# Passionfroot Scraper (`piotrv1001/passionfroot-scraper`) Actor The Passionfroot Scraper extracts creator media kits from Passionfroot, capturing names, taglines, handles, per-channel audience metrics (reach, view rate, country and age breakdowns, topics) and exact sponsorship pricing — ideal for influencer prospecting, sponsorship research, and lead generation. - **URL**: https://apify.com/piotrv1001/passionfroot-scraper.md - **Developed by:** [FalconScrape](https://apify.com/piotrv1001) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 creator profiles 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 ### 🍓 Passionfroot Scraper Extract complete **creator media kits from Passionfroot** — audience stats, every social handle, and exact sponsorship pricing — in one structured dataset. The **Passionfroot Scraper** turns public creator storefronts on [passionfroot.me](https://www.passionfroot.me) into clean JSON you can use for **influencer prospecting, sponsorship research, and lead generation**. Run it on the [Apify platform](https://apify.com) for API access, scheduling, integrations (Google Sheets, Zapier, Make), and monitoring — no infrastructure to manage. ### ✨ What does Passionfroot Scraper do? Passionfroot is a marketplace where creators publish public "media kits" listing their audience and what a sponsorship costs. This Actor collects that data at scale, giving you for each creator: - 👤 **Creator profile**: display name, tagline, avatar, and long-form "About" text. - 🔗 **All social handles**: YouTube, Instagram, Twitter/X, LinkedIn, TikTok, website, and newsletter links. - 📈 **Audience metrics per channel**: reach (subscribers/followers), view rate, engagement rate, country breakdown, age breakdown, and audience topics. - 💰 **Sponsorship pricing**: every ad product with its name, exact price, currency, and full description — the numbers brands normally have to email for. ### 💡 Why use Passionfroot Scraper? - **Build sponsorship lead lists** — creator name, contact channels, audience size, and rates in one row. - **Benchmark influencer pricing** — compare what creators in your niche charge across YouTube, newsletters, and social. - **Power outreach & CRM** — export straight to a spreadsheet or push into your sales tools via the Apify API. - **Market research** — analyze audience demographics and going rates across a whole category of creators. ### 🛠️ How to use Passionfroot Scraper 1. **Add creators** – Enter the Passionfroot usernames (e.g. `ali-abdaal`) or full profile URLs you want to scrape. 2. **Set a limit** – Choose the maximum number of profiles with **Max items**. 3. **Run the Actor** – Click **Start**. Results appear in the dataset in seconds. 4. **Export** – Download the data as JSON, CSV, Excel, or HTML, or pull it via API. ### 📥 Input | Field | Description | | ----------------------- | ------------------------------------------------------------ | | **Creators** | List of Passionfroot usernames or profile URLs to scrape. | | **Max items** | Maximum number of creator profiles to scrape (default `50`). | | **Proxy configuration** | Optional. Not required for this Actor. | Example input: ```json { "creators": ["ali-abdaal", "the-coding-sloth", "grahamstephan"], "maxItems": 50 } ```` ### 📊 Output Each creator becomes one dataset item. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. ```json { "slug": "the-coding-sloth", "url": "https://www.passionfroot.me/the-coding-sloth", "displayName": "The Coding Sloth", "tagline": "Making coding more fun and accessible for everyone!", "avatarUrl": "https://res.cloudinary.com/passionfroot/image/upload/.../Brand%20Logo.jpg", "socialHandles": [ { "platform": "YOUTUBE", "handle": "@TheCodingSloth" }, { "platform": "NEWSLETTER", "handle": "https://slothbytes.beehiiv.com/" } ], "channels": [ { "platform": "NEWSLETTER", "name": "Sloth Bytes", "link": "https://slothbytes.dev", "frequency": "Tuesdays and Thursdays", "audienceReach": 47864, "viewRatePercent": 40.98, "audienceCountries": { "US": 85, "IN": 2, "CA": 1, "DE": 1, "GB": 1 }, "audienceKeywords": ["Productivity", "programming", "software engineers"], "products": [ { "name": "Sponsor of the week", "priceUsd": 1000, "currency": "USD", "quantity": 1, "description": "Your logo at the very top of the email, plus a dedicated section..." } ] } ], "scrapedAt": "2026-07-24T08:06:55.174Z" } ``` #### Output fields | Field | Description | | -------------------------- | ----------------------------------------------------------------------------- | | `slug` | Creator's Passionfroot username. | | `url` | Public profile URL. | | `displayName` | Creator's display name. | | `tagline` | Short headline shown on the profile. | | `avatarUrl` | Profile