> For the complete documentation index, see [llms.txt](https://docs.scraperapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scraperapi.com/getting-started/tutorials/no-code-tutorials/google-shopping-no-code.md).

# Google Shopping

DataPipeline is ScraperAPI's no-code dashboard for scheduled scraping. In this tutorial, you will use DataPipeline to monitor Google Shopping prices for any query list. By the end, you will have shopping results with price, retailer, and delivery options for every query you track, refreshed on your schedule, so you can spot pricing shifts and new entrants before they affect your positioning.

***

## Step 1: Create the project

Click [**DataPipeline**](https://dashboard.scraperapi.com/projects) in the left sidebar.

1. Select **New project**.
2. Select the **Google shopping** tile.

## Step 2: Configure input settings

Under **Input settings**, choose **List** and enter your search queries, one per line:

```
running shoes
running shoes men
running shoes women
trail running shoes
```

For larger query lists, switch to **Upload file** and upload a CSV with one query per row.

## Step 3: Configure output settings

Under **Output settings**, choose **Download**. Results will be available in the dashboard when the job completes. For automated pipelines, enter a **Webhook URL** instead so results are posted to your server as they arrive.

JSON gives you the full structured response including delivery options and badges. CSV flattens each result to a row — `position`, `title`, `price`, `source`, and `extracted_price` become columns.

## Step 4: Set scraping frequency

Under **Scraping frequency**, select **Just scrape once**. To monitor prices on a recurring basis, switch this to **Daily**, **Weekly**, or another interval. Recurring schedules require a paid plan.

## Step 5: Review and start

Click **Review & start scraping**. The Job summary panel shows the estimated credit cost before you confirm.

## Step 6: Review results

Click into the project after the run completes and click **Download results**. Results are retained for 30 days.

Each query produces a set of rows with `position`, `title`, `price`, `extracted_price`, and `source`. Compare `extracted_price` across runs to spot price movements by retailer.

***

## Additional options

Under **Additional options & filters** you can fine-tune your requests:

* **Country code**: targets a specific country's Google Shopping results.
* **Domain**: sets the Google domain to search (e.g. `co.uk`, `com.au`).
* **UULE**: encodes a specific city for local search results.
* **Number of results**: sets how many shopping results to return per page.

{% hint style="info" %}
Some parameters increase the cost per request. Check the Cost per Job panel before committing to a configuration at scale.
{% endhint %}

***

{% hint style="info" %}
Prefer to set this up in your own codebase? [Try the API playground instead](/getting-started/tutorials/api-tutorials/google-shopping-api.md).
{% endhint %}

## More tutorials

* [Scrape any URL](/getting-started/tutorials/no-code-tutorials/any-url-no-code.md)
* [Track prices across Amazon and Walmart](/getting-started/tutorials/no-code-tutorials/track-prices-no-code.md)
* [Monitor unauthorized sellers and MAP violations](/getting-started/tutorials/no-code-tutorials/monitor-sellers-no-code.md)
* [Track daily keyword rankings](/getting-started/tutorials/no-code-tutorials/keyword-rankings-no-code.md)


---

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