# College Recruiter Job Scraper - Low-costπŸ’²πŸ”₯πŸŽ“πŸ’Ό (`delectable_incubator/college-recruiter-job-scraper-low-cost`) Actor Scrape College Recruiter job listings πŸŽ“πŸ’Ό with a powerful early-career job scraper. Extract job titles, company names, locations, summaries, posting dates, and more. Ideal for student job market analysis, graduate hiring insights, recruitment research, and structured employment datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/college-recruiter-job-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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

College Recruiter Job Search Scraper

--- ### College Recruiter Job Search Scraper πŸ”πŸ’ΌπŸ“ŠπŸŽ“ The College Recruiter Job Search Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from CollegeRecruiter.com. It enables job market analysis, hiring intelligence, lead generation, recruitment automation, and structured dataset creation from one of the leading platforms for students, graduates, and early-career professionals. --- ### 🎯 What This Scraper Does Simply provide one or more job search keywords and the scraper handles everything automatically. βœ… Extracts structured job listings from CollegeRecruiter.com βœ… Supports multiple search keywords βœ… Handles pagination automatically βœ… Applies max_items limits per keyword βœ… Filters by employment type βœ… Collects company names and job metadata βœ… Extracts posting dates and locations βœ… Generates clean and structured datasets βœ… Ready for recruitment & analytics workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted πŸ’Ό Job Listing Information | Field | Description | | ---------------- | ------------------------------ | | πŸ†” `jobId` | Unique job identifier | | πŸ’Ό `jobTitle` | Job title | | 🏒 `companyName` | Hiring company name | | πŸ“ `summary` | Job description summary | | πŸ“ `location` | Job location | | πŸ“… `postedDate` | Job posting date | | πŸ”— `jobUrl` | Direct link to the job listing | --- ### πŸ›  How to Use 1️⃣ Configure Input Provide one or more job search keywords: ```` { "keywords": \[ "marketing", "software engineer" ], "location": "Any", "employment\_type": "All", "max\_items": 30 } ``` 2️⃣ Run the Actor β€’ Loads job listings for each keyword β€’ Automatically paginates search results β€’ Extracts structured job data β€’ Applies employment type filtering β€’ Stops when max_items is reached per keyword β€’ Detects and stops after consecutive empty pages 3️⃣ Export the Dataset Download your results in multiple formats: βœ… JSON βœ… CSV βœ… Excel βœ… XML βœ… HTML --- ### βš™οΈ Input Configuration #### πŸ“₯ Input Example ``` { "keywords": \[ "marketing", "software engineer" ], "location": "Any", "employment\_type": "All", "max\_items": 30 } ``` #### Input Fields | Field | Type | Description | | ----------------- | ------- | --------------------------------------------- | | `keywords` | array | List of job search keywords | | `location` | string | Job location filter (`Any` for all locations) | | `employment_type` | string | Employment type filter | | `max_items` | integer | Maximum number of jobs to extract per keyword | --- ### πŸ“€ Output Example ``` { "jobId": "CR-123456", "jobTitle": "Marketing Intern", "companyName": "ABC Corporation", "summary": "Assist the marketing team with campaign execution and analytics.", "location": "Austin, TX", "postedDate": "2026-01-02", "jobUrl": "https://www.collegerecruiter.com/job/123456" } ```` --- ### πŸ“Š Output explanation | Use Case | Description | | ----------------------------- | ------------------------------------------------ | | πŸŽ“ Graduate Hiring Analysis | Monitor entry-level and internship opportunities | | πŸ“Š Job Market Research | Analyze hiring trends and locations | | 🏒 Recruitment Intelligence | Identify companies hiring young talent | | πŸ“ˆ HR Analytics & Dashboards | Build structured hiring datasets | | πŸ€– ATS & Automation Pipelines | Integrate job data into automation workflows | --- ### 🌍 Why Use This Scraper? πŸš€ Extract College Recruiter job listings at scale πŸ“Š Clean and structured recruitment datasets πŸŽ“ Track internship and graduate opportunities 🌍 Analyze hiring trends across locations ⚑ Fully automated pagination & extraction πŸ’Ό Ideal for recruitment intelligence workflows πŸ€– Automation-ready for HR and analytics pipelines --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by CollegeRecruiter.com. --- ### πŸ’Έ Pricing This scraper runs on a **pay per events subscription model**. You only pay for **successful runs**. πŸ’³ **Price:** $4.99 / 1000 results --- ### Related Actors If you're interested in other Jobs, Recruitment, Company Leads, or Research scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `keywords` (type: `array`): One or more job search keywords. Examples: β€’ marketing β€’ software β€’ engineer β€’ data analyst ## `location` (type: `string`): Job location (e.g., Texas, New York, California). Enter 'Any' for all locations ## `employment_type` (type: `string`): Filter by employment type ## `max_items` (type: `integer`): Maximum number of jobs to extract per keyword ## Actor input object example ```json { "keywords": [ "marketing" ], "location": "Any", "employment_type": "All", "max_items": 30 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "marketing" ], "location": "Any", "employment_type": "All", "max_items": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/college-recruiter-job-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": ["marketing"], "location": "Any", "employment_type": "All", "max_items": 30, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/college-recruiter-job-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ], "location": "Any", "employment_type": "All", "max_items": 30 }' | apify call delectable_incubator/college-recruiter-job-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/college-recruiter-job-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "College Recruiter Job Scraper - Low-costπŸ’²πŸ”₯πŸŽ“πŸ’Ό", "description": "Scrape College Recruiter job listings πŸŽ“πŸ’Ό with a powerful early-career job scraper. \n\nExtract job titles, company names, locations, summaries, posting dates, and more. \n\nIdeal for student job market analysis, graduate hiring insights, recruitment research, and structured employment datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "zC7rWbVcG7MC6dR2b" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~college-recruiter-job-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-college-recruiter-job-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~college-recruiter-job-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-college-recruiter-job-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~college-recruiter-job-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-college-recruiter-job-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "One or more job search keywords.\n\nExamples:\nβ€’ marketing\nβ€’ software\nβ€’ engineer\nβ€’ data analyst", "items": { "type": "string" }, "default": [ "marketing" ] }, "location": { "title": "Location", "type": "string", "description": "Job location (e.g., Texas, New York, California). Enter 'Any' for all locations", "default": "Any" }, "employment_type": { "title": "Employment Type", "enum": [ "All", "Full time", "Part time", "Temporary", "Contract to hire", "Contractor" ], "type": "string", "description": "Filter by employment type", "default": "All" }, "max_items": { "title": "Maximum Jobs per Keyword", "type": "integer", "description": "Maximum number of jobs to extract per keyword", "default": 30 } } }, "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 } } } } } } } } } } ```