WayUp Scraper: US Intern & Entry-Level Jobs

The NanoScrape Wayup Scraper is an Apify actor that extracts job listings from wayup.com. It returns 45 fields per result including title, location, city, description, company_name, priced at $5/1k result, with no API key or monthly subscription required.

WayUp (Student/Early-Career, US): internships and entry-level jobs with degree requirement, industry, zip-level location, and degree-level filter (source platform). Dedicated early-career source not covered by general boards.

Open on Apify →
Pricing
$5.00 / 1,000 detail result
Runtime
Cloud (Apify)
Proxy
Datacenter (residential fallback when blocked)
Coverage
US

What you can scrape — 45 fields per result

FieldTypeExampleGroupFill %
_typestringjobCore100%
idstring38501815Core100%
titlestringAI Data Science / Software Engineering PhD Intern New 2027Core100%
company_namestring | nullIntelCore100%
company_logo_urlstring | nullhttps://res.cloudinary.com/campus-job/image/upload/h_200,w_200/bo_1px_solid_rgb:F0F1F3,...Core100%
job_urlstringhttps://www.wayup.com/i-Technology-j-AI-Data-Science-Software-Engineering-PhD-Intern-Ne...Core100%
application_urlstring | nullhttps://www.wayup.com/thirdpartyapply/38501815/redirect/Core100%
source_platformstringwayup.comCore100%
company_social_urlsobject | null(populated when data available)Core21%
company_industry_slugstring | nullTechnologyCompany32%
company_aboutstring | null(populated when data available)Company10%
company_websitestring | null(populated when data available)Company21%
company_address_countrystring | nullUnited StatesCompany100%
locationstring | nullSanta Clara, CALocation100%
citystring | nullSanta ClaraLocation100%
descriptionstring | null**Job Details:** **Job Description:** The Role and Impact As an AI Software Engineering...Description100%
description_fullstring | null**Job Details:** **Job Description:** The Role and Impact As an AI Software Engineeri...Description100%
description_htmlstring | null<p><strong>Job Details:</strong></p> <p><strong>Job Description:</strong></p> <p>The Ro...Description100%
description_mdstring | null**Job Details:** **Job Description:** The Role and Impact As an AI Software Engineeri...Description100%
salary_minnumber | null170598Salary79%
salary_maxnumber | null170602Salary79%
salary_currencystring | nullUSDSalary79%
salary_periodstring | nullyearSalary79%
salary_textstring | null**Job Details:** **Job Description:** The Role and Impact As an AI Software Engineeri...Salary79%
is_remotebooleanfalseEmployment100%
employment_typestring | nullinternshipEmployment84%
employment_type_rawstring | nullsummer_internshipEmployment84%
experience_levelstring | nullstudentRequirements84%
posted_atstring | null(populated when data available)Metadata—
scraped_atstring2026-10-23T21:58:30ZMetadata100%
statestring | nullCAOther100%
zipstring | null95056Other100%
is_nationalbooleanfalseOther100%
is_paidboolean | nulltrueOther100%
workplace_typestring | nullonsiteOther100%
degree_requiredstring | null(populated when data available)Other—
major_preferredstring | nullComputer ScienceOther32%
gpa_minnumber | null(populated when data available)Other—
sponsors_visaboolean | null(populated when data available)Other—
diversity_priority_flagbooleanfalseOther100%
industrystring | nullTechnologyOther32%
closing_atstring | null2026-11-22Other21%
statusstring | nullactiveOther100%
application_methodstring | nullthird_party_applyOther100%
search_querystringsoftware engineer internOther74%

Input example — showcase (full detail)

{
  "keywordFilter": "software engineer intern",
  "locationFilter": "New York, NY",
  "employmentTypeFilter": "any",
  "maxResults": 30,
  "maxConcurrency": 3,
  "includeJobDetails": true,
  "maxResultsPerQuery": 10,
  "searchQueries": [
    "marketing",
    "software engineer"
  ]
}

Output example — real dataset item (PII scrubbed)

