Fiverr Search & Gigs Scraper (Apify Actor)

A TypeScript-based Apify Actor that searches and extracts gigs from Fiverr. It extracts complete gig metadata, pricing tiers, seller profile details, reviews/ratings, and high-resolution gig image assets directly from Fiverr's server-rendered payload.

Features

• Multi-query search: Scrape multiple keywords in a single run.
• Deep gig details:
  • Gig Information: Gig ID, title, full Fiverr gig URL, slug.
  • Pricing: Starting package price, currency code and symbol.
  • Seller Information: Seller ID, username, display name, country, level badge, avatar URL, online status.
  • Ratings & Reviews: Average review score, total review count.
  • Badges: Fiverr Pro, Fiverr's Choice.
  • Media: Direct links to all high-resolution gig preview images.
• Pagination support: Scrape 1 to multiple pages (48 gigs per page).
• Sorting options: Sort by Relevance, Top Rated, Best Selling, or Newest.

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Input Configuration

The Actor accepts input in JSON format:

{
  "queries": ["logo design", "wordpress developer"],
  "maxPagesPerQuery": 2,
  "sortBy": "relevance",
  "cookie": "u_guid=...; _px3=...;"
}

Parameters

Field	Type	Required	Default	Description
queries	Array<string>	Yes	["logo design"]	Search terms or keywords to query.
maxPagesPerQuery	number	No	1	Maximum pages to scrape per query (48 gigs/page).
sortBy	string	No	"relevance"	Sort results: relevance, rating, best_selling, newest.
cookie	string	No	process.env.FIVERR_COOKIE	Browser session cookie from Fiverr to bypass bot challenges.

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Output Data Structure

Each scraped gig is saved as an item in the Apify default dataset:

{
  "id": 210867357,
  "title": "design a modern minimalist business logo",
  "url": "https://www.fiverr.com/mac_logos/create-modern-minimalist-business-logo-design-in-24-hrs",
  "searchQuery": "logo design",
  "page": 1,
  "price": {
    "amount": 20,
    "currency": "USD",
    "currencySymbol": "$"
  },
  "seller": {
    "id": "55437072",
    "username": "mac_logos",
    "displayName": "Mac",
    "country": "US",
    "avatar": "https://fiverr-res.cloudinary.com/...",
    "level": "level_two_seller",
    "isOnline": true
  },
  "rating": {
    "score": 4.9,
    "count": 389
  },
  "badges": {
    "isPro": false,
    "isChoice": false
  },
  "images": [
    "https://fiverr-res.cloudinary.com/t_main1,q_auto,f_auto/gigs/..."
  ],
  "scrapedAt": "2026-10-05T12:00:00.000Z"
}

---

Getting the Session Cookie

Fiverr employs anti-bot protection (PerimeterX). To ensure seamless scraping:

1. Open fiverr.com in your browser.
2. Open DevTools (F12) -> Network tab.
3. Search for any term on Fiverr.
4. Right-click the search request (gigs?query=...) -> Copy as cURL or copy the Cookie header.
5. Provide this cookie in the Actor input or in your .env file as FIVERR_COOKIE.

---

Local Development

1. Install dependencies:

   $npm install
   

2. Copy .env.example to .env and set FIVERR_COOKIE:

   $FIVERR_COOKIE="u_guid=...; _px3=...;"
   

3. Build and run:

   npm run build
   npm start
   

Or run in development mode with tsx:

$npm run start:dev

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Deploy to Apify

You can push this repository directly to Apify using the Apify CLI:

apify login
apify push

Or link this GitHub repository directly to an Actor on Apify Console.