The NanoScrape LinkedIn Scraper is an Apify actor that extracts job listings from linkedin.com. It returns 53 fields per result including title, company, location, company_website, company_industry, priced at $1/1k job-result, with no API key or monthly subscription required.
LinkedIn Jobs (Professional, Global): public LinkedIn job listings (source platform). Location, job type, experience level, remote options, company info, and description. No login required.
| Field | Type | Example | Group | Fill % |
|---|---|---|---|---|
id | string | 4479305237 | Core | 100% |
title | string | Software Engineer I, Fullstack (Search) | Core | 100% |
source_url | string | https://www.linkedin.com/jobs/view/4479305237 | Core | 100% |
source_platform | string | Core | 100% | |
apply_url | string | null | https://www.linkedin.com/jobs/view/4479305237 | Core | 100% |
company_url | string | null | https://www.linkedin.com/company/affirm | Core | 100% |
company_logo_url | string | null | https://media.licdn.com/dms/image/v2/C560BAQEHSbORvS_jKg/company-logo_100_100/company-l... | Core | 100% |
company_jobs_url | string | null | https://www.linkedin.com/company/affirm/jobs | Core | 6% |
company_crunchbase_url | string | null | (populated when data available) | Core | — |
job_poster_name | string | null | (populated when data available) | Core | — |
job_poster_title | string | null | (populated when data available) | Core | — |
job_poster_profile_url | string | null | (populated when data available) | Core | — |
job_poster_photo_url | string | null | (populated when data available) | Core | — |
company | string | null | Affirm | Company | 100% |
company_website | string | null | https://www.affirm.com/careers | Company | 6% |
company_industry | string | null | Financial Services | Company | 6% |
company_employee_count | string | null | 1,001-5,000 employees | Company | 6% |
company_description | string | null | We create honest financial products that improve lives. | At Affirm, we’re using today’... | Company | 6% |
company_type | string | null | Public Company | Company | 6% |
company_founded | string | null | 2012 | Company | 6% |
company_headquarters | string | null | San Francisco, California | Company | 6% |
company_follower_count | string | null | 391407 | Company | 6% |
company_specialties | array | null | ["eCommerce", "Payments", "Installment Loans"] | Company | 6% |
company_featured_employees | array | null | [{"name": "Max Levchin", "url": "https://www.linkedin.com/in/maxlevchin?trk=org- | Company | 6% |
company_funding_rounds | string | null | (populated when data available) | Company | — |
company_last_funding_type | string | null | (populated when data available) | Company | — |
company_last_funding_date | string | null | (populated when data available) | Company | — |
company_last_funding_amount | string | null | (populated when data available) | Company | — |
company_latest_updates | array | null | [{"url": "https://www.linkedin.com/posts/affirm_affirm-is-now-live-at-sur-la-tab | Company | 6% |
location | string | Salt Lake City, UT | Location | 100% |
country | string | null | (populated when data available) | Location | 94% |
description_snippet | string | null | At Affirm, we exist for the moments that matter—giving people a clear, predictable way ... | Description | 6% |
description_full | string | null | At Affirm, we exist for the moments that matter—giving people a clear, predictable way ... | Description | 6% |
description_html | string | null | At Affirm, we exist for the moments that matter—giving people a clear, predictable way ... | Description | 6% |
salary_text | string | null | (populated when data available) | Salary | — |
salary_min | number | null | (populated when data available) | Salary | — |
salary_max | number | null | (populated when data available) | Salary | — |
salary_currency | string | null | (populated when data available) | Salary | — |
salary_period | string | null | (populated when data available) | Salary | — |
employment_type | string | null | (populated when data available) | Employment | — |
remote_option | string | null | (populated when data available) | Employment | — |
seniority_level | string | null | Mid-Senior level | Metadata | 6% |
posted_at | string | null | 2026-10-18T06:14:18Z | Metadata | 100% |
scraped_at | string | 2026-11-01T06:14:18Z | Metadata | 100% |
canton | string | null | (populated when data available) | Other | 31% |
job_status | string | null | online | Other | 100% |
detail_status | string | null | ok | Other | 6% |
top_listing | boolean | null | (populated when data available) | Other | — |
actively_hiring | boolean | null | (populated when data available) | Other | — |
easy_apply | boolean | null | (populated when data available) | Other | — |
job_function | string | null | (populated when data available) | Other | — |
applicants | string | null | (populated when data available) | Other | 6% |
search_query | string | null | Software Engineer | Other | 100% |
{
"searchQueries": [
"Software Engineer"
],
"location": "Berlin",
"maxResultsPerQuery": 10,
"maxResults": 30,
"includeJobDetails": true,
"includeCompanyDetails": true
}{
"id": "4479305237",
"title": "Software Engineer I, Fullstack (Search)",
"company": "Affirm",
"location": "Salt Lake City, UT",
"country": null,
"canton": null,
"job_status": "online",
"detail_status": "ok",
"top_listing": null,
