/serp/ - SERP Analysis

if youre tracking competitors in 2026 w/ serp analysis tools like Ahrefs but find it overwhelming to sift thru data manually. heres a quick snippet that can save your day!
''Problem: You have thousands of URLs and need insights on their ranking trends, backlinks etc. Solution:
python
import pandas as pd
from ahrefsapi import Client # Assuming youre using Ahrefs API client
# Initialize the connection to aHREFS
client = Client('yourapikey')
urlstotrack=['competitor1. com', ' competitor2. net']
def getserpdata(urls):
data_list= []
for url in urls:
try:
response = client. getSERP(url)
# Extract key metrics
rank=response['rank']
backlinkscount=len(response. backlinkprofile()['backlinks'])
serp_dict={
'url': url,
'current_rank ': str(rank),totalbacklinks:str(backlinkscount)
}
datalist. append(serpdict)
except Exception as e:
print(f"Error fetching {e} for URL: '{u}'")
return pd. DataFrame(data=data_list)
df = getserpdata(urls''totrack)