# Multi Job Board Scraper - LinkedIn, Indeed + 6 Boards (`parseforge/multi-job-board-scraper`) Actor

Search LinkedIn, Indeed, Naukri and 5 more job boards in one run. 30 normalised fields, annual salary, cross-board dedupe. Export CSV, Excel, JSON, XML.

- **URL**: https://apify.com/parseforge/multi-job-board-scraper.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.50 / 1,000 job results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

![ParseForge Banner](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner-v4.webp)

## 💼 Multi Job Board Scraper

> 🚀 **Search 8 job boards in one run and get one clean jobs dataset.** Type a job title once and get LinkedIn, Indeed, Naukri, Himalayas, Jobicy, RemoteOK, We Work Remotely and Arbeitnow results back as rows with the same 30 fields, salaries converted to a yearly figure, and cross-board duplicates removed.

This Actor queries each board's own public job feed (the same listings their websites show to logged out visitors) and maps every posting into one shared schema. A LinkedIn card, an Indeed mobile listing and a Himalayas remote role all arrive with the same `title`, `company`, `location`, `jobType`, `salaryMin`, `salaryMax`, `postedAt` and `description` columns, so you can sort, filter and chart them together without writing a single mapping.

Coverage from the test runs: 400 jobs across 8 boards in 79 seconds, 16 jobs from all 8 boards in 5 seconds in the cloud, Indeed in 60 countries, every board answering without a proxy. Results are interleaved across boards, so even a 10 item preview shows you every source.

| 🎯 Target Audience | 💡 Primary Use Cases |
|---|---|
| Recruiters and staffing agencies | One morning search across every major board instead of eight tabs |
| Job seekers and career coaches | A single daily feed of new roles, remote and on-site, with salaries side by side |
| HR tech and job aggregator builders | A normalised multi-source feed to power a job board, alert or matching product |
| Labour market analysts and researchers | Salary, seniority and remote-work data across boards and countries |
| Sales teams selling to hiring companies | A list of companies hiring right now, with their careers and apply links |
| Data teams training matching models | Consistent job records with full descriptions from several sources |

### 📋 What the Multi Job Board Scraper does

1. Takes one or more search terms (job titles or keywords) and the boards you want.
2. Runs each term on every selected board in parallel: LinkedIn and Indeed with your location, radius, job type, remote and seniority filters, Naukri for India, four remote-first boards and Arbeitnow for Germany and the EU.
3. Opens each LinkedIn job for the full description, seniority, employment type, job function, industry and applicant count.
4. Normalises every posting to 30 fields: salary range, currency and period plus a yearly equivalent, job type, posting date as ISO timestamp, apply link, company page and tags.
5. Applies your filters on every board, including the ones that do not support them natively, so "past week" or "full-time" means the same thing everywhere.
6. Drops cross-board duplicates (same company, same title, same city) and repeats inside a board.
7. Delivers rows interleaved board by board until your Max Items is reached.

> 💡 **Why it matters:** every job board shows a different slice of the market, and every board formats its data differently. Stitching eight exports together by hand takes hours and still leaves you with duplicates and salaries in four units. This Actor does the stitching for you and bills one flat price per unique job.

### 🎬 Full Demo (🚧 Coming soon)

### 📊 Output

Each dataset row is one job posting. 30 columns per row, the same on every board.

