LAGIC
Lead Audience Growth Intelligence Computing
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Fiverr Listings Scraper — Fiverr | Lagic

Built ForFreelance & Gig EconomyDigital Marketing AgenciesSoftware Development

Detailed Data on Fiverr Gigs and Sellers

Curated by Lagic·Verified working

Configure Agent

Add URL(s) of pages to extract gig data.

Maximum number of items to scrape from each URL.

Results to deliver

200 credits

This agent actively searches live listings — results may vary. You are only charged for what is delivered, up to this number.

Lagic Proxy

Country auto-rotated. Need a specific region? Contact support.

Pricing

2 credits per result
✓ 30 free credits on signup✓ Refund if 0 results✓ No card required

Sample Data Preview

Gig title and unique IDService price and delivery durationURL of the main gig imageSeller's display name, country, seller level, rating score, and total rating countSeller's profile URLDirect URL to the gig listing
Sample Text...$19.99https://...Sample Text...https://...https://...
Sample Text...$19.99https://...Sample Text...https://...https://...
..................
Exports as:CSVXLSXJSON

Overview

This tool extracts comprehensive data from Fiverr gig listings, including pricing, seller ratings, service categories, and specific metadata like artistic techniques or programming languages, ideal for market research and competitor analysis.

The Fiverr Listings Scraper is designed to collect publicly available information directly from Fiverr gig listings. It helps users gather essential data points for market analysis, competitor benchmarking, and understanding service trends within the gig economy. ### What Data You Get This tool provides a rich dataset for each gig, including its unique ID, title, advertised price, and expected delivery duration. You'll also receive critical information about the seller, such as their display name, country of origin, seller level (e.g., Level 1, Level 2, Top Rated), their overall rating score, and the total count of their ratings. Direct URLs to both the gig and the seller's profile are included. ### Deep Dive into Service Details with Metadata Beyond basic gig information, the scraper captures extensive metadata, offering granular insights into the specific services offered. This includes fields like `service_type`, `artistic_technique`, `design_style`, `file_format`, `genre`, `illustration_style`, `logo_type`, `main_type`, `purpose`, `style`, `theme`, `effect_type`, `expertise`, `language`, `lesson_type`, `mixing_type`, `software`, `technology`, `topic`, `ai_type`, `app_type`, `application_type`, `backend_framework`, `desktop_frameworks`, `development_technology`, `frameworks`, `frontend_framework`, `lesson_purpose`, `low_no_code_builders`, `no_low_code_builders`, `platform`, `platform_and_tool`, `plugins`, `programming_language`, `student_age`, `tools`, `website_features`, `website_type`, `article_type`, `blog_topic`, `business_model`, `content_type`, `industry`, `professional_industry`, `tone`, `ad_format`, `ad_network`, `digital_platform`, `management_tools`, `market_expertise`, `placement`, `platform_type`, and `type`. These fields allow for a highly detailed analysis of niche services and skill sets. ### Agency Information For gigs offered by agencies, the tool also identifies `agencyName`, `agencyEstablished` year, and `agencyHighlights`, providing context on larger service providers.

Key Capabilities

  • ✓ Gig title and unique ID
  • ✓ Service price and delivery duration
  • ✓ URL of the main gig image
  • ✓ Seller's display name, country, seller level, rating score, and total rating count
  • ✓ Seller's profile URL
  • ✓ Direct URL to the gig listing
  • ✓ Category and subcategory IDs
  • ✓ Detailed service metadata (e.g., artistic technique, programming language, industry, tone, software used)
  • ✓ Indication if 'extra fast' delivery is offered
  • ✓ Agency name, establishment year, and highlights (if applicable)
  • ✓ Freelancers researching pricing strategies and service offerings before launching or optimizing their own Fiverr gigs.
  • ✓ Agencies monitoring competitor services, identifying top-performing sellers, and analyzing market demand in specific niches.
  • ✓ Marketing researchers analyzing trends in digital services, popular content types, and demand for specific creative or technical skills.
  • ✓ Business owners looking to outsource projects, using data to compare service providers, pricing, and specific skill sets.
  • ✓ Investors or analysts studying the gig economy for market trends, growth areas, and the prevalence of certain technologies or services.
  • ✓ Content strategists identifying popular topics, writing tones, and article types that resonate with different industries on Fiverr.
  • ✓ Developers tracking popular programming languages, frameworks, and tools offered by other freelancers to spot emerging tech trends.

Field Dictionary

How To Run This Extractor

1

Copy the URLs of the Fiverr search result pages or category pages you intend to analyze.

2

Paste these 'Search URLs' into the designated input field within the tool.

3

Optionally, set the 'Max items per URL' to control the maximum number of gigs extracted from each provided page.

4

Run the tool to initiate the extraction of gig and seller data from the specified Fiverr pages.

5

Once the run is complete, download your organized and structured data in your preferred export format.

Frequently Asked Questions

Do I need coding skills to use this tool?
No, you just need to provide the Fiverr search or category URLs you want to scrape. No coding or technical expertise is required.
What export formats are available for the extracted data?
Is this tool compliant with Fiverr's terms of service?
Can I scale my data collection with this tool?
Is the data collected suitable for client work?
How does this tool differ from manually browsing Fiverr?
How reliable is the data extracted by this tool?
Can I schedule the tool to run at regular intervals?
How is the cost of using this tool determined?
What kind of detailed service metadata can I expect?
Does it provide information about the sellers themselves?
Can I get information on whether a gig is offered by an agency?