Scrape Google Review Businesses at Scale

The Problem

Investigative journalism, regulatory research, and accountability reporting routinely depend on Google Reviews as primary source material. Scraping them at scale today means fighting Google's anti-bot stack while also normalizing timestamps, rating changes, and review-author metadata.

The Scavio Solution

Scavio's google-reviews platform returns clean JSON per business: each review with rating, text, date, author, and photo URLs. Paginate via the standard next_page token. Batch thousands of businesses and feed results directly into your investigation database without parsing HTML.

Who It Is For

Investigative journalists, regulatory researchers, and accountability reporters.

Key Benefits

• Structured review JSON with rating, text, date, author
• Pagination token for businesses with thousands of reviews
• Historical rating-change deltas on request
• Designed for investigative workloads (rate-limit friendly)
• No CAPTCHA or IP-ban handling on your side

Python Example

import os, requests
SCAVIO = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': SCAVIO}

def reviews(business):
    r = requests.post('https://api.scavio.dev/api/v1/search',
        headers=H, json={'platform': 'google-reviews', 'query': business}).json()
    return r.get('reviews', [])

for rv in reviews('Acme Clinic Chicago')[:10]:
    print(rv['date'], rv['rating'], rv['text'][:80])

JavaScript Example

const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'content-type': 'application/json' };

async function reviews(business) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {
    method: 'POST', headers: H,
    body: JSON.stringify({ platform: 'google-reviews', query: business })
  }).then(r => r.json());
  return r.reviews || [];
}

for (const rv of (await reviews('Acme Clinic Chicago')).slice(0, 10)) {
  console.log(rv.date, rv.rating, rv.text.slice(0, 80));
}

Platforms Used