> 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/track-prices-no-code.md).

# Track Prices

DataPipeline is ScraperAPI's no-code dashboard for scheduled scraping. In this tutorial, you will use DataPipeline to monitor prices across Amazon and Walmart on a recurring schedule. By the end, you will have structured JSON with pricing, availability, and offers for every product you monitor, refreshed on your schedule, so you can spot price changes and stock issues before they hit your margins.

***

## Step 1: Create the Amazon project

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

1. Select **New project**.
2. Select **Amazon product pages**.

## Step 2: Configure input settings

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

```
B0BFC7WQ6R
B09B8V1LZ3
```

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

## Step 3: Configure output settings

Under **Output settings**, choose **Download**. Results will be available in the dashboard when the job completes. For larger setups, you can enter a **Webhook URL** to have results posted to your server automatically.

## 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: Create the Walmart project

Repeat the same steps for Walmart:

1. Click **New project** and select **Walmart product**.
2. Under **Input settings**, choose **List** and enter your Walmart product IDs, one per line:

   ```
   946796118
   741412707
   ```
3. Under **Output settings**, choose **Download**.
4. Under **Scraping frequency**, select **Just scrape once**.
5. Click **Review & start scraping**.

## Step 7: Review results

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

Compare against your price thresholds to flag changes.

***

## Additional options

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

* **Country code**: targets a specific country's Amazon or Walmart results.
* **Domain**: sets the Amazon domain to search (e.g. `co.uk`, `com.au`).
* **Activate retrying 404 responses**: retries requests that return a 404 instead of treating them as final.

{% 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/track-prices-api.md).
{% endhint %}

## More tutorials

* [Scrape any URL](/getting-started/tutorials/no-code-tutorials/any-url-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)
* [Monitor Google Shopping prices](/getting-started/tutorials/no-code-tutorials/google-shopping-no-code.md)


---

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