Playwright · Crawlee · Apify · Proxies

Web Scraping & Data Extraction

Scrapers that survive the site changing, the proxy dying and the anti-bot vendor updating. Built once, monitored afterwards.

Describe your project → How it works
31 actors on the Apify Store 2,500+ users JSON, CSV, database or webhook output You own the code

What Gets Built

Most scraping projects fail after launch, not before it. The site changes a class name, the proxy pool gets burned, a CAPTCHA appears on page 40. Everything here is built with that day in mind.

Custom crawlers

Playwright or Crawlee scrapers for JavaScript-heavy sites, logged-out public data, infinite scroll, pagination, and nested detail pages. Written in TypeScript with typed output schemas.

Apify actors

Hosted on Apify with pay-per-event pricing, scheduling, dataset storage and a public or private listing. Callable from any language, from n8n or Make, and from AI assistants through the Apify MCP server.

Anti-bot and proxy strategy

Residential and datacenter proxy rotation, session pools, fingerprinting, request pacing, and fallbacks for Cloudflare, Akamai, Vercel challenges and friends. Decided per target after a feasibility probe, not guessed.

Monitoring and alerts

Every scraper ships with success-rate tracking, schema-drift detection and alerts to Slack, email or a webhook. You find out it broke before your customer does.

Cleaning and normalisation

Deduplication, currency and unit normalisation, date parsing, entity matching across sources. The output is ready for a database or a dashboard, not a spreadsheet of surprises.

Delivery where you need it

Apify dataset, Google Sheets, Postgres or MongoDB, S3, a webhook into your app, or a REST endpoint. Incremental runs deliver only what changed.

How It Works

A fixed quote is only honest after I have looked at the target. So the first step is always a probe, not a proposal.

  1. Send the target and the fields

    Which sites, which fields, how often, and how much data. If you have an example of the output you want, include it.

  2. Feasibility probe and fixed quote

    I test the site for blocking, rate limits, login walls and legal red flags, then send a written scope with a fixed price and an estimate of ongoing hosting and proxy cost.

  3. Build and test on real volume

    The scraper runs against the full target, not ten sample pages. You see the dataset in staging and sign off on the schema.

  4. Handover and monitoring

    Deployed to Apify or your infrastructure with a runbook, alerting, and a walkthrough. Optional maintenance retainer for when the site changes.

Proof, Not Promises

31 actors are live on the Apify Store with 2,500+ users between them. Every one is a public scraper or automation you can run before hiring me, with run history, pricing and reviews visible on the listing.

Who This Is For

Scraping is a means, not an end. The projects that go well have a clear consumer for the data.

E-commerce sellers

Competitor prices, sold-listing analytics, stock levels and review monitoring across marketplaces, feeding a repricing sheet or your own dashboard.

Lead generation teams

Directories, registries, job boards and company pages turned into enriched, deduplicated lead lists on a schedule.

Researchers and analysts

Public records, permits, listings, prices and posts collected consistently over time so trends are measurable.

SaaS and AI teams

A reliable data feed behind your product, or a scraper exposed as a tool that your agents can call.

FAQ

Is web scraping legal?

Scraping publicly available data is generally lawful in most jurisdictions, but terms of service, copyright, GDPR and computer-misuse laws all apply depending on the target and the use. I scrape public pages, respect robots.txt where it is meaningful, rate-limit politely, and decline projects that involve logged-in personal data, credential sharing or bypassing paywalls. If a target sits in a grey area I say so in the feasibility probe.

What happens when the site blocks the scraper?

That is the expected failure mode, so every scraper is built with retries, proxy rotation, session handling and monitoring. When a target changes materially, you get an alert instead of silent empty data. Fixes after handover are covered by a maintenance retainer or quoted per incident.

How much does a custom scraper cost?

Every project gets a fixed quote after a feasibility probe, so the price reflects the actual difficulty of the target rather than an hourly guess. Simple public sites are a few days of work. Heavily protected targets with anti-bot vendors, logins or large volumes take longer. Ongoing costs are Apify compute and proxy bandwidth, billed at cost.

Who owns the code and the data?

You do. Code is delivered to your repository or your Apify account. Data lands in storage you control. If you prefer I host it, you still keep a copy of the source.

Can I run the scraper from an AI assistant?

Yes. Actors published on Apify are callable from Claude, Cursor, ChatGPT and any MCP-compatible client through the Apify MCP server, and from n8n, Make or Zapier through the Apify integrations. Private actors work the same way.

Do you also build the thing that uses the data?

Often. Scraping usually feeds an automation, a dashboard or a SaaS product. Scoping the consumer alongside the scraper avoids building a dataset nobody reads.

Got something worth building?

One email. One call. Written scope and a fixed quote.

[email protected] → See the work

Workflow Automation · Shopify Development · SaaS & Websites · All services