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Web Scraping & Data Extraction

Automated scraping of competitor, market, and public data sources

❌ The Problem

  • Manual data collection from websites is tedious
  • Competitor pricing and product data changes frequently
  • No API access for critical data sources
  • Miss important market and competitor updates
  • Can't track trends or changes over time

✅ The Solution

  • Custom scraping logic for any website
  • JavaScript rendering for dynamic sites
  • Data cleaning and normalization
  • Scheduled runs and change detection
  • Automatic alerts when data changes

How It Works

1

Target Identification

Identify websites and data points to scrape

2

Scraper Development

Build custom scraper with Python, n8n, or Apify

3

Data Extraction

Extract data with JavaScript rendering support for dynamic sites

4

Data Cleaning

Clean, normalize, and structure scraped data

5

Scheduled Monitoring

Daily/weekly scrapes with change detection and alerts

Key Features

Custom scraping logic for any website
JavaScript rendering for dynamic sites (React, Vue)
Data cleaning and normalization
Scheduled runs and change detection
Competitor pricing monitoring
Product catalog scraping
Job posting and hiring trend tracking
News and content aggregation
Anti-bot bypass techniques
Slack/email alerts on data changes

Works With

n8n
Python
Apify
Airtable
Google Sheets
Slack
Webhooks
APIs

Custom scrapers built with Python, n8n, or Apify.

Perfect For

Competitive Intelligence

Monitor competitor pricing, products, and content

Market Research

Track trends, news, and market developments

Lead Generation

Scrape directories, job postings, and public sources

Pricing

$3,400

One-time setup + configuration

Optional: $450/month ongoing maintenance

Includes scraper updates, new targets, and support

Custom web scraper for your target sites

Data cleaning and normalization logic

Scheduled runs and change detection

30 days post-launch support

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