Global Jobs Scraper — LinkedIn, Indeed & More

Global Jobs Scraper is a multi-source jobs API for searching public listings from LinkedIn, Indeed, Bing Jobs, and Xing in one run. Search worldwide by job title, skill, location, recency, employment type, or remote preference, then export deduplicated job data as JSON, CSV, Excel, XML, or through the Apify API. You can also create structured salary reports by role and country.

No LinkedIn or Indeed account, cookies, proxy configuration, or external API key is required. Enter your search, select the job platforms, and click Start.

Why use this global jobs scraper?

• Search four major job sources together. Replace separate LinkedIn Jobs, Indeed, Bing Jobs, and Xing extraction workflows with one Actor.
• Get one consistent schema. Titles, companies, locations, salaries, posting dates, descriptions, and application URLs use the same field names across sources.
• Collect worldwide job data. Run a location-free worldwide LinkedIn search or target countries, cities, and regions supported by the selected source.
• Choose cost or completeness. Use economical standard results for discovery, or enriched results when every saved job must include a description and application URL.
• Remove duplicate listings automatically. Cross-posted jobs are merged before they reach the dataset and before result billing.
• Pay only for usable data events. Invalid records, incomplete enrichments, unavailable salary reports, and duplicate jobs do not trigger a result event.
• Automate without maintaining a scraper. Run from the Apify Console, API, Python, JavaScript, schedules, webhooks, Make, Zapier, n8n, or your existing data pipeline.

What job data can you extract?

Every job record can contain the following fields when the publisher makes them available:

Data group	Fields
Job	jobId, title, employmentType, description, detailLevel
Company	companyName
Location	location, remote
Application	jobUrl
Dates	postedAt, scrapedAt
Compensation	salaryMin, salaryMax, salaryCurrency, salaryPeriod
Provenance	source, resultType

Use the resulting job dataset for:

• recruiting and candidate sourcing workflows;
• job-board aggregation and job alert products;
• remote-job monitoring;
• labor-market and skills-demand research;
• company hiring and competitor intelligence;
• salary benchmarking by title and country;
• AI, search, analytics, ATS, CRM, and data-warehouse pipelines.

Standard jobs vs. enriched job details

Choose the result level that matches your workflow and budget.

	Standard	Enriched
Best for	Discovery, monitoring, large datasets	Job pages, ATS records, AI analysis
Maximum saved jobs	500 per run	50 per run
Description	Included when available	Required for every saved job
Application URL	Included when available	Required for every saved job
Billing event	job-result	job-detail
Sources	LinkedIn, Indeed, Bing, Xing	LinkedIn, Indeed, Bing, Xing

Salary information attached to a job stays part of that job. It does not create a separate salary-report charge.

Worldwide job search coverage

The Actor is built for global job discovery, but each public job platform supports a different search vocabulary. Unsupported filters are never silently converted into a different filter; they are applied only to compatible sources and the run reports the limitation.

Source	Coverage and filter behavior
LinkedIn	Supports worldwide searches when locations is empty, plus remote, date-posted, and employment-type filters.
Indeed	Uses countryCode to select the job market. Shared remote, date, and employment-type filters are not applied to Indeed.
Bing	Requires a location. Supports remote and past-day/past-week filters; internship is not supported.
Xing	Best coverage is in German-speaking job markets. Supports remote and past-day/past-week/past-month filters.

For the broadest multi-platform coverage, provide both a two-letter countryCode and a city, region, or country in locations. For a worldwide LinkedIn search, select only LinkedIn and leave locations empty.

How to scrape jobs in less than a minute

1. Open the Input tab.
2. Enter up to five job titles, skills, company names, or keyword searches.
3. Choose up to five locations and any combination of LinkedIn, Indeed, Bing, and Xing.
4. Select Standard for economical discovery or Enriched for complete descriptions and application URLs.
5. Set maxJobs, click Start, and preview the normalized results in the Output tab.
6. Download the dataset or connect it to your application through the Apify API.

Multi-platform job search example

This search combines four sources and deduplicates their results:

{
  "mode": "jobs",
  "queries": ["Software engineer", "Data engineer"],
  "countryCode": "DE",
  "locations": ["Berlin"],
  "sources": ["linkedin", "indeed", "bing", "xing"],
  "resultMode": "standard",
  "datePosted": "week",
  "employmentTypes": ["full_time"],
  "maxJobs": 100,
  "maxPagesPerSearch": 2
}

Some shared filters in a mixed search apply only to compatible sources. For example, Indeed results are still included in the example above, but the shared date and employment-type filters are not sent to Indeed.