{
  "_type": "job",
  "id": "38501815",
  "title": "AI Data Science / Software Engineering PhD Intern New 2027",
  "company_name": "Intel",
  "company_logo_url": "https://res.cloudinary.com/campus-job/image/upload/h_200,w_200/bo_1px_solid_rgb:F0F1F3,o_0,r_3/co_rgb:9CADCE,l_text:Open%20Sans_120_800:I/sample.jpg",
  "location": "Santa Clara, CA",
  "city": "Santa Clara",
  "state": "CA",
  "zip": "95056",
  "is_remote": false,
  "is_national": false,
  "is_paid": true,
  "workplace_type": "onsite",
  "salary_min": 170598,
  "salary_max": 170602,
  "salary_currency": "USD",
  "salary_period": "year",
  "salary_text": "**Job Details:**\n\n**Job Description:**\n\nThe Role and Impact\nAs an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement",
  "employment_type": "internship",
  "employment_type_raw": "summer_internship",
  "experience_level": "student",
  "degree_required": null,
  "major_preferred": "Computer Science",
  "gpa_min": null,
  "sponsors_visa": null,
  "diversity_priority_flag": false,
  "industry": "Technology",
  "description": "**Job Details:** **Job Description:** The Role and Impact As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment. Business group Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide. Key Responsibilities -Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies. -You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally. **Qualifications:** You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences. **Minimum Qualifications ** o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline. o 6+months of experience with programing o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server o Proficiency in Python programming and machine learning techniques. **Preferred Qualifications** o Experience with data analysis and visualization. o Knowledge of statistical analysis and modeling techniques. o Strong understanding of algorithms, data structures and database fundamentals We are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment. **Job Type:** Student / Intern **Shift:** Shift 1 (United States of America) **Primary Location:** US, California, Santa Clara **Additional Locations:** **Posting Statement:** All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. **Position of Trust** N/A **Benefits** We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel . Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process. **Work Model for this Role** This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.",
  "description_full": "**Job Details:**\n\n**Job Description:**\n\nThe Role and Impact\nAs an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.\n\nBusiness group\nIntel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.\n\nKey Responsibilities\n-Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies.\n-You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.\n\n**Qualifications:**\n\nYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.\n\n**Minimum Qualifications\n** o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline.\no 6+months of experience with programing\no 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server\no Proficiency in Python programming and machine learning techniques.\n\n**Preferred Qualifications**\n\no Experience with data analysis and visualization.\no Knowledge of statistical analysis and modeling techniques.\no Strong understanding of algorithms, data structures and database fundamentals\n\nWe are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.\n\n**Job Type:**\n\nStudent / Intern\n\n**Shift:**\n\nShift 1 (United States of America)\n\n**Primary Location:**\n\nUS, California, Santa Clara\n\n**Additional Locations:**\n\n**Posting Statement:**\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.\n\n**Position of Trust**\n\nN/A\n\n**Benefits**\n\nWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .\n\nAnnual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD\n\nThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.\n\n**Work Model for this Role**\n\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.\n\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.",
  "description_html": "<p><strong>Job Details:</strong></p>\n<p><strong>Job Description:</strong></p>\n<p>The Role and Impact As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.</p>\n<p>Business group Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.</p>\n<p>Key Responsibilities -Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies. -You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.</p>\n<p><strong>Qualifications:</strong></p>\n<p>You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.</p>\n<p>**Minimum Qualifications ** o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline. o 6+months of experience with programing o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server o Proficiency in Python programming and machine learning techniques.</p>\n<p><strong>Preferred Qualifications</strong></p>\n<p>o Experience with data analysis and visualization. o Knowledge of statistical analysis and modeling techniques. o Strong understanding of algorithms, data structures and database fundamentals</p>\n<p>We are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.</p>\n<p><strong>Job Type:</strong></p>\n<p>Student / Intern</p>\n<p><strong>Shift:</strong></p>\n<p>Shift 1 (United States of America)</p>\n<p><strong>Primary Location:</strong></p>\n<p>US, California, Santa Clara</p>\n<p><strong>Additional Locations:</strong></p>\n<p><strong>Posting Statement:</strong></p>\n<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.</p>\n<p><strong>Position of Trust</strong></p>\n<p>N/A</p>\n<p><strong>Benefits</strong></p>\n<p>We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .</p>\n<p>Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD</p>\n<p>The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.</p>\n<p><strong>Work Model for this Role</strong></p>\n<p>This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.</p>\n<p>ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter. <br><br></p>\n",
  "description_md": "**Job Details:**\n\n**Job Description:**\n\nThe Role and Impact As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and engage in hardware-software integration to enable scalable and efficient AI solutions. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.\n\nBusiness group Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.\n\nKey Responsibilities -Responsible for designing and implementing data-driven solutions that optimize tool capacity management, risk modeling, and defect inspection strategies. -You will build robust cloud-based ETL pipelines, develop predictive models, deliver actionable insights through published reports and dashboards, and build an MCP server that connects manufacturing data and analytical models to our in house Gen AI and LLM service that empowers engineers to query manufacturing data conversationally.\n\n**Qualifications:**\n\nYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.\n\n**Minimum Qualifications ** o Must be pursuing a PhD in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related discipline. o 6+months of experience with programing o 3+ months experience with Git, Docker, Helm, Kubernetes, MCP server o Proficiency in Python programming and machine learning techniques.\n\n**Preferred Qualifications**\n\no Experience with data analysis and visualization. o Knowledge of statistical analysis and modeling techniques. o Strong understanding of algorithms, data structures and database fundamentals\n\nWe are excited to welcome motivated individuals who are eager to push the boundaries of AI technology. Join us to transform ideas into impactful solutions and grow your career in a supportive, pioneering environment.\n\n**Job Type:**\n\nStudent / Intern\n\n**Shift:**\n\nShift 1 (United States of America)\n\n**Primary Location:**\n\nUS, California, Santa Clara\n\n**Additional Locations:**\n\n**Posting Statement:**\n\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.\n\n**Position of Trust**\n\nN/A\n\n**Benefits**\n\nWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel .\n\nAnnual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD\n\nThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.\n\n**Work Model for this Role**\n\nThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.\n\nADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.",
  "posted_at_text": "2026-10-21",
  "posted_at_datetime": "2026-10-21",
  "closing_at": "2026-11-22",
  "status": "active",
  "job_url": "https://www.wayup.com/i-Technology-j-AI-Data-Science-Software-Engineering-PhD-Intern-New-2027-Intel-403050304580371/",
  "application_url": "https://www.wayup.com/thirdpartyapply/38501815/redirect/",
  "application_method": "third_party_apply",
  "company_industry_slug": "Technology",
  "source_platform": "wayup.com",
  "scraped_at": "2026-10-23T21:58:30Z",
  "search_query": "software engineer intern",
  "contact_emails": [],
  "contact_phones": [],
  "contact_urls": [],
  "company_about": null,
  "company_website": null,
  "company_social_urls": null,
  "company_address_country": "United States"
}

