The build-vs-buy memo

Don't Scrape Zillow.
Use the API.

Building your own Zillow scraper means residential proxies, captcha solvers, brittle HTML selectors, and a ban-and-rebuild cycle. We've already done that work. Hit one REST endpoint instead.

50 free calls / month · no card required

The cost of building it yourself

DIY scraper vs $29/mo API

The all-in monthly cost of running your own Zillow scraper at moderate volume (~5,000 pulls/mo).

Line itemBuild it yourselfrealestateinvestingapi.com
Residential proxy budget$200–$800 / mo
Captcha solver service$50–$300 / mo
Developer time (build + maintain)40–80h / mo @ $75/hr = $3,000–$6,000~2h integration, one-time
Cloud + headless browser instances$80–$250 / mo
Ban riskDays-of-downtime per quarterOur problem, not yours
Schema breakage~Every 6 weeks, full rewriteVersioned OpenAPI 3.1 spec
Monthly total$3,330 – $7,350+$29

What you'd have to build

The 5-step Zillow scraper from scratch

Each step is its own project. You'd own all five forever.

  1. 01

    Build a proxy rotator

    Buy residential IPs from Bright Data / Oxylabs. Rotate per request, blacklist banned IPs, retry on 403s.

  2. 02

    Bypass press-and-hold captcha

    Zillow uses PerimeterX. Plug a captcha-solver API (~$2/1000 solves) and detect challenges before they tank your pipeline.

  3. 03

    Drive a headless browser

    Playwright with stealth plugins. Random UA + viewport + mouse-jitter. Block analytics network calls to look human.

  4. 04

    Maintain HTML selectors

    data-testid attributes change ~every 6 weeks. Build a monitoring layer that detects schema drift before it hits prod.

  5. 05

    Scale it horizontally

    1k pulls/day is one box. 100k/day is a Kubernetes cluster with proxy pools, queue, dead-letter, alerting, oncall rotation.

Same job, two stacks

200 lines of brittle Python — or one cURL call.

Build it yourself

Python
import asyncio
from playwright.async_api import async_playwright
from bs4 import BeautifulSoup
import random, time

PROXIES = [
    "http://user:pass@45.12.55.10:10001",
    "http://user:pass@45.12.55.11:10001",
    # … hundreds more residential IPs
]
UA_POOL = [
    "Mozilla/5.0 (Windows NT 10.0; Win64) AppleWebKit/537.36 …",
    # … rotate per request
]

async def scrape(zpid):
    proxy = random.choice(PROXIES)
    async with async_playwright() as p:
        browser = await p.chromium.launch(
            proxy={"server": proxy},
            args=["--disable-blink-features=AutomationControlled"],
        )
        ctx = await browser.new_context(user_agent=random.choice(UA_POOL))
        page = await ctx.new_page()

        await page.goto(f"https://www.zillow.com/homedetails/{zpid}_zpid/")
        # check for press-and-hold captcha
        if await page.query_selector("#px-captcha"):
            await solve_captcha(page)  # ← external service, $$/solve
            await page.reload()

        await page.wait_for_selector("[data-testid='price']", timeout=15000)
        html = await page.content()
        await browser.close()

    soup = BeautifulSoup(html, "html.parser")
    # selectors break ~every 6 weeks
    price  = soup.select_one("[data-testid='price']").text
    beds   = soup.select_one("[data-testid='bed-bath-item']").text
    # … 40 more selectors
    return {"price": price, "beds": beds, ...}

# this works for ~3 weeks before bans escalate, then rebuild

Use the API

cURL
curl -X POST https://api.realestateinvestingapi.com/v1/zillow \
  -H "Authorization: Bearer reia_live_••••••••" \
  -d '{"action":"propertyDetails","params":{"zpid":"29453621"}}'

On the legal question

A short, plain-factual note

We operate as a search aggregator. We respect robots.txt, we don't bypass authentication, and we rate-limit our upstream calls — the same posture a search engine takes when indexing public pages.

Public-data scraping has been litigated in US courts, most notably hiQ Labs v. LinkedIn. The 9th Circuit held that scraping public web data is not a CFAA violation. That doesn't override the platform's Terms of Use, which create contractual (not criminal) obligations.

We're not your lawyer. We're not anybody's lawyer. You should consult your own counsel about your specific use case — particularly if you're republishing data, building a directly competitive product, or operating in a regulated industry.

Pricing

$29/mo replaces a $7k/mo scraper stack

  • Free

    Kick the tires. No card required.

    $0/mo

    50 calls included · hard cap

    • 50 API calls / month
    • All 30 endpoints
    • Hard cap — no overages
    • Community support
  • Starter

    Solo wholesalers and side projects.

    $29/mo

    1,000 calls included · then $0.010/call

    • 1,000 API calls / month
    • All 30 endpoints
    • $0.01 per call after
    • Email support
  • Most popular

    Growth

    Internal tools, dashboards, lead engines.

    $99/mo

    10,000 calls included · then $0.005/call

    • 10,000 API calls / month
    • All 30 endpoints
    • $0.005 per call after
    • Priority email support
    • Webhook delivery
  • Scale

    Funded prop-tech and high-volume teams.

    $299/mo

    50,000 calls included · then $0.003/call

    • 50,000 API calls / month
    • All 30 endpoints
    • $0.003 per call after
    • 99.9% uptime SLA
    • Slack-shared support channel

All plans · 99.9% uptime SLA · OpenAPI 3.1 spec · scrape.do failover · US-based servers

FAQ

Build-vs-buy questions

Scraping publicly available data is generally permitted under US law — the leading case is hiQ Labs v. LinkedIn(9th Cir., 2022), which held that scraping public pages does not violate the CFAA. State laws (e.g. CFAA-equivalents in CA, NY) and Zillow's own Terms of Use add complexity. Consult counsel for your specific use case — we're engineers, not lawyers.

Spend the weekend on your product, not on captcha solvers.