We extract gig listings, seller profiles, pricing tiers, delivery metrics, and reviews from Fiverr. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Gig Listings objects from fiverr.com. All fields typed and schema-versioned.
"gig_id": "84920184", "title": "I will design a modern minimalist logo", "category": "Graphics & Design", "sub_category": "Logo Design", "seller_id": "design_master_99", "rating": 4.9, "review_count": 1423, "starting_price": 50.0, "pro_seller": false
| # | gig_id | title | category | sub_category | seller_id | rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing Tiers objects from fiverr.com. All fields typed and schema-versioned.
"gig_id": "84920184", "tier_name": "Premium", "price": 150.0, "delivery_days": 3, "revisions": -1, "description": "3 HQ concepts + Source File + Social Media Kit", "source_file_included": true
| # | gig_id | tier_name | price | delivery_days | revisions | features |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller Profiles objects from fiverr.com. All fields typed and schema-versioned.
"seller_id": "design_master_99", "username": "design_master_99", "country": "India", "member_since": "2018-04", "response_time": "1 hour", "last_delivery": "about 2 hours", "languages": "['English', 'Hindi']", "skills": "['Logo Design', 'Illustrator', 'Photoshop']"
| # | seller_id | username | country | member_since | response_time | last_delivery |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from fiverr.com. All fields typed and schema-versioned.
"review_id": "rev_9384719", "gig_id": "84920184", "buyer_name": "tech_startup_ceo", "buyer_country": "United States", "rating": 5.0, "text": "Excellent work and very fast delivery.", "date": "2026-03-14", "helpful_votes": 12
| # | review_id | gig_id | buyer_name | buyer_country | rating | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from fiverr.com. All fields typed and schema-versioned.
"keyword": "python web scraping", "rank": 4, "gig_id": "92837412", "seller_name": "data_ninja", "seller_level": "Level 2", "starting_price": 100.0, "rating": 5.0, "fiverr_choice": true
| # | keyword | rank | gig_id | title | seller_name | seller_level |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Fiverr scraper handles every layer of the platform: gig listings, multi-tier pricing, seller profiles, and the review corpus, with JavaScript rendering, session management, and anti-bot circumvention built in.
Title, category, description, metadata, and portfolio asset links scraped at the gig level.
Capture Basic, Standard, and Premium package details, including delivery days and revision limits.
Extract country of origin, response times, language proficiency, and historical delivery metrics.
Full buyer feedback text, ratings, buyer country, and seller responses paginated across all reviews.
Extract image URLs and video links from the gig gallery to analyse visual presentation.
Track organic gig rank for any search term, including Fiverr Choice and Pro Seller badges.
Identify premium vetted sellers and agency accounts to segment top-tier service providers.
Extract the full category and subcategory tree structure to monitor new service verticals.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences.
Brief in. Clean data out.
Provide keywords, category URLs, or seller usernames. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and CAPTCHA handling for fiverr.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Fiverr deploys aggressive Cloudflare protection and heavily dynamic DOM structures. Here is how we stay resilient.
Fiverr relies on Cloudflare to block automated traffic. Our infrastructure uses residential ISP proxies with realistic TLS fingerprints and automated challenge solvers to maintain access without triggering blocks.
Fiverr loads pricing tiers and reviews dynamically via JavaScript. We run full Playwright browser sessions to trigger these network requests and hydrate the DOM, capturing data that static clients miss.
Search results and category pages often use infinite scroll. Our crawlers intercept backend GraphQL requests to paginate through thousands of results efficiently without rendering unnecessary visual elements.
For large seller tracking, we maintain a hash index of last-seen values per gig. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on layout changes, null-rate spikes, and coverage drops, responding before you notice missing data.
Agencies and freelancers monitor pricing tiers and delivery times to optimise their own service offerings.
Analysts track emerging categories and service demand to identify new trends in the gig economy.
Recruiters identify top-rated freelancers with specific skill sets for direct outreach and contract roles.
Machine learning teams use gig descriptions and portfolio metadata to train text generation and classification models.
Researchers correlate review velocity and pricing changes to map the growth of specific freelance sectors.
Competing freelance platforms extract seller metrics to benchmark their own liquidity and pricing structures.
"Fiverr represents the global standard for freelance service pricing, but extracting nested multi tier gig structures requires purpose built infrastructure."
Most teams underestimate the investment required: reliable Fiverr scraping requires Cloudflare bypass, full JavaScript rendering for pricing tabs, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our fiverr.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and interaction flows, combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required to bypass Cloudflare protection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About fiverr.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Fiverr is generally permissible under applicable law. DataFlirt targets only public, non-authenticated gig and profile data. We do not extract personal private messages or circumvent authentication walls.
We use residential ISP proxies and full Playwright browser sessions with realistic fingerprints to bypass Cloudflare. Our selectors have multi-layer fallback chains to handle DOM changes.
Yes. We capture Basic, Standard, and Premium tier details, including pricing, delivery times, revisions, and specific features included in each package.
Real-time streaming pipelines achieve sub-60-minute latency for specific keywords or categories. Full category refreshes complete within a 12-hour window.
Our minimum engagements typically start at a defined list of 5,000 sellers or specific category URLs with weekly delivery. Contact us for a scoped quote.
Yes. We provide a sample run of up to 500 gigs or 50 search result pages during the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off gig dump or a continuous price-monitoring feed across 100K sellers, we scope, build, and operate the pipeline. Tell us what you need.
