Scrape data in seconds

No proxies needed

Start Free
Back to Blog
APIs

SERP Scraping: Extract Search Engine Results at Scale

PullData Team
April 10, 2026
6 min read
SERPSEOSearch
Share

What is SERP Scraping?

SERP scraping means programmatically extracting data from search engine results pages. This includes organic results, ads, featured snippets, local packs, and more.

Did you know?

PullData's SERP Scraper handles pagination, location targeting, and device emulation automatically.

serp_scraper.py
python
# Example: Using PullData API for SERP scraping
import requests

response = requests.post(
    "https://api.pulldata.io/v1/serp",
    json={
        "keyword": "best CRM software 2026",
        "location": "United States",
        "device": "desktop",
        "num_results": 100
    },
    headers={"Authorization": "Bearer YOUR_API_KEY"}
)

results = response.json()
for result in results["organic"]:
    print(f"{result['position']}. {result['title']} - {result['url']}")

Try this with PullData

Launch no-code scrapers and get structured data in minutes.

Start Scraping Free

Monitor Your Rankings

Track keyword positions across search engines with automated SERP scraping.

Try SERP Scraper
P

Written by

PullData Team

The PullData team builds no-code web scraping tools for modern teams. We write about data extraction, APIs, and automation.

Newsletter

Stay ahead with data insights

Get the latest web scraping guides, API tutorials, and automation tips delivered to your inbox.

Start extracting data in minutes

No code, no proxies, no engineering overhead. Just clean, structured public web data.