# Fiverr Gig & Seller Scraper - Reviews, Packages, Profiles (`yumitori/fiverr-gig-seller-deep-scraper`) Actor
Scrape FULL Fiverr gig details search-based scrapers can't reach: complete description, all package tiers & prices, FAQ, gallery, plus real review text (with reviewer country & order value) and seller stats (level, response time, languages, member-since). Feed search terms or gig URLs.
- **URL**: https://apify.com/yumitori/fiverr-gig-seller-deep-scraper.md
- **Developed by:** [Yakugusa Yumitori](https://apify.com/yumitori) (community)
- **Categories:** E-commerce, Jobs, Lead generation
- **Stats:** 2 total users, 2 monthly users, 95.2% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $18.00 / 1,000 gig scrapeds
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Fiverr Gig & Seller Deep Scraper — Descriptions, Reviews, Packages & Profiles
The Fiverr scraper that goes **inside the actual gig and seller pages** — returning the full **descriptions, package pricing, real review text, and complete seller profiles** that search-only scrapers can't reach. Feed it search keywords, gig URLs, or seller usernames.
**Every figure is read straight from the live Fiverr page** — real prices, real review text (with reviewer country & order value), real seller stats — never estimated or guessed. No login, no API key, no cookies to paste; it establishes its own session.
> Most Fiverr scrapers only read the **search results page** — so all they can return is a title, price and rating. A top one's own developer admits it: *"I can't add a description — that's all the data I get from Fiverr searches."* This one isn't bound by that ceiling.
### Quick start
```json
{ "searchQueries": ["logo design"], "maxGigsPerSearch": 10, "includeSellerProfiles": true }
````
One keyword → its top gigs, each with full detail, in under a minute. Or target specific gigs/sellers with `gigUrls` / `sellerUsernames`. The built-in proxy works out of the box with bandwidth included — no setup.
### What you get — per gig
The **full description** plus Fiverr's own **`ai_summary`**. **Every package tier** — `name`, `price`, `delivery_days`, `revisions`, included `features`, and paid `extras`. **Every review** — full `text`, star rating, **reviewer country & industry, repeat-buyer & business flags, the order's price range and delivery time, and the actual delivered-work image**. Plus `faq`, `gallery`, `tags`, `rating`, `orders_in_queue`, and the seller's headline stats. Turn on **Include seller profiles** and each gig carries the seller's **full profile embedded**.
### What you get — per seller
`bio`, `one_liner`, **`seller_level`** with overall `rating` / `rating_count`, `country`, `joined_date`, verified / Pro flags, **`languages` (with proficiency) and `skills` (with level + verified flag)**, the full background — **`education`, `work_experience`, `courses`, `certifications`** — `hourly_rate`, `response_time_hours`, and **every gig the seller offers**.
> Empty / `null` fields are normal, not a failure — not every gig has FAQs and not every seller lists certifications. Empty just means it wasn't provided.
### Sample output
```json
{
"type": "gig",
"image": "https://fiverr-res.cloudinary.com/…/gig-cover.png",
"title": "do modern minimalist business premium brand logo design",
"url": "https://www.fiverr.com/milliegrace01/do-modern-minimalist-business-logo-design",
"category": "Graphics & Design", "subcategory": "Logo Design",
"rating": 5, "reviews_count": 43, "orders_in_queue": 3,
"description": "Modern, Minimalist & Timeless Logo Design for Your Brand…",
"packages": [
{ "name": "Starter", "price": 2000, "delivery_days": 2, "revisions": 2, "features": ["Vector file", "3D mockup", "…"] },
{ "name": "Best Seller", "price": 5500, "delivery_days": 2, "revisions": -1 },
{ "name": "Monster", "price": 9500, "delivery_days": 2, "revisions": -1 }
],
"seller": {
"username": "milliegrace01", "seller_level": "LEVEL_TWO", "rating": 4.8,
"country_code": "US", "response_time_hours": 1, "languages": ["en", "it", "nl", "es"]
},
"reviews": { "total_count": 43, "average": 5, "communication": 5, "quality": 5, "value_for_money": 5 },
"reviews_list": [
{ "rating": 5, "comment": "Really impressed with the creativity here…",
"reviewer_country": "GB", "is_business": false, "repeat_buyer": true,
"order_price_usd": "$200-$400", "order_duration_days": 1 }
]
}
```
*Prices are in cents (`2000` = $20). `revisions: -1` = unlimited.*
### Output & exports
One clean record per gig in the dataset — export JSON, CSV, or Excel. Three ready-made views: **Gigs overview**, **Packages** (a flat pricing table), and **Reviews** (one row per review).
