Scrape Google Maps, Twitter, and LinkedIn with a Single API Call

Web scraping is a developer's Swiss Army knife—but managing multiple scraping libraries, handling rate limits, and parsing different HTML structures across platforms is a nightmare. You need Google Maps business data, Twitter threads, and LinkedIn profiles. Each requires different selectors, headers, and anti-bot strategies. What if you could handle all three with a single API call?

The Problem: Multi-Platform Scraping Complexity

Traditional scraping setups require:

• Multiple libraries: Selenium for JavaScript-heavy sites, BeautifulSoup for static HTML, Playwright for LinkedIn
• Proxy management: Rotating proxies to avoid IP bans
• Maintenance overhead: Sites change their DOM; your selectors break weekly
• Infrastructure costs: Running browser automation servers isn't cheap
• Rate limiting: Manual backoff strategies and retry logic

AiPayGent's unified scraping endpoint abstracts this complexity. One API, multiple sources, built-in anti-detection, and Claude AI powering intelligent data extraction.

Getting Started: Free Tier & Credits

You get 10 free API calls per day without authentication. For production use, grab an API key at https://api.aipaygent.xyz and prepay USDC on Base using the /buy-credits endpoint, or use your prepaid API key for pay-per-use billing.

Scraping Google Maps with AiPayGent

Let's extract restaurant data from a Google Maps search result:

curl -X POST https://api.aipaygent.xyz/scrape \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.google.com/maps/search/coffee+shops+near+san+francisco",
    "platform": "google_maps",
    "extract": {
      "fields": ["name", "rating", "reviews_count", "address", "phone", "website"]
    }
  }'

Python example:

import requests
import json

api_url = "https://api.aipaygent.xyz/scrape"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"  # Optional; first 10 calls/day free
}

payload = {
    "url": "https://www.google.com/maps/search/coffee+shops+near+san+francisco",
    "platform": "google_maps",
    "extract": {
        "fields": ["name", "rating", "reviews_count", "address", "phone", "website"]
    }
}

response = requests.post(api_url, json=payload, headers=headers)
results = response.json()

for business in results.get("results", []):
    print(f"{business['name']} - {business['rating']}⭐ ({business['reviews_count']} reviews)")
    print(f"  {business['address']}")
    print()

Example response:

{
  "status": "success",
  "platform": "google_maps",
  "results": [
    {
      "name": "Ritual Coffee Roasters",
      "rating": 4.7,
      "reviews_count": 2341,
      "address": "1026 Valencia St, San Francisco, CA 94110",
      "phone": "(415) 641-1011",
      "website": "www.ritualcoffee.com"
    },
    {
      "name": "Blue Bottle Coffee",
      "rating": 4.5,
      "reviews_count": 5892,
      "address": "66 Mint St, San Francisco, CA 94103",
      "phone": "(510) 653-3394",
      "website": "www.bluebottlecoffee.com"
    }
  ],
  "credits_used": 1
}

Scraping Twitter (X) Threads

Extract structured data from a Twitter thread:

curl -X POST https://api.aipaygent.xyz/scrape \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "url": "https://twitter.com/username/status/1234567890",
    "platform": "twitter",
    "extract": {
      "fields": ["author", "text", "likes", "retweets", "replies", "timestamp", "thread"]
    }
  }'

Python:

payload = {
    "url": "https://twitter.com/username/status/1234567890",
    "platform": "twitter",
    "extract": {
        "fields": ["author", "text", "likes", "retweets", "replies", "timestamp", "thread"]
    }
}

response = requests.post(api_url, json=payload, headers=headers)
tweet_data = response.json()

print(f"Tweet by @{tweet_data['author']} on {tweet_data['timestamp']}")
print(f"{tweet_data['text']}")
print(f"❤️ {tweet_data['likes']} | 🔄 {tweet_data['retweets']} | 💬 {tweet_data['replies']}")

Scraping LinkedIn Profiles

Extract professional information:

curl -X POST https://api.aipaygent.xyz/scrape \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "url": "https://www.linkedin.com/in/username",
    "platform": "linkedin",
    "extract": {
      "fields": ["name", "headline", "bio", "location", "experience", "education", "skills"]
    }
  }'

Response structure:

{
  "status": "success",
  "platform": "linkedin",
  "profile": {
    "name": "Jane Developer",
    "headline": "Full-Stack Engineer at TechCorp",
    "bio": "Building scalable systems...",
    "location": "San Francisco, CA",
    "experience": [
      {
        "title": "Senior Engineer",
        "company": "TechCorp",
        "duration": "2020 - Present"
      }
    ],
    "education": [...],
    "skills": ["Python", "React", "AWS", ...]
  },
  "credits_used": 2
}

Scaling & Cost Management

After your 10 free daily calls, purchase credits via /buy-credits. Costs vary by platform (Google Maps typically costs 1 credit, LinkedIn 2, Twitter 1). Monitor usage via the response's credits_used field.

Next Steps

Explore 140+ endpoints in the API Discover portal and review the full OpenAPI specification for advanced options like JavaScript rendering, proxy rotation, and custom extraction schemas.

• Explore all endpoints: https
  Try it free → First 10 calls/day free, no credit card. Browse all 165 tools and 140+ endpoints or buy credits ($5+).

  Published: 2026-03-02 · RSS feed