gig |
reviewCount | integer | Number of reviews for this gig |
tags | array | Seller-assigned gig tags |
category | string | Fiverr category and subcategory |
When review extraction is enabled, each review returns:
{
"reviewId": "rv_74829301",
"gigId": "fvr_9234817",
"buyerCountry": "United States",
"rating": 5,
"text": "Absolutely nailed the brief. Delivered 3 concepts and the first one was exactly what we needed. Fast communication throughout.",
"sellerResponse": "Thank you! It was a pleasure working on your brand.",
"publishedAt": "2026-04-10",
"verifiedPurchase": true
}Output is available as JSON, CSV, or XLSX. Scheduled runs on Apify let you track pricing changes in specific categories over time, monitor emerging sellers as they gain reviews, or build continuously refreshed datasets of gig market conditions.
The actor uses Pay Per Event pricing at $0.01 per gig listing.
| Volume | Cost |
|---|---|
| 100 gigs | $1.00 |
| 500 gigs | $5.00 |
| 1,000 gigs | $10.00 |
| Category snapshot (2,000 gigs + reviews) | ~$25.00 |
Apify has a free tier for testing. Sign up here if you do not have an account. The actor integrates with Apify’s scheduling, webhook, and dataset APIs so you can run automated gig market monitoring pipelines and pipe results into analytics tools or data warehouses without managing any infrastructure.