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How One Developer Built 7 Web Scrapers and Started Earning Passive Income
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How One Developer Built 7 Web Scrapers and Started Earning Passive Income

A real strategy for finding untapped niches in the Apify Store and building a sustainable income stream from automation

lalatendu.swain
lalatendu.swainJuly 7, 2026 · 6 min read
Podcast

Building a Passive Income Stream from Web Scraping

A few weeks ago, someone had zero web scrapers. Today, they have seven—all published on the Apify Store, all making money, and all built in the gaps nobody else was fighting over. On 7 July 2026, they shared the full story on DEV Community: how they found the niches, what they built, and how much they're earning. This matters right now because most developers chase the crowded categories (LinkedIn scrapers, Amazon product extractors, Twitter data), but the real opportunity is in the quiet, overlooked spaces.

The Strategy: Zero Competition

Instead of fighting for visibility in saturated categories, the author took the opposite approach: find niches where no Apify actor exists yet.

The logic is simple. Yes, a zero-competition niche has a smaller total audience. But 100% of whatever traffic exists goes to you. No price wars, no fighting for reviews, no competing against actors with years of history and hundreds of ratings.

How to Find These Niches

The process was methodical:

  • Browsed the Apify Store categories sorted by actor count
  • Searched for common developer pain points with no existing Apify solution
  • Checked search volume for keywords like "[keyword] API" and "[keyword] scraper"
  • Verified zero results on the Apify Store for each candidate

The winners? Domain intelligence, screenshot comparison, Swedish company registry lookups, IP geolocation, QR code generation, and link metadata extraction.

The Tech Stack: Simple and Proven

Every actor uses the same foundation:

  • Apify Python SDK v3.4 — Handles input, output, storage, proxy configuration, and deployment
  • Playwright — For JavaScript-heavy websites and taking screenshots
  • aiohttp — Lightweight HTTP client for API-style scraping, faster than a full browser
  • Pillow — Image processing for screenshots and QR codes

Deployment is one command: apify push.

The Seven Actors: What They Do

1. Domain Intelligence Suite

WHOIS lookups, DNS records, SSL certificates, and tech stack detection in one call. Built with socket, SSL, and the python-whois library — no external API dependency needed. Priced at $0.005 per run.

2. Website Screenshot API

Full-page screenshots via Playwright. Handles lazy-loading, infinite scroll, and custom viewport sizing. Priced at $0.003 per run.

3. Link Preview Metadata Extractor

Pulls Open Graph tags, Twitter Cards, JSON-LD, and meta tags from any URL. Built with aiohttp for speed — no browser overhead. Priced at $0.002 per run.

4. Screenshot Comparison Tool

Pixel-level visual comparison that generates an overlay showing exactly what changed between two images. Built with Pillow for image processing. Zero existing competitors in this niche. Priced at $0.005 per run.

5. Swedish Company Registry

Scrapes official Bolagsverket data by parsing Next.js NEXT_DATA payloads for structured extraction. Priced at $0.003 per run.

6. IP Geolocation Lookup

IP geolocation with multi-provider fallback (ip-api.com → ipinfo.io). Priced at $0.003 per run.

7. QR Code Generator

Generates QR codes in PNG or SVG format via the qrcode library and Pillow. Pure Python, no external API. Priced at $0.002 per run.

The Money: Pay-Per-Event Pricing

All seven actors use pay-per-event pricing. Users only pay when the actor actually runs — no subscriptions, no minimums, no hidden fees.

The price range ($0.002–$0.005 per run) is deliberate: low enough that users try it without hesitation, high enough that volume adds up.

Apify takes a 20% commission plus platform costs for compute, proxy, and storage. On a $0.005 run, the developer keeps roughly $0.002–$0.003 after costs. At 1,000 runs per month per actor, that's $14–$21 per month per actor. Across seven actors, that's potentially $100–$150 per month.

Not life-changing yet—but it covers API bills and compounds as actors gain reviews and search ranking.

The Mistakes: What They'd Do Differently

Start with one high-demand actor first

The zero-competition strategy works, but mixing in one higher-demand category (even with competition) would drive faster initial revenue and proof-of-concept.

Build distribution before building more actors

The hard part isn't building—it's getting discovered. Starting with tutorials and content marketing before actor three would have accelerated growth.

Add free tier runs

A few free runs per month boosts usage numbers and helps with Apify Store ranking. The author is adding this to all actors.

Cross-link actors in every README

Users who need screenshots might also need screenshot comparison. Users doing company research might also want domain intelligence. Connect them.

What's Coming Next

The goal: 15 actors by the end of the month. New ones in the pipeline include a broken link checker, favicon grabber, and EXIF metadata extractor—all in zero-competition niches.

Each actor will ship with a dedicated tutorial and a GitHub usage repository to drive organic traffic.

Conclusion

Building passive income from web scraping isn't about competing in crowded marketplaces—it's about finding the gaps and filling them well. Seven actors, built in a few weeks, using a simple tech stack, all earning money in spaces where nobody else is looking. It's a blueprint for turning developer skills into a small but real income stream.

Merits

  • Low competition — targeting zero-actor niches means no price wars or review fights
  • Low barrier to entry — Python, Playwright, and aiohttp are accessible to most developers
  • Recurring revenue — pay-per-event pricing means income keeps flowing as long as the actor runs
  • Scalable — once built and deployed, actors require minimal maintenance
  • Compound growth — actors gain search ranking and reviews over time, bringing more traffic
  • Leverage existing tools — reusing the Apify SDK and Playwright stack across multiple actors speeds up development

Demerits

  • Low initial revenue — $0.002–$0.005 per run means you need thousands of runs to earn meaningful income
  • Discovery is hard — even in zero-competition niches, users have to find your actor first
  • Maintenance burden — seven actors means seven things that can break, need updates, or require bug fixes
  • Platform dependency — you're building on Apify's platform, subject to their fees, policies, and changes
  • Small total addressable market — niches with zero competition often have zero demand for a reason
  • SEO lottery — search ranking on Apify Store is opaque; some actors may never gain traction

Caution

This article is educational and reflects the author's experience as reported on DEV Community on 7 July 2026. All specific prices, revenue figures, and technical details are sourced from their post. If you build Apify actors, verify current pricing, commission rates, and platform policies directly with Apify before making deployment decisions. Web scraping has legal and terms-of-service implications—always verify you have permission to scrape a target site. Revenue figures mentioned here are not guarantees; actual results depend on actor quality, niche demand, search ranking, and how well you market your work.

Frequently asked questions

  • What is an Apify actor and how does it make money?
  • How do I choose a niche for building Apify actors?
  • What skills do I need to build a web scraper for Apify?
  • How long does it take to build and deploy an Apify actor?
  • What are realistic earnings from Apify actors?
  • How do I optimize an Apify actor for search ranking on the Apify Store?
  • Can I use Apify actors for legal web scraping?
  • What happens if an Apify actor breaks or the target website changes?

Tags

#apify #webscraping #passiveincome #automation #python #playwright #developer #buildinpublic

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