"actively_hiring": null,
"easy_apply": null,
"employment_type": null,
"remote_option": null,
"salary_text": null,
"salary_min": null,
"salary_max": null,
"salary_currency": null,
"salary_period": null,
"description_snippet": "At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.\n\nSearch has become the default way consumers discover where to shop, compare options, and decide what to buy across platforms like Google, TikTok, and even Klarna. As we build a new Ads business and evolve Marketplace into a best in class shopping experience, improving search is one of our highest leverage investments",
"description_full": "At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.\n\nSearch has become the default way consumers discover where to shop, compare options, and decide what to buy across platforms like Google, TikTok, and even Klarna. As we build a new Ads business and evolve Marketplace into a best in class shopping experience, improving search is one of our highest leverage investments to create an experience users choose and merchants want to invest in.\n\nWhat You'll Do\n\n• With the support of your team, you will work on tasks that contribute to the team's projects and goals.\n• You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.\n• You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.\n• You will contribute to a sense of community on your team by engaging in growth and development activities.\n\nWhat We Look For\n\n• You have previous work or internship experience working with Javascript/Typescript.\n• You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using Python or Kotlin.\n• You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.\n• You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.\n• Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.\n• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.\n• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.\n\nBase Pay Grade - J\n\nEquity Grade - 5\n\nEmployees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.\n\nBase pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)\n\nUSA base pay range (CA, WA, NY, NJ, CT) per year: $130,000 - $180,000\n\nUSA base pay range (all other U.S. states) per year: $115,000 - $165,000\n\nRemote-first with flexibility built in\n\nAffirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.\n\nBenefits Designed For You\n\nOur benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:\n\n• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.\n• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.\n• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.\n• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.\n\nWe’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.\n\nFor positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.\n\nBy clicking \"Submit Application,\" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.",
"description_html": "At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.<br><br>Search has become the default way consumers discover where to shop, compare options, and decide what to buy across platforms like Google, TikTok, and even Klarna. As we build a new Ads business and evolve Marketplace into a best in class shopping experience, improving search is one of our highest leverage investments to create an experience users choose and merchants want to invest in.<br><br><strong>What You'll Do<br><br></strong><ul><li>With the support of your team, you will work on tasks that contribute to the team's projects and goals.</li><li>You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.</li><li>You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.</li><li>You will contribute to a sense of community on your team by engaging in growth and development activities.<br><br></li></ul><strong>What We Look For<br><br></strong><ul><li>You have previous work or internship experience working with Javascript/Typescript.</li><li>You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using Python or Kotlin.</li><li>You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.</li><li>You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.</li><li>Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.</li><li>You have strong verbal and written communication skills that support effective collaboration with our global engineering team.</li><li>This position requires either equivalent practical experience or a Bachelor’s degree in a related field.<br><br></li></ul><strong>Base Pay Grade</strong> - J<br><br><strong>Equity Grade</strong> - 5<br><br>Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.<br><br>Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)<br><br><strong>USA base pay range (CA, WA, NY, NJ, CT) per year:</strong> $130,000 - $180,000<br><br><strong>USA base pay range (all other U.S. states) per year:</strong> $115,000 - $165,000<br><br><strong>Remote-first with flexibility built in<br><br></strong>Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.<br><br><strong>Benefits Designed For You<br><br></strong>Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:<br><br><ul><li>Health coverage at no cost: We cover 100% of premiums for employees and their dependents.</li><li>Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.</li><li>Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.</li><li>Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.<br><br></li></ul>We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.<br><br>For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.<br><br>By clicking \"Submit Application,\" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.<br><br>",
