WayUp Scraper: US Intern & Entry-Level Jobs

Extract student, intern, and early-career jobs from WayUp.com. Returns title, company, logo, location (city/state/zip), salary, employment type (internship/full-time/part-time), workplace type (remote/hybrid/onsite), degree, industry, description, apply URL, posted date. Pay-per-result.

Open on Apify →

Pricing

$5.00 / 1,000

Runtime

Cloud (Apify)

Proxy

Datacenter

What You Can Scrape

Student-specific fields: degree required, GPA minimum, preferred major, visa sponsorship, campus-rep roles
Salary parsing: two-pass extractor prefers Google-for-Jobs structured data, falls back to free-text and regex
Sitemap discovery: discovers from WayUp's own sitemap so you see every listing a candidate sees
Company social URLs: LinkedIn, Facebook, X, Instagram, YouTube, TikTok per employer (platform-owned handles filtered)
HTTP-only: no browser, no CAPTCHA overhead, runs at 128 MB
Category and campus expansion: paste category or campus URLs to queue all jobs automatically

What you get

title + company_name + company_logo_url — role title, employer name, and CDN logo
employment_type + experience_level — internship, entry_level, part_time, campus_rep; student level
is_paid — boolean (false on unpaid internships)
degree_required + major_preferred + gpa_min — academic requirements
salary_min + salary_max — structured pay when disclosed
workplace_type — remote, hybrid, or onsite
company_social_urls — object with LinkedIn, Twitter/X, Facebook, Instagram, YouTube, TikTok
application_url — WayUp redirect to employer ATS

Input example

{
  "keywordFilter": "software engineer intern",
  "locationFilter": "New York, NY",
  "employmentTypeFilter": "internship",
  "maxResults": 100,
  "maxConcurrency": 10
}

Output example

{
  "_type": "job",
  "id": "38333957",
  "title": "Designer Intern 2027",
  "company_name": "IBM",
  "company_logo_url": "https://res.cloudinary.com/campus-job/image/upload/sample.jpg",
  "location": "Chicago, IL",
  "city": "Chicago",
  "state": "IL",
  "workplace_type": "hybrid",
  "is_paid": true,
  "employment_type": "internship",
  "experience_level": "student",
  "industry": "Technology",
  "major_preferred": "Computer Science",
  "company_website": "https://www.ibm.com",
  "company_social_urls": {"linkedin": "https://www.linkedin.com/company/ibm"},
  "application_url": "https://www.wayup.com/thirdpartyapply/38333957/redirect/",
  "source_platform": "wayup.com",
  "scraped_at": "2026-09-02T12:00:00Z"
}

Who should use this

Campus recruiting teams use this actor to pull all internships in their target metro, cross-reference against their ATS, and hand off warm leads to recruiters, saving hours of manual WayUp browsing per cycle.

University career services build real-time boards of active roles for specific majors by filtering on major_preferred and employment_type, then surfacing results to students through their portal.

Salary benchmarking analysts extract compensation ranges across intern and entry-level roles by industry to build data-driven offer guidance for hiring managers.

Integrations

n8n / Make / Zapier — trigger runs and process results via webhook
AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
Python / Node.js — Apify SDK for programmatic access
Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run wayup-us-scraper in your browser - no code, no install. In the Apify console you get:

One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

Sign up for a free Apify account (Google, GitHub, or email).
Go to Settings → Integrations → API tokens.
Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully - at $0.001 per result on typical scrapers, that is roughly 5,000 results for free every month.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~wayup-us-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/wayup-us-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/wayup-us-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/wayup-us-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/wayup-us-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/wayup-us-scraper

Example prompt once connected:

"Use <code>wayup-us-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
Set Actor to santamaria-automations/wayup-us-scraper.
Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).

Create a new Zap with any trigger.
Add a Webhooks by Zapier POST action to https://api.apify.com/v2/acts/santamaria-automations~wayup-us-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Body: your input JSON. Content-Type: application/json.

Create a new scenario.
Add an HTTP module: URL https://api.apify.com/v2/acts/santamaria-automations~wayup-us-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.
Parse the response with a JSON module to iterate items downstream.

Create a new workflow.
Add an HTTP Request step: POST to https://api.apify.com/v2/acts/santamaria-automations~wayup-us-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.
Access steps.http.$return_value in subsequent steps.

Install the API Connector plugin.
Add a new API: POST https://api.apify.com/v2/acts/santamaria-automations~wayup-us-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.
Initialize the call with your input, then reference the response array in workflow actions.