Worldwide LinkedIn jobs example

Leave locations empty to search LinkedIn worldwide:

{
  "mode": "jobs",
  "queries": ["Machine learning engineer"],
  "locations": [],
  "sources": ["linkedin"],
  "resultMode": "standard",
  "maxJobs": 100,
  "maxPagesPerSearch": 2
}

Remote jobs scraper example

{
  "mode": "jobs",
  "queries": ["Python developer"],
  "countryCode": "US",
  "locations": ["United States"],
  "sources": ["linkedin", "bing"],
  "resultMode": "enriched",
  "remoteOnly": true,
  "datePosted": "week",
  "employmentTypes": ["full_time", "contract"],
  "maxJobs": 25
}

Salary data API

Salary mode creates one structured compensation report per requested job title for a two-letter country code. A complete report includes a currency and at least one numeric salary range. Hourly, daily, weekly, monthly, and yearly minimum, maximum, mean, and median values are returned where available.

{
  "mode": "salary",
  "queries": ["Software engineer", "Data engineer", "Product manager"],
  "countryCode": "US"
}

An unavailable or incomplete salary report is omitted and does not trigger a salary-report event. Salary coverage varies by role and country, so start with a small test for your target market.

Job scraper output example

The default dataset contains flat, analysis-ready records. Optional fields are omitted when the original listing does not provide them; the Actor does not invent missing values.

{
  "resultType": "job",
  "detailLevel": "enriched",
  "jobId": "example-job-id",
  "source": "LinkedIn",
  "title": "Senior Data Engineer",
  "companyName": "Example Labs",
  "location": "New York, NY",
  "remote": true,
  "employmentType": "full_time",
  "description": "Build reliable data products and pipelines...",
  "jobUrl": "https://www.linkedin.com/jobs/view/example-job-id",
  "postedAt": "2026-08-09T14:30:00Z",
  "salaryMin": 135000,
  "salaryMax": 175000,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "scrapedAt": "2026-08-10T09:15:00Z"
}

Salary reports use resultType: "salaryReport" and include jobTitle, country, countryCode, currency, lastUpdatedAt, reportId, scrapedAt, and the available salary statistics such as hourlyMedian, monthlyMean, or yearlyMax.

Results can be downloaded from Apify as JSON, JSONL, CSV, Excel, XML, RSS, or HTML.

Use the jobs scraper as an API

Python

import os

from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_API_TOKEN"])

run = client.actor("datavoyantlab/multi-source-jobs-api").call(
    run_input={
        "mode": "jobs",
        "queries": ["Data engineer"],
        "countryCode": "GB",
        "locations": ["London"],
        "sources": ["linkedin", "indeed", "bing"],
        "resultMode": "standard",
        "maxJobs": 50,
    }
)

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job.get("companyName"), job.get("jobUrl"))

HTTP

Run the Actor synchronously and receive dataset items in the response:

curl --request POST \
  "https://api.apify.com/v2/acts/datavoyantlab~multi-source-jobs-api/run-sync-get-dataset-items" \
  --header "Authorization: Bearer $APIFY_API_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{
    "mode": "jobs",
    "queries": ["Data engineer"],
    "countryCode": "CA",
    "locations": ["Toronto"],
    "sources": ["linkedin", "indeed", "bing"],
    "resultMode": "standard",
    "maxJobs": 25
  }'

The Actor's API tab also generates ready-to-use examples for Python, JavaScript, HTTP, OpenAPI, and MCP.

Automate job monitoring and recruiting workflows

• Use Apify Schedules to collect new jobs every day or week.
• Send completed datasets to a webhook, database, ATS, CRM, Google Sheets, or a data warehouse.
• Connect the Actor to Make, Zapier, n8n, Slack, or Airbyte through Apify integrations.
• Store jobId in your application to compare recurring runs and detect newly published jobs.
• Use standard mode for frequent monitoring, then run a smaller enriched search when full descriptions are required.

Pay-per-event pricing

The Actor uses transparent pay-per-event billing:

Event	When it is charged
apify-actor-start	Automatically when a run starts; the live price is shown in the Pricing tab.
job-result	Once for each valid standard job saved to the default dataset.
job-detail	Once for each valid enriched job saved with a description and application URL.
salary-report	Once for each complete salary report saved to the default dataset.

