# Fiverr Gigs Scraper — Search Results & Prices (`darknezz/fiverr-gigs-scraper`) Actor Scrape Fiverr search results for any keyword: gig titles, starting prices, seller levels and countries, ratings and Pro/Featured flags as clean JSON. No API key, login or proxy required. Ideal for freelance market research, pricing analysis and competitor monitoring. - **URL**: https://apify.com/darknezz/fiverr-gigs-scraper.md - **Developed by:** [Oaida Adrian](https://apify.com/darknezz) (community) - **Categories:** Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 gig scrapeds 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/platform/actors/running/actors-in-store#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. 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 Gigs Scraper — Search Results & Prices Scrape **Fiverr search results** for any keyword and get every gig as clean, structured JSON — titles, starting prices, seller levels, ratings, countries and Pro/Featured flags. No API key, no login, no proxy required. Built for freelance-market researchers, pricing analysts and agencies who need the whole competitive landscape of a service niche in one table instead of clicking through result pages. ### Why this Actor - **No account, no API key, no proxy budget** — Fiverr has no public search API; this Actor reads the server-rendered search page directly. - **Complete result rows** — price, gig rating *and* overall seller reputation (level, country, lifetime rating) on one JSON row, so you can slice by any of them. - **Placement flags included** — listing types (`promoted_gigs`, `fiverr_choice`), `isPro` and `isFeatured`, so paid placements never skew your analysis. - **Batch keywords** — pass a whole list of search terms; each is searched exactly as if typed into fiverr.com. - **Pay per result** — a small fee per gig scraped; a 48-gig run costs about a cent. ### How it works For each keyword the Actor requests the Fiverr search results page, parses the embedded listing data (the same JSON the site itself renders from), and outputs **one dataset item per gig** — 48 gigs per page, paging automatically up to `maxGigsPerKeyword` (max 480, i.e. 10 pages). ### Input ```json { "keywords": ["logo design", "python automation"], "maxGigsPerKeyword": 48 } ```` | Field | Type | Description | |---|---|---| | `keywords` | array | Service search terms, one search per keyword — **required** | | `maxGigsPerKeyword` | integer | Gigs to scrape per keyword (default 48, max 480; 48 per result page) | ### Output (one item per gig) ```json { "keyword": "logo design", "gigId": "123456789", "title": "create modern minimalist logo design for your business", "gigUrl": "https://www.fiverr.com/cosmicbeauty2/create-modern-minimalist-logo-design", "priceFrom": 25, "currency": "USD", "rating": 4.9, "ratingCount": 75, "sellerName": "cosmicbeauty2", "sellerDisplayName": "Martina D", "sellerCountry": "PK", "sellerLevel": "level_two_seller", "sellerRating": 4.88, "sellerRatingCount": 13721, "isPro": false, "isFeatured": false, "isFiverrChoice": true, "numPackages": 3, "listingType": "gig" } ``` ### Use cases - 💰 **Pricing analysis** — starting prices by seller level and country: what does a `top_rated_seller` charge for the service you offer? - 🔎 **Freelance market research** — how crowded is a niche, what do the top gigs promise, where do the sellers sit geographically? - 📈 **Competitor monitoring** — schedule a daily run per keyword and track new gigs, price moves and rating momentum over time. - 🎯 **Lead generation** — shortlist sellers by category, level and rating for outreach or white-label partnerships. - 🤖 **Datasets & AI** — build a labeled corpus of service titles and prices for classification or market models. ### Run it from the API ```bash curl -X POST "https://api.apify.com/v2/acts/darknezz~fiverr-gigs-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"keywords":["logo design"],"maxGigsPerKeyword":96}' ``` **Scheduling:** attach an Apify Schedule (e.g. daily) to keep a dataset topped up with fresh listings for the keywords you track — price history comes free with the run timestamps. ### Pricing Pay per event: a small fee for each gig scraped, plus Apify's standard platform events (actor start + dataset item). No subscription — you pay only for what you run. ### FAQ **Do I need a Fiverr account or API key?** No. The Actor reads the public search results page; there is nothing to authenticate. **Do I need a proxy?** No. Search pages are reachable from datacenter IPs — no residential proxy budget required. **How many gigs can one run return?** Up to 480 per keyword (10 result pages of 48). Multiply by as many keywords as you like in one run. **Are promoted/ad listings included?** Yes, and they are flagged via `listingType` (`promoted_gigs`, `fiverr_choice`) so you can filter them out of organic analysis. **Why is `priceFrom` sometimes different from the gig page?** It is the cheapest package price rendered in search at scrape time; sellers change package prices frequently. **Is scraping this legal?** The search results are public and unauthenticated. You are responsible for complying with Fiverr's terms and applicable laws for how you use the data. # Actor input Schema ## `keywords` (type: `array`): Service search keywords, one per line (e.g. 'logo design', 'python automation'). Each keyword is searched on fiverr.com. ## `maxGigsPerKeyword` (type: `integer`): Maximum number of gigs to scrape per keyword (48 per result page). ## Actor input object example ```json { "keywords": [ "logo design", "python automation" ], "maxGigsPerKeyword": 48 } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "logo design", "python automation" ] }; // Run the Actor and wait for it to finish const run = await client.actor("darknezz/fiverr-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 = { "keywords": [ "logo design", "python automation", ] } # Run the Actor and wait for it to finish run = client.actor("darknezz/fiverr-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 '{ "keywords": [ "logo design", "python automation" ] }' | apify call darknezz/fiverr-gigs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=darknezz/fiverr-gigs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fiverr Gigs Scraper — Search Results & Prices", "description": "Scrape Fiverr search results for any keyword: gig titles, starting prices, seller levels and countries, ratings and Pro/Featured flags as clean JSON. No API key, login or proxy required. Ideal for freelance market research, pricing analysis and competitor monitoring.", "version": "0.1", "x-build-id": "noocGoZCkVYEg90LZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/darknezz~fiverr-gigs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-darknezz-fiverr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/darknezz~fiverr-gigs-scraper/runs": { "post": { "operationId": "runs-sync-darknezz-fiverr-gigs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/darknezz~fiverr-gigs-scraper/run-sync": { "post": { "operationId": "run-sync-darknezz-fiverr-gigs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords" ], "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "Service search keywords, one per line (e.g. 'logo design', 'python automation'). Each keyword is searched on fiverr.com.", "items": { "type": "string" } }, "maxGigsPerKeyword": { "title": "Max gigs per keyword", "minimum": 1, "maximum": 480, "type": "integer", "description": "Maximum number of gigs to scrape per keyword (48 per result page).", "default": 48 } } }, "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 } } } } } } } } } } ```