# Intro Reviews Spider (`getdataforme/intro-reviews-spider`) Actor Intro Reviews Spider is an Apify Actor that scrapes detailed profiles and reviews from Intro.co, extracting user info, social media links, session details, and ratings.... - **URL**: https://apify.com/getdataforme/intro-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Jobs, Real estate - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 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/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 ## Intro Reviews Spider ### Introduction The Intro Reviews Spider is a powerful Apify Actor designed to scrape detailed profiles and reviews from Intro.co, a platform connecting users with experts for paid intro calls. It efficiently extracts comprehensive data including user profiles, social media links, session details, and customer reviews, enabling users to gather valuable insights for research, analysis, or business intelligence. This tool is ideal for anyone needing structured data from Intro.co without manual effort, ensuring high accuracy and reliability in data collection. ### Features - **Comprehensive Data Extraction**: Retrieves full user profiles, including names, titles, descriptions, and social media handles. - **Review Insights**: Captures detailed reviews with ratings, reviewer names, and timestamps for sentiment analysis. - **Proxy Support**: Utilizes Apify's residential proxies for reliable, undetected scraping. - **Customizable Inputs**: Allows specifying multiple usernames for targeted data collection. - **High Performance**: Handles large-scale extractions with efficient error handling and rate limiting. - **Structured Output**: Delivers data in clean JSON format, ready for integration into databases or analytics tools. - **Reliable and Scalable**: Built for robustness, supporting batch processing and minimizing downtime. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Usernames | array | No | List of usernames to scrape profiles and reviews from Intro.co. | ["AlexisOhanian", "anotheruser"] | | proxy | object | No | Proxy configuration for requests, including Apify proxy settings for residential IPs. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"} | ### Example Usage #### Input JSON ```json { "Usernames": ["AlexisOhanian"], "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` #### Output JSON ```json [ { "Id": 177804, "FirstName": "Alexis", "LastName": "Ohanian", "FullName": "Alexis Ohanian", "Avatar": "https://media.intro.co/avatars/177804F4nhK4N2.jpg", "Username": "", "Title": "Tech Entrepreneur + Investor", "Description": "Co-founder of Reddit. First batch of Y Combinator (Summer 2005) and led the company to a sale to Condé Nast in 2006, returned as Exec Chair in 2014 to help lead the turnaround, then left in 2018 to do venture capital fulltime. I’m an investor in startups —almost always at the earliest possible stage— first as an angel investor, then co-founder of Initialized, before splitting the firm in half to found Seven Seven Six. First round investments include: Coinbase (NYSE: COIN), Opendoor (NASDAQ: OPEN), Instacart (NYSE: ART), Reddit (NYSE: RDDT), Gusto, Flexport, Ro, Flock Safety, Athelas, Rippling, Patreon, GOAT, Cruise, Feastables, and many more. Current: Founder of 7️⃣7️⃣6️⃣, a technology company that deploys venture capital. Strengths: - Startups - Investing - Company Culture - Early Stage Marketing - Growth Tactics - Operations - Fundraising - Hiring & Managing Looking forward to helping you in your business journey! I love helping entrepreneurs and my proceeds will go to my foundation that you can learn more about at 776.org", "ShortDescription": "Founder of Reddit, Initialized, & 7️⃣7️⃣6️⃣ (100% to charity🧗)", "Instagram": "AlexisOhanian", "Twitter": "AlexisOhanian", "LinkedIn": "", "YouTube": "", "TikTok": "AlexisOhanian", "AllowRequests": false, "SessionPrice": 2000, "SessionDuration": 15, "ReviewId": 222536, "ReviewerId": 730287, "ReviewerName": "Claude", "Rating": 5, "Review": "Alexis was great. He knew my space and was willing to engage and give immediate practical action items for success.", "UpdatedAt": "2026-01-11T07:32:37.549894Z" } ] ``` ### Use Cases - **Market Research**: Analyze expert profiles and reviews to identify trends in industries like tech and entrepreneurship. - **Competitive Intelligence**: Gather data on competitors' social media presence and customer feedback. - **Content Aggregation**: Collect bios and reviews for content creation or influencer analysis. - **Academic Research**: Study user interactions and ratings for sociological or business studies. - **Business Automation**: Automate data collection for CRM systems or lead generation. - **Price Monitoring**: Track session prices and durations for pricing strategy insights. ### Installation and Usage 1. Search for "Intro Reviews Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add usernames and proxy settings). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is an array of JSON objects, each representing a scraped profile with associated reviews. Key fields include: `Id` (unique identifier), `FirstName`/`LastName`/`FullName` (user details), `Title`/`Description` (profile info), social media links (`Instagram`, `Twitter`, etc.), session details (`SessionPrice`, `SessionDuration`), and review data (`ReviewId`, `Rating`, `Review`, `UpdatedAt`). This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Usernames` (type: `array`): The usernames for the spider. ## `proxy` (type: `object`): Proxy settings for the spider. ## Actor input object example ```json { "Usernames": [ "AlexisOhanian" ], "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # 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 = { "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/intro-reviews-spider").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 = { "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/intro-reviews-spider").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 '{ "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call getdataforme/intro-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/intro-reviews-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Intro Reviews Spider", "description": "Intro Reviews Spider is an Apify Actor that scrapes detailed profiles and reviews from Intro.co, extracting user info, social media links, session details, and ratings....", "version": "0.0", "x-build-id": "dKLMWPwrCMJJDnCIJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~intro-reviews-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-intro-reviews-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~intro-reviews-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-intro-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~intro-reviews-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-intro-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Usernames": { "title": "Usernames", "type": "array", "description": "The usernames for the spider.", "default": [ "AlexisOhanian" ], "items": { "type": "string" } }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the spider.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```