# Google Jobs Scraper (`gio21/google-jobs-scraper`) Actor
Scrape Google for Jobs. 22+ fields per posting (title, company, salary, apply links, remote flag). US/BR/MX/CA/UK/IN/AU/JP/SG. Pay $0.008 per job.
- **URL**: https://apify.com/gio21/google-jobs-scraper.md
- **Developed by:** [Gio](https://apify.com/gio21) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
$8.00 / 1,000 job scrapeds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Google Jobs Scraper
**The Google Jobs scraper that actually returns salary and apply links.**
Scrape Google for Jobs at scale. Get 22+ structured fields per posting — title, company, salary range, apply links (LinkedIn, Indeed, Glassdoor, company ATS), remote flag, qualifications, benefits, coordinates and more. No brittle HTML parsing: this actor combines Google's inline `AF_initDataCallback` payloads with schema.org `JobPosting` JSON-LD and DOM fallbacks for maximum coverage.
### Why this actor
Most Google Jobs scrapers on the market return 5–6 fields and crash on pagination. This one:
- Returns **22 fields per job**, including `salaryMin` / `salaryMax` / `salaryCurrency` / `salaryPeriod`.
- Extracts **apply links** per network (LinkedIn, Indeed, Glassdoor, Workday, Greenhouse, Lever, company career pages).
- Supports **matrix expansion** for large runs: when you ask for more than 500 jobs, the actor automatically rotates the `datePosted` filter (today → 3days → week → month) and iterates employment types to unlock Google's pagination ceiling.
- Ships with a **hard cost ceiling** (`maxCost`, default $2) so runs never blow past your budget.
- Uses **Brightdata Scraping Browser** over CDP — no cookie input, no manual auth, just results.
### Pricing
Pay-per-event:
- **$0.008 per job scraped** (primary event)
- **$0.05 minimum charge per run**
- No actor-start fee.
Example: 500 jobs = $4.00. 2000 jobs = $16.00. You know exactly what you'll pay.
### Coverage
Supported countries (Google's Jobs widget is disabled in the EU, so EU is intentionally out of scope):
| Code | Country |
|------|---------|
| `us` | United States |
| `br` | Brazil |
| `mx` | Mexico |
| `ca` | Canada |
| `gb` | United Kingdom |
| `in` | India |
| `au` | Australia |
| `jp` | Japan |
| `sg` | Singapore |
### Input
```json
{
"queries": ["software engineer", "data scientist"],
"location": "San Francisco, CA",
"countryCode": "us",
"languageCode": "en",
"maxItems": 500,
"datePosted": "week",
"jobType": ["FULLTIME"],
"workFromHome": false,
"maxCost": 2
}
````
### Output
Each job record has:
```json
{
"jobId": "eyJhbGciOi...",
"title": "Senior Software Engineer",
"companyName": "Acme Inc",
"companyLogo": "https://...",
"location": "San Francisco, CA, US",
"latitude": 37.77,
"longitude": -122.42,
"description": "We're hiring...",
"descriptionHtml": "We're hiring...
",
"postedAt": "2026-04-10T00:00:00Z",
"postedAtIso": "2026-04-10T00:00:00.000Z",
"jobType": "FULLTIME",
"workFromHome": false,
"salaryMin": 180000,
"salaryMax": 240000,
"salaryCurrency": "USD",
"salaryPeriod": "YEAR",
"benefits": ["Health insurance", "401(k)"],
"qualifications": ["5+ years experience", "Go or Rust"],
"responsibilities": ["Design distributed systems", "Mentor engineers"],
"applyOptions": [
{ "network": "linkedin", "url": "https://www.linkedin.com/jobs/...", "directApply": false },
{ "network": "greenhouse", "url": "https://boards.greenhouse.io/...", "directApply": false }
],
"postedVia": "LinkedIn",
"scrapedAt": "2026-04-15T12:00:00.000Z",
"sourceQuery": "software engineer"
}
```
### Notes & limits
- EU countries are **not** supported (Google disabled the widget there in 2023).
- Google caps visible results per search to ~100 per filter slice; that's why `maxItems > 500` triggers matrix expansion.
- `jobId` is sourced from Google's internal identifier when available; otherwise synthesized from `title|company|location` to support dedup across runs.
