MCP Server for Fiverr Data Extraction

Use Bright Data’s enterprise-grade MCP Server to scrape only public Fiverr data. Extract, analyze, and process gigs, profiles, ratings, categories, and reviews at scale—quickly, safely, and reliably.

Get StartedTry the Playground
No credit card required

The Ultimate MCP Tool to Scrape Fiverr Data

Get Started Check the Repo

Want to try the Fiverr MCP without setting up anything?

Visit playground on Smithery

One MCP for the Web

Bright Data MCP for Fiverr lets you extract public Fiverr gigs, sellers, reviews, and price data—never private messages or order info.
Search
  • Search public gigs by category, keyword, or pricing
  • Extract gig titles, URLs, descriptions, and packages
  • Get seller names, tags, images, and rating info
Crawl
  • Crawl public seller profiles, gig list, and reviews
  • Export ratings, completion rate, and delivery times
  • Track featured services, trending gigs, and prices
Access
  • Access only public data—never messages or orders
  • Bypass open-access limits—no login or cookies needed
  • Collect price, packages, and public review data in real time
Navigate
  • Automate browsing of public gig and seller pages at scale
  • Bulk extract public reviews, seller stats, and gig info
  • Mimic buyer behavior—never access private areas
Get Started Check the Repo
get inspired

See what people are building

Discover more

Ready to Supercharge Fiverr Scraping?

Get started with Fiverr MCP Server in minutes. No setup required.

Try it now
No credit card required

Fiverr MCP Server FAQs

The Fiverr MCP Server is a specialized integration that empowers your AI agents to access real-time public data from Fiverr. It acts as a bridge, allowing tools like Claude, Cursor, and custom LLMs to search, extract, and interact with Fiverr content dynamically.

Built on Bright Data's robust infrastructure, the Web MCP Server handles the complexities of web data extraction behind the scenes. It automatically manages proxy rotation, CAPTCHA solving, and unlocking technology to ensure your AI receives structured, reliable data from Fiverr without getting blocked.

The data is completely real-time. Unlike databases that can become outdated, the Fiverr MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or profile information available.

Yes! We offer a generous free tier that includes 5,000 requests per month. This allows developers and businesses to test the Fiverr MCP Server, build prototypes, and perform light data extraction at no cost before scaling up.

Yes. Beyond retrieving static data, the server supports full browser automation. Your agents can be instructed to navigate Fiverr pages, click buttons, handle infinite scrolling, and even take screenshots, enabling complex workflows that simulate real user behavior.

You have the choice. You can use our fully managed Remote MCP for instant access with zero infrastructure setup, or you can deploy the Local MCP if you require on-premise control and custom environment configurations for your Fiverr projects.

Our Web MCP Server is designed for seamless integration with popular AI clients. It works natively with Claude Desktop, Cursor, Windsurf, and diverse agentic frameworks like LangChain, making it easy to add Fiverr data capabilities to your existing workflows.

Rapid mode is free and ideal for everyday tasks like SERP lookups and basic text extraction. Pro mode unlocks premium capabilities for Fiverr, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.

Absolutely. The Fiverr MCP Server is built with strict adherence to data protection regulations, including GDPR and CCPA. We only access publicly available web data, ensuring your AI operations remain compliant and ethically sound.

The server delivers data in clean, AI-ready formats. Depending on your specific needs, you can retrieve Fiverr data as structured JSON objects for precise analysis or as simplified Markdown text optimized for LLM context windows.