| Field | Type | Description |
|---|---|---|
| 🖼 `imageUrl` | string | Company logo, or `N/A` when the board has none |
| 📌 `title` | string | Job title |
| 🏢 `company` | string | Hiring company |
| 📋 `board` | string | Board the job came from |
| 🔗 `url` | string | Job page on that board |
| 🆔 `id` | string | Board-prefixed unique id, such as `indeed:9521d0608e971ed7` |
| 📍 `location` | string | City, region or `Remote (country)` |
| 🏠 `isRemote` | string | `Yes` or `No` |
| 🕘 `jobType` | string | Full-time, Part-time, Contract, Internship or Temporary |
| 🎓 `experienceLevel` | string | Seniority or required experience, as the board states it |
| 💵 `salaryText` | string | Salary as a readable range |
| ⬇️ `salaryMin` | number | Lower bound in the posted period |
| ⬆️ `salaryMax` | number | Upper bound in the posted period |
| 💱 `salaryCurrency` | string | ISO currency code |
| 📆 `salaryPeriod` | string | hourly, daily, weekly, monthly or yearly |
| 📈 `salaryAnnualMin` | number | Lower bound converted to a year (2,080 hours, 260 days, 52 weeks, 12 months) |
| 📈 `salaryAnnualMax` | number | Upper bound converted to a year |
| 🗓 `postedAt` | string | Posting date, ISO 8601 |
| ✍️ `applyUrl` | string | Apply link. For Indeed this is usually the employer's own application page |
| 🌐 `companyUrl` | string | Company website or company page on the board |
| 📝 `description` | string | Full job description as plain text |
| 🏷 `tags` | array | Skills, benefits and categories the board attaches |
| 🗂 `category` | string | Board category or job function |
| 👥 `applicantsCount` | number | Applicants so far (LinkedIn) |
| 🏭 `companyIndustry` | string | Company industry (LinkedIn) |
| 🧭 `jobFunction` | string | Job function (LinkedIn) |
| ⭐ `companyRating` | number | Employer rating (Naukri, from AmbitionBox) |
| 🔎 `searchTerm` | string | Search term that found the job |
| 🕒 `scrapedAt` | string | When the row was collected |
| ❌ `error` | string | Populated only on failed rows |

Values a board withholds, such as an undisclosed salary, read `Not Disclosed`. Fields a board does not have at all, such as applicant counts outside LinkedIn, read `N/A`. You never get an empty cell that could mean either.