"seniority_level": "Mid-Senior level",
"job_function": null,
"applicants": null,
"posted_at": "2026-10-18T06:14:18Z",
"source_url": "https://www.linkedin.com/jobs/view/4479305237",
"source_platform": "linkedin",
"search_query": "Software Engineer",
"apply_url": "https://www.linkedin.com/jobs/view/4479305237",
"company_url": "https://www.linkedin.com/company/affirm",
"company_logo_url": "https://media.licdn.com/dms/image/v2/C560BAQEHSbORvS_jKg/company-logo_100_100/company-logo_100_100/0/1630665839795/affirm_logo?e=2147483647&v=beta&t=DTdnXfvSnUdk2QDzx2pxLSTqSBNcll6e2T8YQQGRHEk",
"company_website": "https://www.affirm.com/careers",
"company_industry": "Financial Services",
"company_employee_count": "1,001-5,000 employees",
"company_description": "We create honest financial products that improve lives. | At Affirm, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products. \n\nWe have roles across a variety of teams, including engineering, product, finance, operations, revenue, marketing, people and more.",
"company_type": "Public Company",
"company_founded": "2012",
"company_headquarters": "San Francisco, California",
"company_follower_count": "391407",
"company_specialties": [
"eCommerce",
"Payments",
"Installment Loans",
"Millennials",
"Financial Services",
"Online Payments",
"Retail",
"Personal Finance",
"FinTech",
"Financial Technology",
"and Financial Management"
],
"company_featured_employees": [
{
"name": "Max Levchin",
"url": "https://www.linkedin.com/in/maxlevchin?trk=org-employees",
"photo_url": ""
}
],
"company_jobs_url": "https://www.linkedin.com/company/affirm/jobs",
"company_funding_rounds": null,
"company_last_funding_type": null,
"company_last_funding_date": null,
"company_last_funding_amount": null,
"company_crunchbase_url": null,
"company_latest_updates": [
{
"url": "https://www.linkedin.com/posts/affirm_affirm-is-now-live-at-sur-la-table-just-activity-7521594287642484737-d-01",
"text": "Affirm is now live at Sur La Table . Just in time for holiday hosting, eligible shoppers can pay-over-time with Affirm, with flexible, transparent options and no late or hidden fees. Read more: https://bit.ly/4BwzODd"
},
{
"url": "https://www.linkedin.com/posts/affirm_the-high-cost-of-the-guessing-game-activity-7521257239026761728-5GA0",
"text": "We all deserve precision, transparency, and words that simply mean what they say. A buzzy new film reveals the mental load of decoding everyday obscurity, and why real clarity matters. We break it down in our latest Substack: https://bit.ly/4ss4AsR"
}
],
"job_poster_name": null,
"job_poster_title": null,
"job_poster_profile_url": null,
"job_poster_photo_url": null,
"scraped_at": "2026-11-01T06:14:18Z"
}Priced at $0.0010 per job-result. 10 job-results ≈ $0.01, 100 ≈ $0.10, 1,000 ≈ $1.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.
Recruiters and talent sourcers get hiring-manager contact details, applicant counts, and company funding signals in one call, removing the need for manual LinkedIn browsing. Labour-market researchers use city-level country expansion to pull thousands of results per keyword, going past the 990-result cap per query. Job-board builders and aggregators get a normalized feed with ISO country codes and structured salary that plugs straight into a database schema. Competitive intelligence teams monitor rival hiring velocity by role, seniority, and location week over week. The hiring-manager field and company_featured_employees array make this the only LinkedIn scraper that doubles as a contact-discovery tool without requiring Sales Navigator.
Click Open on Apify above to run linkedin-scraper in your browser - no code, no install. In the Apify console you get:
To run this actor from your own code you need an Apify API token. Get one in about a minute:
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.
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~linkedin-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/linkedin-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/linkedin-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/linkedin-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/linkedin-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();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/linkedin-scraperExample prompt once connected:
"Use <code>linkedin-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.
Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.
@apify/n8n-nodes-apify).santamaria-automations/linkedin-scraper.https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.application/json.https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, method POST, body raw JSON.https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN.steps.http.$return_value in subsequent steps.https://api.apify.com/v2/acts/santamaria-automations~linkedin-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN, body type JSON.$1.00 / 1,000 job-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.
53 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.
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.
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.
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.