Behance Scraper

Extract creative projects, designer portfolios, appreciation counts, and tool tags from Behance showcase. Built on spider-browser .

Get started Docs

target
behance.net: success rate
99.9%: latency
~4ms

Quick start

Extract data in minutes.

behance-scraper.ts

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.behance.net/search/projects?field=ui%2Fux");
await page.content();

const data = await page.extractFields({
  title: "a[href*='/gallery/'] h3, a[href*='/gallery/'] [class*='title']",
  creator: "a[href*='/'] [class*='owner'], a[href*='/gallery/'] + * a",
  appreciations: "[class*='stats'] span, [aria-label*='appreciation']",
  image: { selector: "a[href*='/gallery/'] img, figure img", attribute: "src" },
});

console.log(data);
await spider.close();

ready to run · spider-browser · TypeScript

Fetch API

One endpoint for behance.net.

Structured JSON from behance.net with a single POST. AI-resolved selectors, cached on the first call.

POST /fetch/behance.net/

Project titleCreatorAppreciationsViewsTools usedTags

Try it Fetch docs

cURL

curl -X POST https://api.spider.cloud/fetch/behance.net/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'

Python

import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/behance.net/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())

Node.js

const resp = await fetch("https://api.spider.cloud/fetch/behance.net/", {
  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);

Extraction