image URL. | | `about` | Long-form "About" text (HTML). | | `socialHandles` | Array of `{ platform, handle }` for each linked account. | | `channels` | Array of channels, each with audience metrics and sponsorship products. | | `channels[].audienceReach` | Subscribers/followers on that channel. | | `channels[].products` | Sponsorship offerings with `name`, `priceUsd`, `currency`, and `description`. | | `scrapedAt` | Timestamp of extraction. | ### 💵 Pricing This Actor uses the **pay-per-result** model: you pay **$0.01 for each creator profile** successfully scraped. No monthly subscription, and you only pay for data you actually get. Scraping 100 creators costs about **$1**. ### ⚡ Tips - **Get creator usernames** by browsing Passionfroot profiles or from your existing outreach lists — anything after `passionfroot.me/` is the username. - **Use Max items** to cap costs on large lists. - **Schedule runs** to keep audience numbers and rates up to date, since creators update them over time. - **Integrate** with Google Sheets, Slack, or your CRM through Apify's built-in integrations. ### ❓ FAQ **Is scraping Passionfroot legal?** This Actor only collects **publicly available** information from creator storefronts that are already indexed by search engines. As with any scraping, use the data responsibly and in line with applicable laws and Passionfroot's Terms of Service. It does not collect private or login-protected data. **Do I need a proxy?** No. The Actor works out of the box without proxies. **Can I get a list of all creators automatically?** Passionfroot has no public master directory, so you supply the usernames you're interested in. You can gather them from search engines, creator cross-links, or your own prospect lists. **Why is a profile missing from the results?** Profiles that don't exist (or were renamed/removed) are skipped automatically. ### 🐛 Support Found a bug or need an extra field? Open an issue on the Actor's **Issues** tab — feedback and custom requests are welcome. # Actor input Schema ## `creators` (type: `array`): Passionfroot creator profiles to scrape. Enter each creator's username (e.g. `ali-abdaal`) or the full profile URL (e.g. `https://www.passionfroot.me/ali-abdaal`). ## `maxItems` (type: `integer`): Maximum number of creator profiles to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy settings. Not required — leave disabled unless you need it. ## Actor input object example ```json { "creators": [ "ali-abdaal", "the-coding-sloth", "grahamstephan" ], "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "creators": [ "ali-abdaal", "the-coding-sloth", "grahamstephan" ] }; // Run the Actor and wait for it to finish const run = await client.actor("piotrv1001/passionfroot-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 = { "creators": [ "ali-abdaal", "the-coding-sloth", "grahamstephan", ] } # Run the Actor and wait for it to finish run = client.actor("piotrv1001/passionfroot-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 '{ "creators": [ "ali-abdaal", "the-coding-sloth", "grahamstephan" ] }' | apify call piotrv1001/passionfroot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=piotrv1001/passionfroot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Passionfroot Scraper", "description": "The Passionfroot Scraper extracts creator media kits from Passionfroot, capturing names, taglines, handles, per-channel audience metrics (reach, view rate, country and age breakdowns, topics) and exact sponsorship pricing — ideal for influencer prospecting, sponsorship research, and lead generation.", "version": "0.0", "x-build-id": "e17HNwc5jgMDGkJCN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/piotrv1001~passionfroot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-piotrv1001-passionfroot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/piotrv1001~passionfroot-scraper/runs": { "post": { "operationId": "runs-sync-piotrv1001-passionfroot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/piotrv1001~passionfroot-scraper/run-sync": { "post": { "operationId": "run-sync-piotrv1001-passionfroot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "creators" ], "properties": { "creators": { "title": "Creators", "type": "array", "description": "Passionfroot creator profiles to scrape. Enter each creator's username (e.g. `ali-abdaal`) or the full profile URL (e.g. `https://www.passionfroot.me/ali-abdaal`).", "default": [ "ali-abdaal", "the-coding-sloth", "grahamstephan" ], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of creator profiles to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. Not required — leave disabled unless you need it.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```