- Rate us on the Apify Store if this actor helped you!
# Actor input Schema
## `queries` (type: `array`):
One or more search queries (e.g. 'software engineer', 'nurse practitioner'). Each query runs independently.
## `location` (type: `string`):
City, state or region (e.g. 'San Francisco, CA'). Leave empty for country-wide results.
## `countryCode` (type: `string`):
ISO-2 country code. EU countries are excluded (Google disabled the Jobs widget in the EU).
## `languageCode` (type: `string`):
ISO language code for results (e.g. 'en', 'pt', 'es').
## `maxItems` (type: `integer`):
Maximum number of jobs to scrape across all queries (after dedup).
## `datePosted` (type: `string`):
Filter by when the job was posted.
## `jobType` (type: `array`):
Filter by employment type. Leave empty for all types.
## `workFromHome` (type: `boolean`):
Return only remote jobs.
## `maxCost` (type: `number`):
Hard ceiling for Brightdata bandwidth cost when matrix expansion kicks in (maxItems > 500). Default $2, maximum $20.
## `proxyConfiguration` (type: `object`):
Advanced. Actor uses Brightdata Scraping Browser by default. Only used as fallback.
## Actor input object example
```json
{
"queries": [
"software engineer"
],
"countryCode": "us",
"languageCode": "en",
"maxItems": 500,
"datePosted": "all",
"jobType": [],
"workFromHome": false,
"maxCost": 2,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"queries": [
"software engineer"
],
"maxItems": 500,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("gio21/google-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"queries": ["software engineer"],
"maxItems": 500,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("gio21/google-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"queries": [
"software engineer"
],
"maxItems": 500,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call gio21/google-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=gio21/google-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Jobs Scraper",
"description": "Scrape Google for Jobs. 22+ fields per posting (title, company, salary, apply links, remote flag). US/BR/MX/CA/UK/IN/AU/JP/SG. Pay $0.008 per job.",
"version": "0.0",
"x-build-id": "Vroeh5ga9qnSUM77q"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/gio21~google-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-gio21-google-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/gio21~google-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-gio21-google-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/gio21~google-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-gio21-google-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"queries"
],
"properties": {
"queries": {
"title": "Search queries",
"uniqueItems": true,
"type": "array",
"description": "One or more search queries (e.g. 'software engineer', 'nurse practitioner'). Each query runs independently.",
"items": {
"type": "string"
}
},
"location": {
"title": "Location",
"type": "string",
"description": "City, state or region (e.g. 'San Francisco, CA'). Leave empty for country-wide results."
},
"countryCode": {
"title": "Country",
"enum": [
"us",
"br",
"mx",
"ca",
"gb",
"in",
"au",
"jp",
"sg"
],
"type": "string",
"description": "ISO-2 country code. EU countries are excluded (Google disabled the Jobs widget in the EU).",
"default": "us"
},
"languageCode": {
"title": "Language",
"type": "string",
"description": "ISO language code for results (e.g. 'en', 'pt', 'es').",
"default": "en"
},
"maxItems": {
"title": "Max jobs",
"minimum": 50,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of jobs to scrape across all queries (after dedup).",
"default": 500
},
"datePosted": {
"title": "Date posted",
"enum": [
"all",
"today",
"3days",
"week",
"month"
],
"type": "string",
"description": "Filter by when the job was posted.",
"default": "all"
},
"jobType": {
"title": "Job type",
"uniqueItems": true,
"type": "array",
"description": "Filter by employment type. Leave empty for all types.",
"items": {
"type": "string",
"enum": [
"FULLTIME",
"PARTTIME",
"CONTRACTOR",
"INTERN"
]
},
"default": []
},
"workFromHome": {
"title": "Remote / work from home only",
"type": "boolean",
"description": "Return only remote jobs.",
"default": false
},
"maxCost": {
"title": "Max matrix expansion cost (USD)",
"minimum": 0.25,
"maximum": 20,
"type": "number",
"description": "Hard ceiling for Brightdata bandwidth cost when matrix expansion kicks in (maxItems > 500). Default $2, maximum $20.",
"default": 2
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Advanced. Actor uses Brightdata Scraping Browser by default. Only used as fallback."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```