Service

Web Scraping
Automation Setup

Apify Scrapers · Data Pipelines · 48h Setup Sprint

I set up small, production-ready web data workflows for marketing and sales teams: Apify actors, scheduled scrapes, Google Sheets exports, CRM enrichment, competitor monitoring, and lightweight data pipelines your team can actually use.

Scope a Scraper → Read the Apify Guide
48h
Initial setup for a narrow public-data workflow.
$300+
Starter sprint for one scraper or extraction path.
Apify
Managed cloud runs, datasets, schedules, and exports.
No code
Your team gets a workflow, not a development backlog.

What I Can Automate

The best use cases are narrow and repeatable. Instead of buying a large data platform, you start with one public source, one business question, and one clean output your team can act on.

Google Maps lead extraction

Build local prospect lists by category, city, rating, website status, phone, and business profile signals.

Competitor price monitoring

Track public product pages, pricing tables, marketplaces, or category pages on a recurring schedule.

Reddit and forum research

Monitor public threads for complaints, competitor mentions, feature requests, and voice-of-customer language.

Article and content extraction

Turn public URLs into clean text, metadata, and markdown for research, summaries, and content operations.

Tech stack enrichment

Scan account lists for public website technologies and route prospects by stack, CMS, analytics, or payment signals.

Scheduled data pipelines

Connect Apify runs to Google Sheets, webhooks, Zapier, Make, n8n, Airtable, or a lightweight API endpoint.

Packages

$300-$1,000

Scraper Setup Sprint

One working scraper or actor workflow for a clear public data source, with export and handoff notes.

$500-$1,500

Monitoring Pipeline

A scheduled workflow with deduplication, basic QA, alerts or exports, and a simple operating guide.

$150-$500/mo

Monthly Maintenance

Small fixes, field changes, schedule checks, failed-run triage, and practical improvements after launch.

Delivery Process

01

Scope the public data

We define the exact source, fields, frequency, export format, compliance limits, and success criteria.

02

Build the workflow

I configure or build the Apify actor, test sample runs, normalize fields, and connect the export path.

03

Verify the output

You get a real dataset, failure notes, edge cases, and a clear view of what can and cannot be automated.

04

Hand off or maintain

I document how to run it yourself or keep the workflow monitored with a small monthly maintenance scope.

Compliance Limits

I only scope workflows around public data and legitimate business use cases. The goal is operational leverage, not bypassing access controls.

Good fit

  • Public business listings and directories
  • Public product, pricing, review, and content pages
  • Public Reddit/forum discussions for research
  • Owned content libraries, channels, and public URLs

Not a fit

  • Private/account-gated content without permission
  • Personal data harvesting or spam workflows
  • CAPTCHA bypass projects or credential-based scraping
  • Anything that violates platform terms or privacy law

Need a Scraper That Works This Week?

Send the source, the fields you need, and where the output should go. I will tell you quickly whether it is buildable, what the first working scope should cost, and what the limits are.

Get a Scraper Setup Quote →