**Real-time API:** flip on Standby and hit it like an endpoint for JSON in ~1s, no full run:
```
GET /?gigUrl=https://www.fiverr.com//
GET /?seller=
GET /?query=logo%20design&limit=10
```
### Best for
- **Competitor research** — full descriptions, package ladders & pricing
- **Pricing intelligence** — real order price ranges + tiers, straight from the data
- **Lead generation** — find sellers by niche → bios, languages, credentials
- **Market analysis** — what buyers actually say (review text) across a category
- **Content & SEO** — mine high-converting gig descriptions and FAQ patterns
***
> ⚠️ **Unofficial.** Not affiliated with, endorsed by, or sponsored by Fiverr International Ltd. "Fiverr" is a trademark of Fiverr International Ltd., used here for descriptive purposes only. This actor collects publicly available data.
# Actor input Schema
## `searchQueries` (type: `array`):
Keywords to find and deep-scrape the top gigs (e.g. "logo design", "voice over").
## `gigUrls` (type: `array`):
Specific gig URLs to scrape, e.g. https://www.fiverr.com/username/gig-slug
## `sellerUsernames` (type: `array`):
Seller usernames or profile URLs to deep-scrape (bio, skills, education, all their gigs, reviews). E.g. kairachel451
## `maxGigsPerSearch` (type: `integer`):
How many gigs to scrape from each search keyword.
## `includeSellerProfiles` (type: `boolean`):
When on, the seller's full profile is fetched and embedded inside every gig record.
## `useOwnApifyResidential` (type: `boolean`):
Leave this OFF (recommended) to use the built-in proxy — nothing to set up, and bandwidth is included in the per-result price.
Turn it ON only if you'd rather route through your own Apify Residential proxy allowance (e.g. for IP control). The per-result price is the same either way; you just supply the bandwidth.
(Fiverr blocks datacenter proxies, so residential is the only type used — that's why there's no proxy picker here.)
## Actor input object example
```json
{
"searchQueries": [
"logo design"
],
"maxGigsPerSearch": 3,
"includeSellerProfiles": false,
"useOwnApifyResidential": false
}
```
# Actor output Schema
## `results` (type: `string`):
All scraped gig records and seller profiles.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchQueries": [
"logo design"
],
"maxGigsPerSearch": 3,
"includeSellerProfiles": false,
"useOwnApifyResidential": false
};
// Run the Actor and wait for it to finish
const run = await client.actor("yumitori/fiverr-gig-seller-deep-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchQueries": ["logo design"],
"maxGigsPerSearch": 3,
"includeSellerProfiles": False,
"useOwnApifyResidential": False,
}
# Run the Actor and wait for it to finish
run = client.actor("yumitori/fiverr-gig-seller-deep-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchQueries": [
"logo design"
],
"maxGigsPerSearch": 3,
"includeSellerProfiles": false,
"useOwnApifyResidential": false
}' |
apify call yumitori/fiverr-gig-seller-deep-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=yumitori/fiverr-gig-seller-deep-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Fiverr Gig & Seller Scraper - Reviews, Packages, Profiles",
"description": "Scrape FULL Fiverr gig details search-based scrapers can't reach: complete description, all package tiers & prices, FAQ, gallery, plus real review text (with reviewer country & order value) and seller stats (level, response time, languages, member-since). Feed search terms or gig URLs.",
"version": "1.0",
"x-build-id": "9PUl9VY2xoWahgp85"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/yumitori~fiverr-gig-seller-deep-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-yumitori-fiverr-gig-seller-deep-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/yumitori~fiverr-gig-seller-deep-scraper/runs": {
"post": {
"operationId": "runs-sync-yumitori-fiverr-gig-seller-deep-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/yumitori~fiverr-gig-seller-deep-scraper/run-sync": {
"post": {
"operationId": "run-sync-yumitori-fiverr-gig-seller-deep-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"searchQueries": {
"title": "🔍 Search keywords",
"type": "array",
"description": "Keywords to find and deep-scrape the top gigs (e.g. \"logo design\", \"voice over\").",
"items": {
"type": "string"
}
},
"gigUrls": {
"title": "🔗 Gig URLs",
"type": "array",
"description": "Specific gig URLs to scrape, e.g. https://www.fiverr.com/username/gig-slug",
"items": {
"type": "string"
}
},
"sellerUsernames": {
"title": "👤 Seller usernames",
"type": "array",
"description": "Seller usernames or profile URLs to deep-scrape (bio, skills, education, all their gigs, reviews). E.g. kairachel451",
"items": {
"type": "string"
}
},
"maxGigsPerSearch": {
"title": "Max gigs per keyword",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "How many gigs to scrape from each search keyword.",
"default": 10
},
"includeSellerProfiles": {
"title": "Include each gig's seller profile",
"type": "boolean",
"description": "When on, the seller's full profile is fetched and embedded inside every gig record.",
"default": false
},
"useOwnApifyResidential": {
"title": "Use my own Apify Residential proxy",
"type": "boolean",
"description": "Leave this OFF (recommended) to use the built-in proxy — nothing to set up, and bandwidth is included in the per-result price.\n\nTurn it ON only if you'd rather route through your own Apify Residential proxy allowance (e.g. for IP control). The per-result price is the same either way; you just supply the bandwidth.\n\n(Fiverr blocks datacenter proxies, so residential is the only type used — that's why there's no proxy picker here.)",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```