# Google Jobs Scraper: Salary, Remote, Internship Tags (`nightshift-data/google-jobs-scraper-clean`) Actor

Scrape Google Jobs listings with clean fields: parsed salary, remote flag, internship/entry/senior tag, ISO posted date, apply links, deduped.

- **URL**: https://apify.com/nightshift-data/google-jobs-scraper-clean.md
- **Developed by:** [Night Shift Data](https://apify.com/nightshift-data) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 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.

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

## Google Jobs Scraper: clean salary, remote and internship data

Search Google Jobs (the jobs panel in Google Search) and get one tidy row per job. No raw nested blobs. Ask for 100 or 500 jobs and auto-expand finds them across nearby cities and similar titles. Salary, remote flag, job level and posted date are parsed for you, and duplicates are removed. No browser: plain HTTP, so runs are fast and cheap.

### What you get

- **Core fields**: `title`, `company`, `location`, `via` (the job board Google got it from), `employmentType`, `postedText`, `salaryText`, `tags` (benefits and other chips Google shows).
- **Level tag**: `internship`, `entry`, `mid`, `senior` or `unknown`, guessed from the title, job type and description.
- **Parsed salary**: `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod` (hour, day, week, month, year) when the posting shows a salary.
- **Remote flag**: `isRemote` is true when the location, title or tags say remote or work from home.
- **Posted date as ISO 8601**: `postedAt`, calculated from Google's relative text such as "3 days ago".
- **Apply links**: every board Google lists, with a `direct` flag, plus a primary `applyUrl`. These are Google redirect links (`https://www.google.com/goto?url=...`) that forward to the employer or board.
- **Description**: full `description` text, a 300 character `descriptionSnippet`, and `highlights` (qualifications, responsibilities, benefits) when Google shows them.
- **Stable id and share link**: `jobId` (Google's own id) and `shareUrl`.
- **No duplicates**: the same job listed by several boards, or found by several searches, is returned once.
- **Which search found it**: `searchedQuery` and `searchedLocation`.

### How many jobs you get: auto-expand

Google shows only about **10 jobs per search**, and there is no page 2 over plain HTTP. We handle this for you with **auto-expand**: set `maxResults` (default 100) and the actor keeps running close variants of your search until it has that many unique jobs.

- **Nearby locations**: suburbs and neighbor cities. About 300 large US metros are bundled (Chicago also searches Naperville, Evanston, Schaumburg and so on, then the whole state). For Canada, the UK, India, Australia and Germany it adds the country's biggest cities. Elsewhere, only title variants are used.
- **Similar job titles**: synonyms (registered nurse, RN, staff nurse), intern/internship, senior/sr, and a "remote" version.
- **Rings outward**: your exact search first, then the closest variants, then further out.
- **Duplicates removed across all searches** by Google's job id (title + company + location as a backup), so you never pay twice for the same job.
- **Stops early** when it reaches `maxResults`, runs out of variants, or three searches in a row bring fewer than 2 new jobs.
- **Search cap**: at most `maxResults / 5 + 5` searches per run (100 jobs = up to 25 searches), so cost stays predictable. The log shows how many searches ran.
- Every job has `searchedQuery` and `searchedLocation` so you can see which variant found it.

Auto-expand finds *more* jobs, not unlimited jobs. A small town or a rare title may run out of variants before `maxResults`; you only pay for the jobs you get. Set `autoExpand` to `false` to run exactly the queries and locations you entered (about 10 jobs each), and use `expandBy` to allow only `locations` or only `titles`.

### How to use

1. Add one or more search queries (for example `registered nurse`).
2. Add one or more locations (for example `Chicago, IL`). If empty, the Google country is used (default: United States). Google shows no jobs for searches without a place.
3. Set `maxResults` (for example 100). Leave auto-expand on.
4. For remote jobs, put the word `remote` in the query (for example `data analyst remote`).
5. Leave the default proxy (Apify Proxy group GOOGLE_SERP) and run.