#### Real sample records

Descriptions shortened for this page; the dataset holds the full text.

```json
{
  "imageUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/4d78744604e08e4a5f3f0c91eb9e78b1",
  "title": "Backend Engineer (Python/FastAPI)",
  "company": "turing",
  "board": "Indeed",
  "url": "https://www.indeed.com/viewjob?jk=9521d0608e971ed7",
  "id": "indeed:9521d0608e971ed7",
  "location": "Remote",
  "isRemote": "Yes",
  "jobType": "Contract",
  "experienceLevel": "Not Disclosed",
  "salaryText": "USD 200 - 300 hourly",
  "salaryMin": 200,
  "salaryMax": 300,
  "salaryCurrency": "USD",
  "salaryPeriod": "hourly",
  "salaryAnnualMin": 416000,
  "salaryAnnualMax": 624000,
  "postedAt": "2026-09-24T15:31:57.507Z",
  "applyUrl": "https://turing.betterteam.com/backend-engineer-%28python-fastapi%29-23?utm_source=indeed&utm_medium=web_xmlfeed&utm_campaign=indeed_organic",
  "companyUrl": "https://turing.com/",
  "description": "About Us:\n\nBased in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating ...",
  "tags": [
    "AI models",
    "Software engineering",
    "Rust (programming language)",
    "Go",
    "Node.js",
    "Verification (System development task)"
  ],
  "category": "N/A",
  "applicantsCount": "N/A",
  "companyIndustry": "N/A",
  "jobFunction": "N/A",
  "companyRating": "N/A",
  "searchTerm": "software engineer",
  "scrapedAt": "2026-09-24T17:07:22.521Z",
  "error": null
}
```

```json
{
  "imageUrl": "https://media.licdn.com/dms/image/v2/D4E0BAQFqdm1TZ-RZKQ/company-logo_100_100/B4EZgOay6gHEAY-/0/1752588562343/amazon_web_services_logo?e=2147483647&v=beta&t=813v--p_AS7bme1J7PlAyB2BEU4-c9ba9AUzyuGb5Wg",
  "title": "Software Development Engineer, AWS IAM Distributed Database System",
  "company": "Amazon Web Services (AWS)",
  "board": "LinkedIn",
  "url": "https://www.linkedin.com/jobs/view/software-development-engineer-aws-iam-distributed-database-system-at-amazon-web-services-aws-4455931376",
  "id": "linkedin:4455931376",
  "location": "Seattle, WA",
  "isRemote": "No",
  "jobType": "Full-time",
  "experienceLevel": "Mid-Senior level",
  "salaryText": "Not Disclosed",
  "salaryMin": "Not Disclosed",
  "salaryMax": "Not Disclosed",
  "salaryCurrency": "Not Disclosed",
  "salaryPeriod": "Not Disclosed",
  "salaryAnnualMin": "Not Disclosed",
  "salaryAnnualMax": "Not Disclosed",
  "postedAt": "2026-09-09T00:00:00.000Z",
  "applyUrl": "https://www.linkedin.com/jobs/view/software-development-engineer-aws-iam-distributed-database-system-at-amazon-web-services-aws-4455931376",
  "companyUrl": "https://www.linkedin.com/company/amazon-web-services",
  "description": "Description\n\nThe Amazon Web Services (AWS) Identity team builds, operates, and innovates the identity, authentication, and authorization stack for the AWS cloud. Our mission is to push the technical boundaries to enable AWS customers to run their business ...",
  "tags": [
    "Be an early applicant"
  ],
  "category": "Information Technology, Consulting, and Engineering",
  "applicantsCount": 25,
  "companyIndustry": "IT Services and IT Consulting",
  "jobFunction": "Information Technology, Consulting, and Engineering",
  "companyRating": "N/A",
  "searchTerm": "software engineer",
  "scrapedAt": "2026-09-24T17:07:23.041Z",
  "error": null
}
```

```json
{
  "imageUrl": "https://cdn-images.himalayas.app/3pc0s39uob814yxkuwy550qy0jk9",
  "title": "Software Engineer",
  "company": "ElitevoraSys LLC",
  "board": "Himalayas",
  "url": "https://himalayas.app/companies/elitevorasys-llc/jobs/software-engineer",
  "id": "himalayas:elitevorasys-llc/software-engineer",
  "location": "Remote (United States)",
  "isRemote": "Yes",
  "jobType": "Full-time",
  "experienceLevel": "Senior",
  "salaryText": "USD 160,000 - 240,000 yearly",
  "salaryMin": 160000,
  "salaryMax": 240000,
  "salaryCurrency": "USD",
  "salaryPeriod": "yearly",
  "salaryAnnualMin": 160000,
  "salaryAnnualMax": 240000,
  "postedAt": "2026-09-21T03:43:48.000Z",
  "applyUrl": "https://himalayas.app/companies/elitevorasys-llc/jobs/software-engineer",
  "companyUrl": "https://himalayas.app/companies/elitevorasys-llc",
  "description": "About Us\nElitevoraSys is a modern engineering consultancy focused on building high-performance operational platforms, automation pipelines, and data-driven workflows for clients who need real results - not just software.\nWe partner with organizations to ...",
  "tags": [
    "Software Engineer",
    "Software Engineer Developer",
    "Software Developer",
    "IT Software Engineer",
    "Software Engineer Jobs",
    "Engineering Software Developer"
  ],
  "category": "Developer",
  "applicantsCount": "N/A",
  "companyIndustry": "N/A",
  "jobFunction": "N/A",
  "companyRating": "N/A",
  "searchTerm": "software engineer",
  "scrapedAt": "2026-09-24T17:07:18.925Z",
  "error": null
}
```

### ✨ Why choose this Actor

- **8 boards, one schema.** LinkedIn, Indeed, Naukri, Himalayas, Jobicy, RemoteOK, We Work Remotely and Arbeitnow, every row with the same 30 columns. No per-board spreadsheets to merge.
- **Five boards the big tools skip.** Four remote-first boards (Himalayas, Jobicy, RemoteOK, We Work Remotely) plus Arbeitnow for Germany and the EU list roles that often never reach LinkedIn or Indeed. Most multi-board scrapers stop at the big two.
- **Salaries you can compare.** Every salary comes with currency, period and a yearly equivalent, so a $200 hourly contract and a $160,000 salary sit on the same axis.
- **Cross-board duplicates removed.** When the same company posts the same title in the same city on two boards, you get it once and pay for it once.
- **Filters that work everywhere.** Posted within, job type and remote-only are sent to the boards that support them and applied to the results on the boards that do not.
- **Direct employer apply links from Indeed.** `applyUrl` usually points to the company's own application page (Workable, Greenhouse, Workday and so on), not only to the Indeed listing.
- **No login, no cookies, no API keys.** Every board answers logged out. If LinkedIn or Indeed start limiting an IP, the Actor rotates Apify datacenter sessions for that board on its own.
- **Fast.** Plain HTTP against each board's own JSON feed. 400 jobs from 8 boards took 79 seconds in testing.

