# Hook & Virality Scorer (`dami_studio/hook-virality-scorer`) Actor Score any title, hook, or script for scroll-stopping power — 0-100 with a letter grade, a breakdown (curiosity, emotion, power words, specificity, relatability), the signals it detected, and concrete rewrite suggestions. Rank a batch of variants. No AI, instant. - **URL**: https://apify.com/dami\_studio/hook-virality-scorer.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Marketing, For creators, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 hook scoreds 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 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 ## Hook & Virality Scorer Score a title, hook, or opening line for scroll-stopping power and get back a 0-100 number with a letter grade. It's built for short-form creators and copywriters who are sitting on five title ideas and want a fast, repeatable way to pick one instead of arguing about it. Pass a batch of variants and it ranks them best-first. ### How it works It runs a deterministic rule pass over the text. It counts curiosity phrases, emotion and high-stakes words, power words, numbers, questions, and "you"/"I" framing, then scores six weighted dimensions and applies penalties for filler and excess ALL-CAPS. No AI, no API calls, so the same input always returns the same score. ### Input You don't have to set anything beyond the text. Pass `text` for one string or `texts` for a batch. | Field | Required | Notes | |-------|----------|-------| | `texts` | no | Array of titles/hooks/scripts to score. Strings or objects (it reads `title`, `hook`, `text`, or `scriptText`). Pass several to compare variants. | | `text` | no | A single title or hook, as an alternative to the array. | | `type` | no | `auto`, `title`, or `script`. Auto treats anything up to 18 words as a title. Controls the length scoring. Default `auto`. | | `rankResults` | no | Sort output best-first and add a `rank`. Default `true`. | At least one of `text` or `texts` must resolve to a non-empty string, otherwise the run fails. ### Output One dataset item per scored hook. Each item has the `score` (0-100), `grade` (A through F), and the original `text`, plus a `breakdown` object with the per-dimension points (curiosity, emotion, powerWords, specificity, relatability, length), a `signals` object listing exactly what it matched (word count, numbers, questions, the specific power/curiosity/emotion/filler words found), and a `suggestions` array of concrete rewrites for whatever scored low. When ranking is on, items also carry a `rank`. ### Example ```json { "texts": [ "I tried the viral 5am routine for 30 days", "You won't believe what happened when I confronted my MIL", "My morning routine" ], "type": "auto", "rankResults": true } ```` ### Pricing $0.003 per hook scored, pay-per-result, no subscription. ### Notes The scoring is keyword and pattern based and tuned for English. It rewards the usual viral signals (open loops, stakes, specificity), so treat it as a fast first-pass filter and A/B comparison tool, not a guarantee that a high-scoring hook will actually go viral. # Actor input Schema ## `texts` (type: `array`): Titles, hooks, or scripts to score. Strings OR objects (uses title/hook/text/scriptText). Pass several variants to rank them. ## `text` (type: `string`): A single title/hook to score (alternative to the array). ## `type` (type: `string`): Score as a short title, a longer script/hook, or auto-detect. ## `rankResults` (type: `boolean`): Sort results best-first and add a rank. ## Actor input object example ```json { "texts": [ "I tried the viral 5am routine for 30 days", "You won't believe what happened when I confronted my MIL", "My morning routine" ], "type": "auto", "rankResults": true } ``` # Actor output Schema ## `results` (type: `string`): Result rows / metadata are stored in the default dataset (one row per item). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "texts": [ "I tried the viral 5am routine for 30 days", "You won't believe what happened when I confronted my MIL", "My morning routine" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/hook-virality-scorer").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "texts": [ "I tried the viral 5am routine for 30 days", "You won't believe what happened when I confronted my MIL", "My morning routine", ] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/hook-virality-scorer").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 '{ "texts": [ "I tried the viral 5am routine for 30 days", "You won'\''t believe what happened when I confronted my MIL", "My morning routine" ] }' | apify call dami_studio/hook-virality-scorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/hook-virality-scorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hook & Virality Scorer", "description": "Score any title, hook, or script for scroll-stopping power — 0-100 with a letter grade, a breakdown (curiosity, emotion, power words, specificity, relatability), the signals it detected, and concrete rewrite suggestions. Rank a batch of variants. No AI, instant.", "version": "0.1", "x-build-id": "f9htLo3ahDD8BzHoB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~hook-virality-scorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-hook-virality-scorer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~hook-virality-scorer/runs": { "post": { "operationId": "runs-sync-dami_studio-hook-virality-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~hook-virality-scorer/run-sync": { "post": { "operationId": "run-sync-dami_studio-hook-virality-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "texts": { "title": "Texts / variants", "type": "array", "description": "Titles, hooks, or scripts to score. Strings OR objects (uses title/hook/text/scriptText). Pass several variants to rank them." }, "text": { "title": "Single text", "type": "string", "description": "A single title/hook to score (alternative to the array)." }, "type": { "title": "Type", "enum": [ "auto", "title", "script" ], "type": "string", "description": "Score as a short title, a longer script/hook, or auto-detect.", "default": "auto" }, "rankResults": { "title": "Rank by score", "type": "boolean", "description": "Sort results best-first and add a rank.", "default": true } } }, "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 } } } } } } } } } } ```