Building an SEO Monitoring Dashboard with TalorData

SEO monitoring usually means logging into multiple tools, running manual searches, and pasting data into spreadsheets. Here's how to automate it with TalorData.

The Setup
We'll build a simple script that:

1. Queries Google for target keywords
2. Extracts ranking positions
3. Logs results to a CSV

import csv
import time
from datetime import datetime
from talordata import TalorClient

client = TalorClient(api_key="your-api-key")

keywords = ["SERP API", "AI search tool", "web scraping API"]

with open("rankings.csv", "w", newline="") as f:
    writer = csv.writer(f)
    writer.writerow(["keyword", "position", "title", "link", "timestamp"])

    for kw in keywords:
        results = client.search(q=kw, engine="google")
        for idx, result in enumerate(results.organic[:5], 1):
            writer.writerow([kw, idx, result.title, result.link, datetime.now()])
        time.sleep(1)  # Be respectful with rate limits

What You Can Track

1. Keyword rankings – where you appear for target terms
2. SERP features – snippets, knowledge panels, related questions
3. Competitor presence – who's showing up for your keywords
4. Trend over time – daily/weekly ranking changes

Scale It Up
This script can be scheduled via cron or GitHub Actions to run daily. Add alerting (e.g., Slack notifications) when rankings drop below a threshold