### 📈 How it compares to alternatives

| | This Actor | Typical multi-board scraper | Single-board scrapers | Manual search |
|---|---|---|---|---|
| Boards per run | 8 | 3 to 6 | 1 | 1 at a time |
| Remote-first boards | 4 included | Rarely | Separate tools | Separate sites |
| Same columns on every board | Yes, 30 | Partly | No | No |
| Yearly salary equivalent | Yes | No | No | No |
| Cross-board duplicates | Removed | Often kept | Kept | Kept by hand |
| Indeed countries | 60 | Varies | Varies | 1 site each |
| Glassdoor, ZipRecruiter, Google Jobs | Not included | Often advertised | Available separately | Yes |
| Login or cookies | None | None | Some need them | Your accounts |

About the boards that are not included: Glassdoor, ZipRecruiter, Google Jobs and Bayt all answered our test requests with a bot challenge on every connection type we tried, including residential proxies, so they are not part of this Actor. We would rather tell you now than sell you rows that silently come back empty. LinkedIn also stops paging at about 1,000 results per search, Jobicy returns up to 100 jobs per term, and RemoteOK, We Work Remotely and Arbeitnow publish only their newest postings, so broad terms on those three return their latest listings rather than their full archive.

### 🚀 How to use

1. Create a free Apify account. New accounts include $5 of free platform credit, which is plenty to try this out: [console.apify.com/sign-up](https://console.apify.com/sign-up?fpr=vmoqkp)
2. Open the Actor and go to the Input tab.
3. Enter one or more **Search terms**, such as `data analyst` or `registered nurse`.
4. Pick the **Job boards** and type a **Location** for LinkedIn, Indeed and Naukri. Choose the matching **Indeed country**.
5. Optionally narrow with **Posted within**, **Job type**, **Remote only** and **LinkedIn experience level**.
6. Set **Max Items** and click **Start**. The log prints a per-board count at the end.
7. Open the **Dataset** tab and download as CSV, Excel, JSON or XML, or pull it straight from the API.

```json
{
  "searchTerms": ["data analyst", "business analyst"],
  "location": "New York, NY",
  "indeedCountry": "US",
  "datePosted": "7d",
  "remoteOnly": false,
  "maxItems": 500
}
```

### 💼 Business use cases

#### Recruiting and staffing

Run your open requisitions as search terms every morning with **Posted within** set to the past 24 hours. You get every new competing posting across LinkedIn, Indeed and the remote boards in one sheet, with `company`, `applyUrl` and `applicantsCount` to judge how contested each role is. Agencies use the `company` column as a live list of businesses that are hiring right now.

#### Salary benchmarking

Filter on `salaryAnnualMin` and `salaryAnnualMax` to compare pay for the same title across boards, cities and remote versus on-site roles. Because every figure is annualised with the same rules, a monthly Naukri range, an hourly Indeed contract and a yearly Himalayas salary can go on one chart.

#### Job board and alert products

Schedule the Actor per keyword and push the dataset into your own job board, newsletter or Slack alert. The board-prefixed `id` is stable across runs, so you can insert only the jobs you have not seen before and never show the same posting twice.

#### Sales intelligence for HR and recruiting vendors

A company posting ten engineering roles this week is a warm lead for recruiting software, background checks, relocation services or contractors. Group the dataset by `company`, count postings, and hand the list to your sales team with `companyUrl` for each account.

### 🔌 Automating Multi Job Board Scraper

- **Make** and **Zapier**: run the Actor on a schedule and send each new job to a spreadsheet, CRM or email digest.
- **Slack**: post fresh matches for a saved search into a channel every morning.
- **Airbyte**: sync every run into Snowflake, BigQuery or Postgres for labour market dashboards.
- **GitHub**: trigger runs from Actions and keep a versioned history of postings for a keyword.
- **Google Drive**: drop a CSV or Google Sheet into a shared folder after every run.
- **API and webhooks**: subscribe to the run succeeded webhook and pull the rows into any system you already run.