### Example input

```json
{ "queries": ["registered nurse"], "locations": ["Chicago, IL"], "maxResults": 100, "autoExpand": true }
```

### Example output (shortened)

```json
{
  "jobId": "t_17Wy_ye5djHz6QAAAAAA==",
  "title": "AI Software Engineer Intern",
  "company": "IBM",
  "location": "New York, NY",
  "isRemote": false,
  "level": "internship",
  "employmentType": "Internship",
  "postedText": "4 days ago",
  "postedAt": "2026-10-14T12:00:00.000Z",
  "salaryMin": 75600,
  "salaryMax": 166320,
  "salaryCurrency": null,
  "salaryPeriod": "year",
  "salaryText": "75,600–166,320 a year",
  "via": "LinkedIn",
  "tags": ["Health insurance"],
  "applyUrl": "https://www.google.com/goto?url=...",
  "applyLinks": [{ "source": "LinkedIn", "direct": false, "url": "https://www.google.com/goto?url=..." }],
  "searchedQuery": "software developer intern",
  "searchedLocation": "Jersey City, NJ",
  "searchQuery": "software engineer intern",
  "searchLocation": "New York, NY"
}
```

### Pricing

Launch pricing (pay per event): **$3.00 per 1,000 jobs** ($0.003 per unique job returned), plus Apify's standard tiny run-start fee. You pay only for jobs saved to the dataset: duplicates, blocked searches and empty searches are not charged. Example: a 100-job run costs about $0.30. Proxy and compute are included in that price.

### Notes

- Google Jobs is not available in every country; those searches return nothing.
- The query filters (date posted, job type) are not exposed: Google ignored them in our tests on this route.
- `salaryCurrency` is only filled when the posting shows a currency symbol or code.
- Relative dates like "3 days ago" are converted to an approximate timestamp.
- Salary, description and highlights are only present when the posting publishes them.
- Only publicly visible job posting data is collected.

# Actor input Schema

## `queries` (type: `array`):

Job titles or keywords, one per line, for example: registered nurse. With auto-expand on, we also try close variants of each title (synonyms, intern/internship, senior/sr, remote).

## `locations` (type: `array`):

Cities, states or countries, one per line, for example: Chicago, IL. With auto-expand on, nearby cities and suburbs are searched too. If empty, the Google country is used (for example United States). Google shows no jobs for searches without a place; for remote jobs add the word remote to the query.

## `maxResults` (type: `integer`):

Total number of unique jobs to return in this run (the run stops as soon as it has them, and you are only charged for jobs returned). Google gives about 10 jobs per search, so auto-expand runs about 1 search per 5 jobs wanted.

## `autoExpand` (type: `boolean`):

Google shows only about 10 jobs per search. When on, we keep searching close variants (nearby cities, similar job titles) until you have Max results unique jobs, the variants run out, or new searches only return jobs you already have. Turn off to run only the exact queries and locations you entered.

## `expandBy` (type: `array`):

What auto-expand may change. 'locations' adds nearby cities and suburbs (US metros bundled; top cities for CA, GB, IN, AU, DE). 'titles' adds similar job titles (synonyms, intern/internship, senior/sr, remote). Ignored when auto-expand is off.

## `countryCode` (type: `string`):

Two-letter country code that sets the Google region, for example us, ca, gb, in, au, de. Also picks the city lists used by auto-expand. Google Jobs is not available in every country.

## `languageCode` (type: `string`):

Interface language code (hl), for example en, de, fr.

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

Uses the Apify Proxy group GOOGLE_SERP by default, which returns Google result pages over plain HTTP.

## `saveDebugSamples` (type: `boolean`):

Diagnostics: store the first raw responses that had no jobs in the key-value store.

## Actor input object example

```json
{
  "queries": [
    "registered nurse"
  ],
  "locations": [
    "Chicago, IL"
  ],
  "maxResults": 20,
  "autoExpand": true,
  "expandBy": [
    "locations",
    "titles"
  ],
  "countryCode": "us",
  "languageCode": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  },
  "saveDebugSamples": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "queries": [
        "registered nurse"
    ],
    "locations": [
        "Chicago, IL"
    ],
    "maxResults": 20,
    "expandBy": [
        "locations",
        "titles"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "GOOGLE_SERP"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("nightshift-data/google-jobs-scraper-clean").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 = {
    "queries": ["registered nurse"],
    "locations": ["Chicago, IL"],
    "maxResults": 20,
    "expandBy": [
        "locations",
        "titles",
    ],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["GOOGLE_SERP"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("nightshift-data/google-jobs-scraper-clean").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 '{
  "queries": [
    "registered nurse"
  ],
  "locations": [
    "Chicago, IL"
  ],
  "maxResults": 20,
  "expandBy": [
    "locations",
    "titles"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "GOOGLE_SERP"
    ]
  }
}' |
apify call nightshift-data/google-jobs-scraper-clean --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nightshift-data/google-jobs-scraper-clean"
        }
    }
}
```

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/orFLoH8bw7Xhtc5Zd/builds/otrIjt1VqmAlW6yRo/openapi.json