{`curl -X POST \\
"https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l7q7dkf244hwjntr0&format=json" \\
-H "Authorization: Bearer YOUR_API_KEY" \\
-H "Content-Type: application/json" \\
-d '[{"url": "https://www.amazon.com/dp/B0FQFB8FMG"}]'`}
{`from brightdata import SyncBrightDataClient
with SyncBrightDataClient(token="YOUR_API_KEY") as client:
result = client.scrape.amazon.products(
url="https://www.amazon.com/dp/B0FQFB8FMG"
)
print(result.data)`}
{`import { bdclient } from '@brightdata/sdk';
const client = new bdclient({ apiKey: 'YOUR_API_KEY' });
const result = await client.scrape.amazon.collectProducts([
'https://www.amazon.com/dp/B0FQFB8FMG'
]);
console.log(result);
await client.close();`}
;
Send one request to the Bright Data Scraper API and get structured JSON back.
This guide scrapes an Amazon product page. The same call works for every one of Bright Data's thousands of pre-built scrapers: change the `dataset_id` over HTTP, or call a different method in the SDK.
## Prerequisites
* A [Bright Data account](https://brightdata.com/products/web-scraper?hs_signup=1\&utm_source=docs). New accounts get **5,000 free credits every month**, no credit card required
* One of:
* cURL
* Python 3.9+ with the Bright Data Python SDK: `pip install brightdata-sdk`
* Node.js 20+ with the Bright Data JavaScript SDK: `npm install @brightdata/sdk`
## Scrape your first page