### 🌟 Beyond business use cases

- **Research**: track remote-work share, salary transparency and seniority mix by board and country over time.
- **Personal**: build your own daily job feed across eight boards and stop checking each one by hand.
- **Non-profit**: help job seekers in a workforce programme find openings that match their skills in one list.
- **Experimentation**: a consistent, multi-source job corpus with full descriptions is ideal for testing matching, classification or skill-extraction models.

### 🤖 Ask an AI assistant about this scraper

Paste this into ChatGPT, Claude or any assistant to get help designing your run:

> I am using the ParseForge Multi Job Board Scraper on Apify. It searches LinkedIn, Indeed (60 countries), Naukri, Himalayas, Jobicy, RemoteOK, We Work Remotely and Arbeitnow for my search terms and returns one row per job with 30 fields including title, company, board, location, isRemote, jobType, experienceLevel, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryAnnualMin, salaryAnnualMax, postedAt, applyUrl, companyUrl, description, tags, applicantsCount (LinkedIn) and companyRating (Naukri). Filters: posted within, job type, remote only, LinkedIn experience level, distance. Help me design a run and an analysis to answer this question: \[your question here].

### ❓ Frequently Asked Questions

**🔐 Do I need accounts, cookies or API keys for the job boards?**
No. Every board is read logged out through the same public feeds its website and apps use. You never hand over credentials.

**📋 Which boards are included?**
LinkedIn, Indeed, Naukri, Himalayas, Jobicy, RemoteOK, We Work Remotely and Arbeitnow. Naukri is India only and Arbeitnow is mostly Germany, so both are off by default; switch them on in **Job boards**.

**🚫 Why are Glassdoor, ZipRecruiter and Google Jobs not included?**
All three, plus Bayt, returned a bot challenge to every request we tested, from home connections, datacenter and residential proxies alike. Rather than advertise boards that come back empty, we left them out. ParseForge has dedicated Glassdoor and Google Jobs Actors if you need those sources.

**🧹 How does the duplicate removal work?**
Inside one board, a job is kept once per run by its id. Across boards, a job is dropped when a row with the same company, the same title and the same city (or both remote) was already delivered. Turn off **Remove cross-board duplicates** to keep every board's copy.

**💵 How is the yearly salary calculated?**
Hourly figures are multiplied by 2,080, daily by 260, weekly by 52 and monthly by 12. Yearly figures stay as they are. The original range, currency and period are kept next to the yearly numbers.

**🌍 Does the location filter apply to every board?**
Location, distance and Indeed country apply to LinkedIn, Indeed and Naukri. Himalayas, Jobicy, RemoteOK and We Work Remotely list remote roles, so they ignore location; their `location` column shows the countries a role is open to.

**🗓 Why do some boards return only a handful of jobs?**
RemoteOK, We Work Remotely and Arbeitnow publish only their newest postings (about 100, 85 and 1,500 respectively) without a search, so the Actor filters those by your terms. A niche term can match few of them. LinkedIn stops paging at about 1,000 results per search and Jobicy returns up to 100 per term.

**⏱ How long does a run take?**
About 5 seconds for a 16 job run across all 8 boards, and 79 seconds for 400 jobs in testing. Turning off **LinkedIn full details** makes LinkedIn rows faster but drops their description, seniority and applicant count.

**🌐 Do I need a proxy?**
No. All boards answered without one. If LinkedIn or Indeed start limiting the IP, the Actor switches that board to rotating Apify datacenter sessions automatically and logs it. You can also turn on Apify Proxy yourself for very large runs.

**📥 What export formats are supported?**
CSV, Excel, JSON, XML, plus direct API access and integrations with Make, Zapier, Airbyte, Slack, Google Drive and more.

**⚖️ Is this legal?**
The Actor collects publicly available job postings that the boards publish to anonymous visitors. You remain responsible for how you use the data, including each board's terms, attribution requests from boards such as RemoteOK and Jobicy (the `url` column links back to them), and privacy law where it applies.

### 🔌 Integrate with any app

Every run writes to an Apify dataset reachable through a REST API, so the output drops into whatever you already use. Native integrations cover Make, Zapier, Airbyte, Slack, Google Drive, GitHub, Google Sheets and webhooks, and the API covers everything else.

