# Fiverr Full-Site Gig Scraper - Search & Categories (`lentic_clockss/fiverr-programming-tech-gigs-scraper`) Actor Collect current Fiverr gig listings across the full site catalog or by search query. Export prices, seller signals, ratings, and listing URLs for sourcing and competitor research. - **URL**: https://apify.com/lentic\_clockss/fiverr-programming-tech-gigs-scraper.md - **Developed by:** [kane liu](https://apify.com/lentic_clockss) (community) - **Categories:** E-commerce, Lead generation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Full-Site Gigs Scraper - Search, All Categories & Sellers **Collect Fiverr gigs across the full marketplace** — not just Programming & Tech. Use site-wide keyword search, crawl listing pages across all major verticals, and optionally enrich unique sellers with Phase-2 profile details. There are **no preset search keywords**. Covered top-level verticals in the built-in catalog include: `graphics-design`, `online-marketing`, `writing-translation`, `video-animation`, `music-audio`, `programming-tech`, `photography`, `business`, `lifestyle`, `data` (and more as the catalog is refreshed). ### Why use this Fiverr Scraper? - **Full-site category catalog**: empty input walks the multi-vertical listing catalog (hundreds of `category/leaf` paths). - **Site-wide keyword search**: `searchQuery` uses the real Fiverr search box across the marketplace. - **Vertical filter**: `categories` limits crawl to selected top-level verticals (for example only `graphics-design`). - **Path filter**: `subcategories` accepts full paths like `graphics-design/logo-design` or known bare leaves. - **Phase-2 sellers**: `sellerLimit > 0` fetches seller profiles (skills, bio, rating, hourly rate). - **Structured rows**: `gig_listing` and `seller_profile` with `category`, `listing_path`, and `raw`. - **Proxy-ready**: prefers Apify RESIDENTIAL proxy on platform. ### Tutorial 1. Click **Try for free**. 2. Choose a mode: - **Full site listings**: leave `searchQuery`, `categories`, and `subcategories` empty. - **One vertical**: set `categories` to e.g. `["graphics-design"]`. - **Specific listing paths**: set `subcategories` to `["graphics-design/logo-design", "writing-translation/articles-blogposts"]`. - **Site-wide search**: set `searchQuery` (e.g. `logo design`). Category filters are ignored. 3. Optionally set `sellerLimit` for Phase-2 seller enrichment. 4. Set `maxItems` for cost control (recommended on full-site runs). Prefill `25`. 5. Start and download the Dataset + `RUN_SUMMARY`. #### Example inputs Full-site listing crawl (bounded): ```json { "maxItems": 25 } ```` Graphics & Design only: ```json { "categories": ["graphics-design"], "maxItems": 50 } ``` Mixed listing paths: ```json { "subcategories": [ "graphics-design/logo-design", "online-marketing/social-media-marketing", "programming-tech/website-development", "writing-translation/articles-blogposts" ], "maxItems": 40 } ``` Site-wide search + sellers: ```json { "searchQuery": "logo design", "maxItems": 15, "sellerLimit": 5 } ``` ### Input and output examples #### Input fields | Field | Type | Default | Description | | --- | --- | --- | --- | | `searchQuery` | string | empty | Site-wide Fiverr search-box query. When set, category filters are ignored. | | `categories` | array | empty = all tops | Top-level verticals. Alias: `digital-marketing` → `online-marketing`. | | `subcategories` | array | empty = all listing paths under selected categories | Full paths `category/leaf` or known bare leaves. | | `maxItems` | integer | `0` | Max **gig\_listing** rows (safety cap 5000). | | `sellerLimit` | integer | `0` | Max unique **seller\_profile** pages. `0` disables Phase 2. | | `sellerFailureLimit` | integer | `5` | Stop Phase 2 after N seller failures. | | `phase2BudgetSeconds` | integer | `240` | Phase-2 wall-clock budget. | Aliases such as `query`, `keyword`, `keywords`, `q`, `search`, and singular `category` are rejected. #### Output highlights Gig row includes: - `category` (e.g. `graphics-design`) - `subcategory` / leaf (e.g. `logo-design`) - `listing_path` (e.g. `graphics-design/logo-design`) - `sourceSearchQuery` / `searchRank` in search mode Seller row (`record_type=seller_profile`) includes skills, description, hourly rate, ratings, and profile URL. #### Run artifacts | Artifact | Contents | | --- | --- | | `INPUT_ECHO` | Scope, categories, listingPathCount, `siteScope: fiverr-full-site`, `presetKeywords: []` | | `RUN_SUMMARY` | pagesOk/Failed, gig/seller counts, pageStats | | `ERROR_SUMMARY` | Failures | ### Data source and boundary | Mode | Source | | --- | --- | | Full/partial catalog | `https://www.fiverr.com/categories/{category}/{leaf}` | | Site-wide search | `https://www.fiverr.com/search/gigs?query={searchQuery}` | | Seller Phase 2 | `https://www.fiverr.com/{username}` | - Built-in catalog is derived from Fiverr's public `/categories` navigation (hundreds of listing paths across major verticals). Inventory can drift over time. - About **48 gigs** appear on the first listing/search page. v1 uses **page 1** per listing/search request. - Full-site unlimited crawls can be large; use `maxItems` and/or `categories` for cost control. - Phase 2 is off by default (`sellerLimit=0`). - On Apify, **RESIDENTIAL proxy** is preferred. ### Pricing **Pay per event.** | Event | Price | When charged | | --- | ---: | --- | | `apify-actor-start` | **$0.005** | Once per run start | | `apify-default-dataset-item` | **$2.00 / 1,000** | Each Dataset item (gigs + sellers) | Platform usage (including residential proxy) is billed separately when user-pays is enabled. ### Live View and Standby endpoints | Endpoint | Purpose | | --- | --- | | `GET /` | Readiness | | `GET /health` | Health | | `GET /input-example` | Example input | | `GET /openapi.json` | OpenAPI | ### Connect from code Actor ID: `lentic_clockss/fiverr-programming-tech-gigs-scraper` ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("lentic_clockss/fiverr-programming-tech-gigs-scraper").call( run_input={ "categories": ["graphics-design", "programming-tech"], "maxItems": 30, "sellerLimit": 5, } ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["record_type"], item.get("category"), item.get("title"), item.get("source_url")) ``` ### FAQ and support **Is this limited to Programming & Tech?** No. The default catalog is **full-site** across major Fiverr verticals. **Does empty input use preset keywords?** No. **How do I crawl only marketing?** Set `categories: ["online-marketing"]` (or `digital-marketing`, which maps to the same vertical). **How do I enable seller details?** Set `sellerLimit` > 0. **What if a listing path is empty/blocked?** That path is recorded as failed in `RUN_SUMMARY`; the run continues with other paths. If every path fails, the run fails closed. *** Explore more tools from [lentic\_clockss on Apify](https://apify.com/lentic_clockss). # Actor input Schema ## `searchQuery` (type: `string`): Optional free-text query for the Fiverr search box (site-wide). When set, categories/subcategories are ignored. Leave empty to crawl category listing pages instead. No preset keywords are applied by default. ## `categories` (type: `array`): Optional Fiverr top-level verticals, for example graphics-design, online-marketing, programming-tech, writing-translation, video-animation, music-audio, business, lifestyle, data, photography. Leave empty for all top-level verticals in the site catalog. Alias: digital-marketing → online-marketing. ## `subcategories` (type: `array`): Optional listing paths. Prefer full paths like graphics-design/logo-design or programming-tech/website-development. Bare leaves (for example website-development) are resolved when unique. Leave empty to collect all listing types under the selected categories (full site when categories is also empty). ## `maxItems` (type: `integer`): Maximum gig\_listing rows to emit. Set 0 for no user limit up to the Actor safety cap (5000). Seller profiles from Phase 2 are controlled separately by sellerLimit. Use a small maxItems for cost control on full-site crawls. ## `sellerLimit` (type: `integer`): Maximum unique seller profile pages to enrich after gig collection. Default 0 disables seller enrichment. ## `sellerFailureLimit` (type: `integer`): Stop Phase 2 after this many seller fetch/parse failures. Default 5. ## `phase2BudgetSeconds` (type: `integer`): Maximum wall-clock seconds for seller enrichment. Default 240. ## Actor input object example ```json { "categories": [], "subcategories": [], "maxItems": 25, "sellerLimit": 0, "sellerFailureLimit": 5, "phase2BudgetSeconds": 240 } ``` # Actor output Schema ## `results` (type: `string`): Dataset rows of type gig\_listing and optional seller\_profile. ## `runSummary` (type: `string`): Search/category stats, Phase-2 seller stats, emitted counts, and warnings. ## `inputEcho` (type: `string`): Normalized non-secret input showing collection scope and empty presetKeywords. ## `errorSummary` (type: `string`): Structured failure details when input validation or source acquisition fails. # 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 = { "searchQuery": "", "categories": [], "subcategories": [], "maxItems": 25, "sellerLimit": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("lentic_clockss/fiverr-programming-tech-gigs-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 = { "searchQuery": "", "categories": [], "subcategories": [], "maxItems": 25, "sellerLimit": 0, } # Run the Actor and wait for it to finish run = client.actor("lentic_clockss/fiverr-programming-tech-gigs-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 '{ "searchQuery": "", "categories": [], "subcategories": [], "maxItems": 25, "sellerLimit": 0 }' | apify call lentic_clockss/fiverr-programming-tech-gigs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lentic_clockss/fiverr-programming-tech-gigs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fiverr Full-Site Gig Scraper - Search & Categories", "description": "Collect current Fiverr gig listings across the full site catalog or by search query. Export prices, seller signals, ratings, and listing URLs for sourcing and competitor research.", "version": "0.1", "x-build-id": "4QK6PhStnD0dLv0WJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lentic_clockss~fiverr-programming-tech-gigs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lentic_clockss-fiverr-programming-tech-gigs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lentic_clockss~fiverr-programming-tech-gigs-scraper/runs": { "post": { "operationId": "runs-sync-lentic_clockss-fiverr-programming-tech-gigs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lentic_clockss~fiverr-programming-tech-gigs-scraper/run-sync": { "post": { "operationId": "run-sync-lentic_clockss-fiverr-programming-tech-gigs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Site-wide search keyword", "maxLength": 200, "type": "string", "description": "Optional free-text query for the Fiverr search box (site-wide). When set, categories/subcategories are ignored. Leave empty to crawl category listing pages instead. No preset keywords are applied by default." }, "categories": { "title": "Top-level categories (optional)", "type": "array", "description": "Optional Fiverr top-level verticals, for example graphics-design, online-marketing, programming-tech, writing-translation, video-animation, music-audio, business, lifestyle, data, photography. Leave empty for all top-level verticals in the site catalog. Alias: digital-marketing → online-marketing.", "default": [], "items": { "type": "string" } }, "subcategories": { "title": "Listing paths (optional)", "type": "array", "description": "Optional listing paths. Prefer full paths like graphics-design/logo-design or programming-tech/website-development. Bare leaves (for example website-development) are resolved when unique. Leave empty to collect all listing types under the selected categories (full site when categories is also empty).", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Maximum gig records (optional)", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum gig_listing rows to emit. Set 0 for no user limit up to the Actor safety cap (5000). Seller profiles from Phase 2 are controlled separately by sellerLimit. Use a small maxItems for cost control on full-site crawls.", "default": 0 }, "sellerLimit": { "title": "Phase-2 seller profiles (optional)", "minimum": 0, "maximum": 200, "type": "integer", "description": "Maximum unique seller profile pages to enrich after gig collection. Default 0 disables seller enrichment.", "default": 0 }, "sellerFailureLimit": { "title": "Seller failure limit", "minimum": 1, "maximum": 50, "type": "integer", "description": "Stop Phase 2 after this many seller fetch/parse failures. Default 5.", "default": 5 }, "phase2BudgetSeconds": { "title": "Phase-2 time budget (seconds)", "minimum": 30, "maximum": 900, "type": "integer", "description": "Maximum wall-clock seconds for seller enrichment. Default 240.", "default": 240 } } }, "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 } } } } } } } } } } ```