Custom Web Scraping
for E-commerce
and Social Media
PyScraping helps businesses collect structured data from Amazon, eBay, TikTok, Instagram, LinkedIn, and 15+ more platforms for market research, competitor monitoring, and API-ready delivery.
Trusted by data and intelligence teams at
19 platforms supported
Commercial data collection built around real business workflows
PyScraping serves agencies, technical teams, and merchants who need business-ready data through focused scraping, monitoring, and delivery workflows.
Custom Web Scraping
Tailored extraction workflows for directories, e-commerce sites, marketplaces, social platforms, and custom web sources.
E-Commerce & Social Data
Structured product, listing, pricing, review, and profile data from 19 major marketplaces and social platforms worldwide.
Recurring Monitoring
Scheduled collection workflows for price changes, seller activity, market shifts, and public web signals tracked over time.
API-Ready Delivery
CSV, Excel, JSON, and API-ready output formats for teams that need clean, structured data integrated into their workflows.
From requirements to delivery in three steps
Tell us the target and fields
Share the platform, target URLs, data fields, update frequency, and preferred output format.
We build the collection workflow
We define the scraping logic, platform-specific approach, and structured delivery plan around your use case.
Receive structured, business-ready data
Get the dataset in a format that matches your workflow, from files to API-ready delivery.
Data collection designed around business outcomes
Beyond platform coverage, PyScraping structures its service around real business use cases: competitor monitoring, seller discovery, lead generation, market research, and recurring data tracking.
Explore all solutionsStructured output that fits your team's actual workflow
Every project is scoped around a delivery format that integrates directly with your business process, from spreadsheets to API-ready data feeds.
Businesses that rely on PyScraping for commercial data
“PyScraping became our go-to for Amazon and eBay competitor data. The structured CSV output plugs straight into our reporting stack without any cleanup. We went from manual lookups to weekly automated feeds in under two weeks.”
“We needed TikTok creator data at scale for a campaign analysis project. The turnaround was fast, the fields were exactly what we requested, and the team was responsive when we needed adjustments. Exactly what a B2B data service should be.”
“We have tried building internal scrapers but the maintenance overhead is constant. Outsourcing to PyScraping freed up our engineers and gave us more reliable data delivery than we had before.”
Guides on web scraping, monitoring, and business data workflows
Practical articles on using structured web data for competitor analysis, market research, lead generation, and commercial intelligence.
View all articlesTell us what data you need and we will build the pipeline
Share your target platform, URLs, data fields, update frequency, preferred format, and business use case. We scope the right workflow for your team.