AI
"Competitor analytics bot" makes it sound like one clever piece of AI. In practice it's a fairly ordinary data pipeline — check some pages on a schedule, store what changed — with a single, genuinely useful AI step bolted onto the end: turning that raw data into something a busy person will actually read. Most of the effort, and most of the risk, is in the collection step, not the AI step.
Building it responsibly
1. Read the site's robots.txt before writing a single request. It tells you which paths the site owner has asked automated tools not to crawl — respecting it is standard practice even where it isn't strictly enforceable law.
2. Identify yourself and rate-limit. A descriptive User-Agent string and a delay between requests are the difference between a bot that gets tolerated and one that gets blocked within a day.
3. Let the model summarize, not scrape. Once you have today's and yesterday's prices stored, hand the diff — not the raw HTML — to an LLM and ask for a short summary of what actually changed.
# Polite, identified, rate-limited competitor page check
import time
import requests
HEADERS = {"User-Agent": "YourStoreName-PriceBot/1.0 (contact: you@yourstore.com)"}
def fetch_page(url):
response = requests.get(url, headers=HEADERS, timeout=10)
time.sleep(2) # basic rate limiting between requests
return response.text
# Parse today's price out of response.text, store it, then diff against
# yesterday's stored price before handing the day's changes to a model
# to summarize in plain English.| Approach | Setup effort | Ongoing maintenance |
|---|---|---|
| DIY scraper | Higher — you build product matching, retries, storage | Higher — breaks whenever a competitor's page layout changes |
| Managed tool (e.g. Prisync, Price2Spy) | Lower — upload a product catalog, match listings | Lower — the vendor maintains the scraping layer |
Whichever route you pick, the legal and etiquette groundwork — robots.txt, rate limits, a real User-Agent — matters more than the AI layer on top. The summarization step is genuinely useful, but it's the smallest and least risky part of the whole system.
Practical Challenge
Look up /robots.txt on a site you'd want to monitor (for example, yoursite.com/robots.txt) and identify whether the product pages you actually care about are disallowed for crawlers.
Concept Check
Sources & Further Reading
- RFC 9309 — Robots Exclusion Protocol — the IETF standard formalizing what robots.txt can specify.
- Prisync — an example of a managed competitor price-tracking service referenced above.