Retrieving digital assets...
Scrape job listings from Google Jobs search including title, company, location, salary, and description
99%
30s
500+
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
query | String | Yes | "software engineer" | Job title or keywords to search for |
location | String | No | "San Francisco" | Job location (city, state, country) |
maxItems | Integer | No | 50 | Maximum number of job listings to scrape (1–500) |
gl | String | No | "us" | Country code for localized results (e.g., us, in, gb) |
hl | String | No | "en" | Language code (e.g., en, es, fr) |
proxyConfiguration | Object | No | Apify Residential | Proxy settings for the scraper |
{
"query": "data scientist",
"location": "New York",
"maxItems": 20,
"gl": "us",
"hl": "en",
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
The scraper outputs structured JSON data for each job listing found on Google Jobs.
| Field | Type | Description |
|---|---|---|
position | Integer | Result position in the search |
jobTitle | String | Title of the job listing |
company | String | Company offering the job |
location | String | Job location |
salary | String | Salary information (if available) |
datePosted | String | When the job was posted |
jobType | String | Employment type (Full-time, Part-time, Contract, etc.) |
description | String | Full job description text |
applyLink | String | Primary URL to apply for the job |
applyLinks | Array | All available apply links with text and URL |
source | String | Job listing source (e.g., LinkedIn, Indeed, company site) |
searchQuery | String | The search query used |
searchLocation | String | Location searched |
scrapedAt | String | ISO timestamp of when the data was scraped |
{
"position": 1,
"jobTitle": "Senior Data Scientist",
"company": "Google",
"location": "New York, NY",
"salary": "$150,000 - $200,000 a year",
"datePosted": "3 days ago",
"jobType": "Full-time",
"description": "We are looking for a Senior Data Scientist to join our team...",
"applyLink": "https://careers.google.com/jobs/results/12345",
"applyLinks": [
{ "text": "Apply on Google Careers", "url": "https://careers.google.com/jobs/results/12345" },
{ "text": "Apply on LinkedIn", "url": "https://www.linkedin.com/jobs/view/12345" }
],
"source": "Google Careers",
"searchQuery": "data scientist",
"searchLocation": "New York",
"scrapedAt": "2025-01-15T10:30:00.000Z"
}
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