# Fiverr Search Pro ⭐️ (`deepmine/fiverr-search-pro`) Actor

The fastest, cheapest way to scrape Fiverr search results by keyword. Collect gigs, seller details, prices, ratings, reviews, delivery times, packages, and ranking data for competitor research, lead generation, pricing analysis, and market validation.

- **URL**: https://apify.com/deepmine/fiverr-search-pro.md
- **Developed by:** [DeepMine](https://apify.com/deepmine) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 36 total users, 13 monthly users, 99.2% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Search Pro – Gig, Seller & Market Research Scraper

**Fiverr Search Pro** is a fast, structured **Fiverr gig scraper and search tool** for finding gigs and sellers by keyword. Turn Fiverr search results into usable data for sales research, market analysis, pricing intelligence, offer positioning, and competitor tracking.

If you need a Fiverr scraper for lead generation, freelance market research, service validation, agency prospecting, or keyword-based competitor discovery, this actor is built for that workflow.

### What You Can Use It For

- Fiverr keyword research
- Fiverr competitor analysis
- Fiverr pricing research
- Fiverr seller and gig discovery
- service market validation before launching a new offer
- tracking top Fiverr gigs in a niche over time
- lead generation for outreach, prospecting, and market mapping
- comparing delivery times, reviews, ratings, and package positioning across sellers

### What Data You Can Collect

Depending on your input settings, the actor can return:

- Fiverr gig titles
- Fiverr gig URLs
- gig IDs and slugs
- thumbnails and listing images
- seller usernames and display names
- seller country and seller level
- rating score and review count
- starting price and delivery time
- package and offer metadata
- tags and gallery data
- search query and ranking context

### Why Customers Use Fiverr Search Pro

- Find the best-performing Fiverr gigs in any niche
- Understand how freelancers price similar services
- Compare service positioning across keywords and categories
- Build prospect lists from Fiverr search results
- Monitor changes in rankings, reviews, and offer quality
- Validate demand before investing in a new service

### Best Use Cases

- agencies researching Fiverr competitors
- founders validating freelance service demand
- marketers analyzing niche saturation
- freelancers benchmarking their own gigs
- lead generation teams collecting seller data
- operators building Fiverr market intelligence datasets

### Example Input

```json
{
  "queries": ["full stack developer", "medical poster design"],
  "maxPages": 2,
  "maxResultsPerQuery": 48,
  "maxResultsTotal": 96,
  "includeDetails": true,
  "includeSellerProfile": false
}
```

### Output

Each dataset item represents a Fiverr listing with structured search and seller data. Common fields include:

- `gigId`
- `gigUrl`
- `title`
- `sellerName`
- `sellerDisplayName`
- `sellerCountry`
- `sellerLevel`
- `sellerRatingScore`
- `sellerRatingCount`
- `price`
- `duration`
- `metadata`
- `tags`
- `gallery`
- `scraped_at`

### Who This Is For

Fiverr Search Pro is for customers who want Fiverr data without wasting time manually searching, copying listings, comparing sellers, or checking pricing one page at a time.

It is especially useful if you want a Fiverr dataset for:

- Fiverr SEO research
- gig research and keyword expansion
- competitor monitoring
- sales research
- B2B prospecting
- freelance marketplace intelligence

### Summary

Fiverr Search Pro is a Fiverr scraper for keyword-based gig discovery, seller research, pricing intelligence, and marketplace analysis. Use it to collect Fiverr gig data at scale and make faster decisions about offers, niches, pricing, positioning, and outreach.

# Actor input Schema

## `queries` (type: `array`):

One or more Fiverr search queries. Each query runs independently.

## `maxPages` (type: `integer`):

Number of search result pages to fetch per query. Each page returns up to 48 gigs.

## `sortBy` (type: `string`):

How to order search results.

## `includeDetails` (type: `boolean`):

Fetch each gig's detail page for richer data: packages with features, FAQ, reviews with comments, seller bio and member since date, and full gallery. Slower but much richer output.

## `minPrice` (type: `integer`):

Only return gigs with a starting price at or above this amount.

## `maxPrice` (type: `integer`):

Only return gigs with a starting price at or below this amount.

## `sellerLevel` (type: `string`):

Filter by seller level. Leave empty to include all levels.

## Actor input object example

```json
{
  "queries": [
    "logo design"
  ],
  "maxPages": 2,
  "sortBy": "relevance",
  "includeDetails": false
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "logo design"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("deepmine/fiverr-search-pro").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["logo design"] }

# Run the Actor and wait for it to finish
run = client.actor("deepmine/fiverr-search-pro").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "logo design"
  ]
}' |
apify call deepmine/fiverr-search-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,deepmine/fiverr-search-pro"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vakZOjtiQm4YLGdUB/builds/MOJtFhViSLIOPmleF/openapi.json