Each saved item triggers exactly one data event, in addition to the small Actor-start event. Duplicate jobs, invalid records, incomplete enrichments, and unavailable salary reports are not saved and do not trigger a data event. A run with no matching results can still incur the Actor-start charge.

Use Apify's maximum charge per run setting to enforce a hard budget. Before the search starts, the Actor reduces the requested result count when the remaining charge limit is smaller than maxJobs. The live Pricing tab is always the source of truth for event prices and platform-usage charges.

Free-account safeguards

Users without a paid Apify plan can evaluate every output mode under a deliberately small allowance. Job searches are limited to one query, one location, two platforms, one page, and either 25 standard results or 5 enriched results. Salary mode accepts one query per run. The allowance includes up to 3 runs and 10 uncached data requests per day, with a maximum of 30 uncached data requests per month. Repeated cached searches do not consume the data-request allowance.

When the free allowance is exhausted, the Actor stops without saving or charging a data event; the small Actor-start event can still apply. Paid Apify users retain the full input limits documented above.

Tips for better job search results

• Start with one precise title and one location, then expand the query after checking relevance.
• Use maxPagesPerSearch: 1 for quick tests and increase it only when you need deeper coverage.
• Select standard mode for broad or recurring searches. Enriched mode performs more work per result and is intended for smaller, detail-heavy datasets.
• Search synonyms separately, such as software engineer, backend developer, and platform engineer, because job publishers use different titles.
• For global research, split large searches by country or region. This makes scheduled runs easier to compare and diagnose.
• Treat maxJobs as an upper limit, not a guaranteed count. Available public listings, selected filters, source availability, and deduplication determine the final total.

Frequently asked questions

Is this a LinkedIn Jobs scraper and an Indeed Jobs scraper?

Yes. It searches public LinkedIn and Indeed job listings and can combine them with Bing and Xing results in the same normalized dataset. You can select one source or any combination of the four.

Do I need a LinkedIn account, Indeed account, cookies, or an API key?

No. Users provide only an Apify API token when calling the Actor programmatically. No account, session cookie, proxy setup, or external data-provider key is required in the Actor input.

Can this Actor search jobs worldwide?

Yes, with source-specific coverage. LinkedIn supports a worldwide search when no location is supplied. Indeed selects markets with countryCode, Bing uses free-form locations, and Xing is strongest in German-speaking markets. No single platform is guaranteed to have listings for every role and location.

Are full job descriptions and application URLs guaranteed?

Use enriched mode when both are required. Standard mode may omit either field when it is not present in the discovery result. In enriched mode, incomplete records are discarded instead of being billed as job details.

Why did the Actor return fewer jobs than maxJobs?

maxJobs is a ceiling. A narrow query may have fewer public listings, multiple sources may return the same job, filters may reduce the result set, or one selected source may be temporarily unavailable. The Actor removes duplicates rather than charging for repeated records.

Can I schedule the Actor for daily job alerts?

Yes. Create an Apify Schedule and connect the finished run to a webhook or integration. For change detection, retain jobId from earlier runs and compare it with the latest dataset.

Is job and salary data always complete?

No. Public listings often omit salary, employment type, posting date, or remote status. Optional job fields are returned only when available. Standalone salary reports are saved only when they contain a currency and at least one numeric salary range.

Troubleshooting

• Invalid input with Indeed selected: add a two-letter countryCode, such as US, GB, FR, DE, IN, BR, or AU.
• Invalid input with Bing selected: add at least one value to locations.
• Invalid enriched search: set maxJobs to 50 or less.
• Too many job queries: jobs mode accepts up to five queries per run; salary mode accepts up to twenty.
• No matching results: broaden the title or location, remove optional filters, or try another source. No result event is charged when nothing is saved.
• Some filters were partially applied: one selected source does not support that filter. Check the worldwide coverage table above.

Responsible use and support

This Actor collects public job-listing and aggregate salary information. Listings can be changed or removed after collection, and output accuracy depends on the original publisher. Follow applicable laws, data-protection requirements, and the terms of the websites whose public data you use. Do not use job data for unlawful discrimination, spam, or decisions that require verified information without independent review.

If a run behaves unexpectedly, open the Actor's Issues tab and include the run ID, selected sources, and a sanitized input example. Never post your Apify API token or other credentials in an issue.