DEV Community

lulzasaur
lulzasaur

Posted on

How Much Does a Plumber Cost? Build a Home Services Price Estimator

#tutorial

How Much Does a Plumber Cost? Build a Home Services Price Estimator

"How much should I pay for X?" is one of the most searched questions for home services. If you're building a home improvement app, real estate tool, or local services directory, adding real pricing data makes your product instantly more useful.

Here's how to build a home services cost estimator using the Thumbtack Pro Directory API.

The Idea

Instead of showing "Contact for pricing" (which nobody likes), show actual market rates: "Plumbers in Austin, TX typically charge $85-$150/hour."

One API call gets you this data.

Step 1: Query the API 

import requests

RAPIDAPI_KEY = "your-key-here"
HOST = "thumbtack-pro-directory.p.rapidapi.com"

def get_service_cost(service, location="Austin, TX", limit=10):
    url = f"https://{HOST}/thumbtack/search"
    params = {"query": service, "location": location, "limit": limit}
    headers = {
        "x-rapidapi-key": RAPIDAPI_KEY,
        "x-rapidapi-host": HOST
    }
    r = requests.get(url, headers=headers, params=params)
    return r.json()

results = get_service_cost("plumber")
for pro in results.get("results", []):
    name = pro.get("name", "")
    rating = pro.get("rating", "N/A")
    price = pro.get("price_estimate", "Contact for quote")
    print(f"{name}: {rating} stars | {price}")
Enter fullscreen mode Exit fullscreen mode

Step 2: Build a Cost Comparison Widget 

def cost_summary(service, cities):
    summary = {}
    for city in cities:
        data = get_service_cost(service, city)
        pros = data.get("results", [])
        prices = []
        for p in pros:
            est = p.get("price_estimate", "")
            # Parse price ranges like "$85-$150"
            import re
            nums = re.findall(r'\$?([\d,]+)', str(est))
            prices.extend([float(n.replace(",", "")) for n in nums])

        if prices:
            summary[city] = {
                "min": min(prices),
                "max": max(prices),
                "avg": round(sum(prices) / len(prices), 2),
                "pros_found": len(pros)
            }
    return summary

cities = ["Austin, TX", "New York, NY", "Denver, CO", "Miami, FL"]
costs = cost_summary("plumber", cities)

for city, data in costs.items():
    print(f"{city}: ${data['min']}-${data['max']} (avg ${data['avg']}, {data['pros_found']} pros)")
Enter fullscreen mode Exit fullscreen mode

Output:

Austin, TX: $75-$185 (avg $118.50, 10 pros)
New York, NY: $95-$275 (avg $162.00, 10 pros)
Denver, CO: $80-$165 (avg $112.75, 10 pros)
Miami, FL: $85-$195 (avg $128.00, 10 pros)
Enter fullscreen mode Exit fullscreen mode

Step 3: Embed in Your App

Turn this into an API endpoint for your own app:

from flask import Flask, jsonify, request

app = Flask(__name__)

@app.route("/cost-estimate")
def cost_estimate():
    service = request.args.get("service", "plumber")
    city = request.args.get("city", "Austin, TX")
    data = get_service_cost(service, city)
    # ... process and return
    return jsonify(data)
Enter fullscreen mode Exit fullscreen mode

Now your real estate app can show "Average plumber cost in this neighborhood: $118/hr" next to every listing.

Use Cases

  • Real estate apps: Show service costs by neighborhood
  • Moving calculators: "Movers in Portland cost $X/hr"
  • Home improvement guides: Embed real pricing in your content
  • Lead generation: "Find top-rated electricians near you" with actual price data

The free tier gives you 200 requests/month — enough to power a modest app or prototype. Try the Thumbtack Pro Directory API.

Top comments (0)