5 Developer Tools You Shouldn't Build Yourself

Every developer has a graveyard of "I'll build that myself" projects that never shipped. The funny thing is someone already built most of them, and they cost less than the electricity your laptop used while you were thinking about it.

Here are five ready-to-use APIs that cover common developer needs. Each one costs under a cent per call.

QR codes without the library hunt

You need QR codes. You Google "python qr code library" and find twelve options. You pick one, it works, then a colleague asks for SVG output with custom colors and error correction level H. You're back to square one.

The QR Code Generator handles it in one call:

import requests

resp = requests.post(
    "https://api.apify.com/v2/acts/weeknds~qr-code-generator/runs",
    headers={"Authorization": f"Bearer {API_TOKEN}"},
    json={
        "text": "https://apify.com/weeknds",
        "format": "svg",
        "size": 512,
        "fgColor": "#1a1a2e",
        "bgColor": "#ffffff",
        "errorCorrection": "H"
    }
)

$0.002 per run. 500 QR codes for a dollar. The qrcode Python library handles basics, but the moment you need production-grade output — SVG rendering, color space conversions, error correction — you're deep in dependency management.

IP geolocation without the rate limits

Free IP geolocation APIs exist. They also throttle you after fifty requests, demand attribution links, or go down without warning.

The IP Geolocation Lookup chains multiple free providers with automatic fallback. If ip-api.com is down or rate-limited, it falls through to ipinfo.io. You always get a response:

def geolocate(ip):
    resp = requests.post(
        "https://api.apify.com/v2/acts/weeknds~ip-geolocation-lookup/runs",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        json={"ip": ip}
    )
    return get_results(resp)  # country, city, ISP, ASN, timezone, coordinates

$0.003 per run. 333 lookups for a dollar. Free APIs cap you hard. Paid ones start at $50 a month. This chains free providers behind one stable endpoint.

Link previews without the HTML parsing

Every messaging app needs link unfurling. Open Graph tags, Twitter Cards, JSON-LD, basic meta. That means handling HTTP redirects, detecting encodings (and dealing with servers that lie about them), parsing meta tags case-insensitively, extracting nested JSON-LD graphs, and falling back to title tags when nothing else exists.

The Link Preview & Metadata Extractor handles all of it:

def unfurl_link(url):
    resp = requests.post(
        "https://api.apify.com/v2/acts/weeknds~link-preview-metadata-extractor/runs",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        json={"url": url}
    )
    meta = get_results(resp)
    return {
        "title": meta["og:title"],
        "description": meta["og:description"],
        "image": meta["og:image"]
    }

$0.002 per run. 500 extractions for a dollar.

Screenshots without Puppeteer nightmares

Puppeteer in production is a headache. Memory leaks, zombie processes, Chrome version mismatches. Five minutes in and you're writing a health check for your screenshot service instead of shipping.

The Website Screenshot API handles full-page or viewport captures:

def screenshot(url):
    resp = requests.post(
        "https://api.apify.com/v2/acts/weeknds~website-screenshot-api/runs",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        json={"url": url, "fullPage": True, "viewportWidth": 1280}
    )
    return get_results(resp)["screenshotUrl"]

$0.003 per run. 333 screenshots for a dollar. Running your own headless Chrome costs more in compute alone, before you even get to proxy rotation, CAPTCHAs, and retry logic.

Visual regression testing without the build pipeline

You deploy a CSS change. Three days later someone notices the checkout button is behind the footer on mobile. Visual regression tools like Percy or Chromatic exist, but they need CI pipeline config, YAML files, and monthly subscriptions.

The Screenshot Comparison Tool takes two screenshots and produces a pixel-level comparison:

def check_for_regression(url, baseline_date):
    baseline = get_screenshot(url, baseline_date)
    current = screenshot(url)

    resp = requests.post(
        "https://api.apify.com/v2/acts/weeknds~screenshot-comparison-tool/runs",
        headers={"Authorization": f"Bearer {API_TOKEN}"},
        json={"baselineImageUrl": baseline, "currentImageUrl": current}
    )

    diff = get_results(resp)
    if diff["diffPercentage"] > 2.0:
        alert(f"Visual regression: {diff['diffPercentage']}% changed")

$0.005 per comparison. 200 comparisons for a dollar.

The numbers

Run all five at production scale and here's what it costs at 1,000 calls each:

QR Code Generator: $2.00. IP Geolocation: $3.00. Metadata Extractor: $2.00. Screenshot API: $3.00. Screenshot Diff: $5.00.

That's five fully managed API services for $15 total at 1,000 calls apiece. Your time is worth more than that.