Walgreens Scraper
Extract prescription pricing, health product listings, clinic services, and store inventory data from Walgreens.
- target
- walgreens.com
- success rate
- 99.9%
- latency
- ~4ms
/fetch/walgreens.com/ curl -X POST https://api.spider.cloud/fetch/walgreens.com/ \ -H "Authorization: Bearer $SPIDER_API_KEY" \ -H "Content-Type: application/json" \ -d '{}'
{
"url": "https://walgreens.com/",
"status": 200,
"data": {
"product_name": "string",
"price": "string",
"sale_price": "string",
"category": "string",
"brand": "string",
"size": "string",
"rating": "string"
}
} # Walgreens Scraper
**Product name**: string
**Price**: string
**Sale price**: string
**Category**: string
**Brand**: string
**Size**: string
**Rating**: string Extract data in minutes.
Structured JSON from walgreens.com with a single POST. Call it with no selectors and the model names the fields, or pass your own CSS to skip the AI.
import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
stealth: 2,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.walgreens.com/search/results.jsp?Ntt=pain+relief");
// No selectors, no schema. Spider reads the page and names the fields.
const data = await page.scrape();
console.log(data);
await spider.close(); import { SpiderBrowser } from "spider-browser";
const spider = new SpiderBrowser({
apiKey: process.env.SPIDER_API_KEY!,
});
await spider.connect();
const page = spider.page!;
await page.goto("https://www.walgreens.com/search/results.jsp?Ntt=pain+relief");
await page.content(8000);
const data = await page.evaluate(`(() => {
const products = [];
document.querySelectorAll("article, a[href*='/pr/'], [data-testid*='product']").forEach(el => {
const name = el.querySelector("h3, [class*='name'], a[href*='/pr/'] span")?.textContent?.trim();
const price = Array.from(el.querySelectorAll("span")).find(s => /$[d,.]+/.test(s.textContent ?? ""))?.textContent?.trim();
const rating = el.querySelector("[class*='rating']")?.textContent?.trim();
if (name) products.push({ name, price, rating });
});
return JSON.stringify({ total: products.length, products: products.slice(0, 15) });
})()`);
console.log(JSON.parse(data));
await spider.close(); curl -X POST https://api.spider.cloud/fetch/walgreens.com/ \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{}' import requests
resp = requests.post(
"https://api.spider.cloud/fetch/walgreens.com/",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={},
)
print(resp.json()) const resp = await fetch("https://api.spider.cloud/fetch/walgreens.com/", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({}),
});
const data = await resp.json();
console.log(data); Fields you can pull.
Medical data extraction
Extract drug info, conditions, and health articles from walgreens.com.
Structured health data
Clean extraction of dosage, interactions, and clinical information.
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Start scraping walgreens.com.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.