# Google Maps Places Scraper: weekly monitor, only new rows

**Use case:** 

A weekly watch on the example input (searchStringsArray ["restaurant"], locationQuery "New York, USA"). The first run delivers every row; each later run delivers and charges only the rows this memory has not delivered before (onlyNew); a skipped row is free. Name the memory with stateStoreName to share it between tasks.

## Input

```json
{
  "searchStringsArray": [
    "restaurant"
  ],
  "locationQuery": "New York, USA",
  "locationQueries": [],
  "maxCrawledPlacesPerSearch": 50,
  "language": "en",
  "countryCode": "",
  "state": "",
  "county": "",
  "city": "",
  "postalCode": "",
  "customGeolocation": {},
  "startUrls": [],
  "placeIds": [],
  "categoryFilterWords": [],
  "placeMinimumStars": "",
  "placeMaximumStars": "",
  "minimumReviews": 0,
  "website": "allPlaces",
  "skipClosedPlaces": false,
  "excludePlaceIds": [],
  "onlyNew": true,
  "stateStoreName": "",
  "maxItems": 0
}
```

## Output

```json
{
  "record_type": {
    "label": "Record type",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "input": {
    "label": "Input",
    "format": "string"
  },
  "search_string": {
    "label": "Search string",
    "format": "string"
  },
  "search_area": {
    "label": "Search area",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "category_name": {
    "label": "Category name",
    "format": "string"
  },
  "categories": {
    "label": "Categories",
    "format": "array"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "street": {
    "label": "Street",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "postal_code": {
    "label": "Postal code",
    "format": "string"
  },
  "state": {
    "label": "State",
    "format": "string"
  },
  "country_code": {
    "label": "Country code",
    "format": "string"
  },
  "neighborhood": {
    "label": "Neighborhood",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "object"
  },
  "located_in": {
    "label": "Located in",
    "format": "object"
  },
  "floor": {
    "label": "Floor",
    "format": "string"
  },
  "plus_code": {
    "label": "Plus code",
    "format": "string"
  },
  "plus_code_compound": {
    "label": "Plus code compound",
    "format": "string"
  },
  "phone": {
    "label": "Phone",
    "format": "string"
  },
  "phone_unformatted": {
    "label": "Phone unformatted",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "website_domain": {
    "label": "Website domain",
    "format": "string"
  },
  "total_score": {
    "label": "Total score",
    "format": "number"
  },
  "reviews_count": {
    "label": "Reviews count",
    "format": "integer"
  },
  "reviews_distribution": {
    "label": "Reviews distribution",
    "format": "object"
  },
  "reviews_url": {
    "label": "Reviews url",
    "format": "string"
  },
  "opening_hours": {
    "label": "Opening hours",
    "format": "array"
  },
  "additional_opening_hours": {
    "label": "Additional opening hours",
    "format": "array"
  },
  "open_now": {
    "label": "Open now",
    "format": "boolean"
  },
  "timezone": {
    "label": "Timezone",
    "format": "string"
  },
  "permanently_closed": {
    "label": "Permanently closed",
    "format": "boolean"
  },
  "temporarily_closed": {
    "label": "Temporarily closed",
    "format": "boolean"
  },
  "place_id": {
    "label": "Place id",
    "format": "string"
  },
  "fid": {
    "label": "Fid",
    "format": "string"
  },
  "cid": {
    "label": "Cid",
    "format": "string"
  },
  "kgmid": {
    "label": "Kgmid",
    "format": "string"
  },
  "business_profile_id": {
    "label": "Business profile id",
    "format": "string"
  },
  "url": {
    "label": "URL",
    "format": "string"
  },
  "search_page_url": {
    "label": "Search page url",
    "format": "string"
  },
  "image_url": {
    "label": "Image url",
    "format": "string"
  },
  "images_count": {
    "label": "Images count",
    "format": "integer"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "owner_description": {
    "label": "Owner description",
    "format": "string"
  },
  "additional_info": {
    "label": "Additional info",
    "format": "object"
  },
  "reserve_table_urls": {
    "label": "Reserve table urls",
    "format": "array"
  },
  "order_urls": {
    "label": "Order urls",
    "format": "array"
  },
  "claimed": {
    "label": "Claimed",
    "format": "boolean"
  },
  "owner_name": {
    "label": "Owner name",
    "format": "string"
  },
  "owner_id": {
    "label": "Owner id",
    "format": "string"
  },
  "is_advertisement": {
    "label": "Is advertisement",
    "format": "boolean"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "verdict": {
    "label": "Verdict",
    "format": "string"
  },
  "rows_delivered": {
    "label": "Rows delivered",
    "format": "integer"
  },
  "tiles_read": {
    "label": "Tiles read",
    "format": "integer"
  },
  "outside_area": {
    "label": "Outside area",
    "format": "integer"
  },
  "filtered_out": {
    "label": "Filtered out",
    "format": "integer"
  },
  "note": {
    "label": "Note",
    "format": "string"
  },
  "scraped_at": {
    "label": "Scraped at",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Maps Places Scraper: Google Places API, Phones, Hours Actor is ready to run with the inputs already set for "Google Maps Places Scraper: weekly monitor, only new rows". [Sign up or log in](https://console.apify.com/create-task-from-example/3g91ToXz6PVlOwkbc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google Maps Places Scraper: weekly monitor, only new rows" task

The Google Maps Places Scraper: Google Places API, Phones, Hours Actor will start running based on the input automatically. You can also change all the input fields, like search terms, location, and more, to match your specific use case.

### 3. Receive the "Google Maps Places Scraper: weekly monitor, only new rows" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as record type, status, input, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Google Maps Places Scraper: weekly monitor, only new rows" task via API](https://apify.com/hyperbach/google-maps-scraper.md).

## About this Actor

This example demonstrates how to use [Google Maps Places Scraper: Google Places API, Phones, Hours](https://apify.com/hyperbach/google-maps-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hyperbach/google-maps-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/hyperbach/google-maps-scraper.md

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`).