技能 数据科学 Bright Data数据采集与爬虫API

Bright Data数据采集与爬虫API

v20260423
brightdata-core-workflow-b
利用Bright Data的SERP API和Web Scraper API,实现结构化搜索结果和大规模数据的批量采集。支持同步获取主流搜索引擎的JSON数据,并可触发异步爬取任务,适用于市场调研、SEO分析等数据爬取场景。
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Bright Data SERP API & Web Scraper API

Overview

Collect search engine results and trigger large-scale data collections using Bright Data's SERP API and Web Scraper API. SERP API returns structured JSON from Google, Bing, Yahoo, and other search engines. Web Scraper API triggers asynchronous collections with webhook delivery.

Prerequisites

  • Completed brightdata-install-auth setup
  • SERP API zone or Web Scraper API dataset configured
  • API token from Settings > API tokens

Instructions

Step 1: SERP API — Synchronous Google Search

// serp-api.ts
import 'dotenv/config';

const { BRIGHTDATA_CUSTOMER_ID, BRIGHTDATA_ZONE, BRIGHTDATA_ZONE_PASSWORD } = process.env;

async function searchGoogle(query: string, country = 'us') {
  // SERP API uses the proxy protocol with JSON response
  const username = `brd-customer-${BRIGHTDATA_CUSTOMER_ID}-zone-${BRIGHTDATA_ZONE}-country-${country}`;

  const response = await fetch(
    `https://www.google.com/search?q=${encodeURIComponent(query)}&brd_json=1`,
    {
      headers: {
        'Proxy-Authorization': `Basic ${Buffer.from(`${username}:${BRIGHTDATA_ZONE_PASSWORD}`).toString('base64')}`,
      },
    }
  );

  const results = await response.json();
  console.log(`Query: "${query}"`);
  console.log(`Results: ${results.organic?.length || 0} organic`);

  for (const r of results.organic?.slice(0, 5) || []) {
    console.log(`  ${r.rank}. ${r.title} — ${r.link}`);
  }
  return results;
}

searchGoogle('bright data web scraping').catch(console.error);

Step 2: SERP API — Structured JSON Response

The SERP API returns structured data when you append &brd_json=1:

interface SERPResponse {
  organic: Array<{
    rank: number;
    title: string;
    link: string;
    description: string;
    displayed_link: string;
  }>;
  paid?: Array<{ title: string; link: string; description: string }>;
  knowledge_graph?: { title: string; description: string };
  related_searches?: string[];
  total_results?: number;
}

Step 3: Web Scraper API — Async Collection with Webhook

// web-scraper-api.ts — trigger large-scale collections
import 'dotenv/config';

const API_TOKEN = process.env.BRIGHTDATA_API_TOKEN!;

async function triggerCollection(
  datasetId: string,
  urls: string[],
  webhookUrl?: string
) {
  const params = new URLSearchParams({
    dataset_id: datasetId,
    format: 'json',
    uncompressed_webhook: 'true',
  });
  if (webhookUrl) params.set('endpoint', webhookUrl);

  const response = await fetch(
    `https://api.brightdata.com/datasets/v3/trigger?${params}`,
    {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${API_TOKEN}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(urls.map(url => ({ url }))),
    }
  );

  const result = await response.json();
  console.log('Collection triggered:', result.snapshot_id);
  return result;
}

// Check collection status
async function getCollectionStatus(snapshotId: string) {
  const response = await fetch(
    `https://api.brightdata.com/datasets/v3/snapshot/${snapshotId}?format=json`,
    { headers: { 'Authorization': `Bearer ${API_TOKEN}` } },
  );

  if (response.status === 200) {
    const data = await response.json();
    console.log('Collection complete:', data.length, 'records');
    return data;
  } else if (response.status === 202) {
    console.log('Collection still running...');
    return null;
  }
}

Step 4: Python SERP API

# serp_api.py
import os, requests
from dotenv import load_dotenv

load_dotenv()
API_TOKEN = os.environ['BRIGHTDATA_API_TOKEN']

def search_google(query: str, country: str = 'us'):
    """Trigger a SERP API collection via REST."""
    resp = requests.post(
        'https://api.brightdata.com/datasets/v3/trigger',
        params={'dataset_id': 'gd_lwdb4vjm1ehb499uxs', 'format': 'json'},
        headers={'Authorization': f'Bearer {API_TOKEN}', 'Content-Type': 'application/json'},
        json=[{'keyword': query, 'country': country, 'engine': 'google'}],
    )
    print(f"Snapshot ID: {resp.json().get('snapshot_id')}")
    return resp.json()

Output

  • Structured SERP results in JSON with organic, paid, and knowledge graph data
  • Async collection snapshot IDs for large-scale scraping
  • Webhook delivery of completed datasets

Error Handling

Error Cause Solution
401 Unauthorized Invalid API token Regenerate at Settings > API tokens
400 Bad Request Invalid dataset_id Check dataset ID in control panel
202 Accepted polling Collection in progress Poll every 10s until 200
Rate limited Too many triggers Max 20 triggers/min per dataset

Resources

Next Steps

For common errors, see brightdata-common-errors.

信息
Category 数据科学
Name brightdata-core-workflow-b
版本 v20260423
大小 5.5KB
更新时间 2026-04-28
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