### 🔗 Recommended Actors

- [LinkedIn Jobs Scraper - 31 Fields Per Job](https://apify.com/parseforge/linkedin-jobs-scraper) - deeper LinkedIn-only searches with salary and Easy Apply filters.
- [Indeed Jobs Scraper - 44 Fields, Salary & Company](https://apify.com/parseforge/indeed-scraper) - every Indeed field, including the full employer profile.
- [Glassdoor Jobs Scraper - Salary & Company Rating](https://apify.com/parseforge/glassdoor-jobs-scraper) - Glassdoor listings with company ratings.
- [Google Jobs Scraper](https://apify.com/parseforge/google-jobs-scraper) - Google's job search results and apply links.
- [Job Scraper - 21 ATS, Salary & Geocoded on Every Row](https://apify.com/parseforge/career-site-jobs-scraper) - jobs straight from company career sites on Greenhouse, Lever, Workday and more.

> 💡 **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge).

**🆘 Need Help?** [Open our contact form](https://tally.so/r/BzdKgA)

> **⚠️ Disclaimer:** independent tool, not affiliated with LinkedIn, Indeed, Naukri, Himalayas, Jobicy, RemoteOK, We Work Remotely or Arbeitnow; only publicly available data.

# Actor input Schema

## `searchTerms` (type: `array`):

Job titles or keywords to search on every selected board, one per line. Each term runs as its own search.

## `maxItems` (type: `integer`):

Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000

## `sources` (type: `array`):

Boards to search. Results are interleaved across boards so a small run still covers all of them. Naukri is India only and Arbeitnow is mostly Germany, so they are off by default.

## `location` (type: `string`):

City, state or country as you would type it on the board, for example "New York, NY", "London" or "United States". Used by LinkedIn, Indeed and Naukri. Leave empty for anywhere.

## `indeedCountry` (type: `string`):

Which national Indeed site to search. Pick the country that matches the location.

## `distance` (type: `integer`):

Search radius around the location for LinkedIn and Indeed. Indeed uses kilometres outside the US, and the value is converted.

## `datePosted` (type: `string`):

Only keep jobs posted within this window. Applied on every board.

## `jobType` (type: `string`):

Employment type. Jobs whose board does not state a type are kept.

## `remoteOnly` (type: `boolean`):

Only remote roles. LinkedIn, Indeed, Naukri and Arbeitnow are filtered; the remote boards are remote already.

## `sortBy` (type: `string`):

Order results by relevance or by newest first on boards that support it.

## `linkedinExperienceLevel` (type: `array`):

LinkedIn seniority filter. Leave empty for all levels.

## `linkedinFetchDetails` (type: `boolean`):

Open each LinkedIn job for the full description, seniority, employment type, job function, industry and applicant count. Turn off for faster, card-only rows.

## `includeDescription` (type: `boolean`):

Add the full job description as plain text. Turn off for a lighter dataset.

## `dedupeAcrossBoards` (type: `boolean`):

Drop a job when the same company already posted the same title in the same city on another board in this run.

## `proxyConfiguration` (type: `object`):

All boards answer without a proxy. Turn on Apify Proxy for very large runs.

## Actor input object example

```json
{
  "searchTerms": [
    "data analyst"
  ],
  "maxItems": 10,
  "sources": [
    "linkedin",
    "indeed",
    "himalayas",
    "jobicy",
    "remoteok",
    "weworkremotely"
  ],
  "location": "United States",
  "indeedCountry": "US",
  "distance": 25,
  "datePosted": "any",
  "jobType": "any",
  "remoteOnly": false,
  "sortBy": "relevance",
  "linkedinFetchDetails": true,
  "includeDescription": true,
  "dedupeAcrossBoards": true,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

Key fields

## `fullData` (type: `string`):

Complete dataset with all 30 fields

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchTerms": [
        "data analyst"
    ],
    "maxItems": 10,
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/multi-job-board-scraper").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchTerms": ["data analyst"],
    "maxItems": 10,
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/multi-job-board-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchTerms": [
    "data analyst"
  ],
  "maxItems": 10,
  "location": "United States"
}' |
apify call parseforge/multi-job-board-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/multi-job-board-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xFauvJxxTCep5i5AH/builds/YmCbJEZLo9rdJfKjH/openapi.json