Imaging-resource Scraper
Extract photos, camera data, and visual content from Imaging-resource. Built on spider-browser .
- target
- imaging-resource.com
- success rate
- 99.9%
- latency
- ~4ms
Extract data in minutes.
import { Spider } from "@spider-cloud/spider-client";
const spider = new Spider({ apiKey: process.env.SPIDER_API_KEY! });
const result = await spider.scrapeUrl("https://www.imaging-resource.com", {
return_format: "markdown",
});
console.log(result);One endpoint for imaging-resource.com.
Structured JSON from imaging-resource.com with a single POST. AI-resolved selectors, cached on the first call.
curl -X POST https://api.spider.cloud/fetch/imaging-resource.com/ \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"return_format": "json"}'import requests
resp = requests.post(
"https://api.spider.cloud/fetch/imaging-resource.com/",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={"return_format": "json"},
)
print(resp.json())const resp = await fetch("https://api.spider.cloud/fetch/imaging-resource.com/", {
method: "POST",
headers: {
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);Fields you can pull.
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Start scraping imaging-resource.com.
Grab an API key and call the endpoint above. The first request resolves the config; every request after hits cache.