Cost math

Priced at $0.0050 per detail result. 10 detail results ≈ $0.05, 100 ≈ $0.50, 1,000 ≈ $5.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

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

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:

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:

  1. Sign up for a free Apify account (Google, GitHub, or email).
  2. Go to Settings → Integrations → API tokens.
  3. 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. How many results that covers depends on the actor's price per result.

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.

  1. Add the n8n Apify node (installed by default on n8n Cloud; on self-hosted install @apify/n8n-nodes-apify).
  2. Set Actor to santamaria-automations/wayup-us-scraper.
  3. Choose operation Run Actor and get dataset, paste your input JSON, and connect a downstream node (Google Sheets, Postgres, webhook, ...).
  1. Create a new Zap with any trigger.
  2. 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.
  3. Body: your input JSON. Content-Type: application/json.
  1. Create a new scenario.
  2. 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.
  3. Parse the response with a JSON module to iterate items downstream.
  1. Create a new workflow.
  2. 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.
  3. Access steps.http.$return_value in subsequent steps.
  1. Install the API Connector plugin.
  2. 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.
  3. Initialize the call with your input, then reference the response array in workflow actions.

FAQ

How much does the wayup-us-scraper cost?

$5.00 / 1,000 detail result, billed per result on Apify. Apify's $5/month free tier covers the first runs. No monthly subscription — you only pay for what you extract.

What fields does it return?

45 fields per result. Full field catalog is listed in the 'What you can scrape' table above — includes core identifiers, descriptive text, dates, and any category-specific data.

Is scraping this site legal?

Scraping publicly available data is generally permitted in most jurisdictions, but GDPR applies to any personal data you collect. Review your local rules and consult a lawyer for commercial use.

Do I need an API key from the source platform?

No. This actor reads public pages over HTTP with datacenter proxies, switching to residential proxies only when a request is blocked. No API key, no OAuth, no rate-limit management on your side.

How fresh is the data?

Every run pulls live data at execution time. Set up a schedule (daily/hourly/weekly cron) in the Apify console to keep your dataset current automatically.

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