E-commerce product data
Titles, descriptions, prices, SKUs, categories, image URLs and availability from public product pages.
Web Scraping & Data Extraction Services
Custom Python scrapers and automated data collection that turn public web pages into clean Excel, CSV or JSON files.
Web scraping services built around your data needs
Tell us what data you need and where it is publicly available. We check feasibility, build and test a scraper, and deliver structured, cleaned data your team can use straight away.
- Custom Python web scrapers (Requests, BeautifulSoup, Selenium)
- Automated data collection on a schedule when you need regular updates
- E-commerce data scraping: product names, prices, SKUs, categories and stock status
- Business directory and public company data extraction
- Data cleaning, de-duplication and formatting before delivery
- Output as Excel, CSV, JSON or Google Sheets
Typical web scraping projects
- Product and price monitoring for online stores
- Competitor catalogue and listing data
- Public business directory data for prospect research
- Large copy-paste and data collection jobs automated
- One-off extraction or recurring data feeds
What we can extract
Data that is publicly visible on a website can often be collected in a structured form. These are the most common requests.
Business and directory data
Company names, websites, categories, addresses and publicly listed contact details from business directories where the site allows collection.
Listings and catalogues
Structured data from listing pages, catalogues and tables that would take days to copy by hand.
Ongoing data feeds
Scheduled scraping so a spreadsheet or database stays up to date with the source site.
Data cleaning and enrichment
Raw scraped data is formatted, de-duplicated and checked so it is ready for Excel, a CRM or your own tools.
Custom scraper development
A scraper written for your target sites, with notes on how it works, when you want to run it yourself.
Responsible, rules-aware data collection
Web scraping is only useful if it is done properly. We approach every project with these principles.
- We collect publicly available data and check each site’s terms of use and robots.txt before starting.
- We do not bypass logins, paywalls or security measures, and we keep request rates reasonable so sites are not overloaded.
- Some platforms, including Google Maps and LinkedIn, restrict automated collection in their terms. Where that applies we will suggest permitted alternatives such as official APIs, manual research or licensed datasets.
- If personal data is involved, you remain responsible for having a lawful reason to use it. We may decline projects that are not appropriate.
How it works
Scope
You tell us the target sites, the fields you need and the format you want.
Feasibility check
We review the site structure and terms, and confirm what can be collected.
Build and test
We build the scraper and send a small sample for your approval.
Run and deliver
We run the full extraction, clean the data and deliver your files.
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Learn more →Frequently asked questions
What is web scraping?
Web scraping is the automated collection of data from web pages into a structured format such as a spreadsheet, CSV file or JSON. It replaces hours of manual copy and paste with a repeatable process.
Is web scraping legal?
It depends on what data is collected, how, and under which terms. Public, non-personal data is treated differently from personal data or content behind a login. We check each site's terms before starting, and you should take legal advice if you have specific concerns.
Can you scrape Google Maps, Yellow Pages or LinkedIn?
Some of these platforms restrict automated collection in their terms of service. We will review your request and recommend a permitted approach, which can include official APIs, manual research or licensed data.
Which formats do you deliver?
Excel, CSV, JSON or Google Sheets. Tell us which format fits your workflow.
Can you build a scraper that I run myself?
Yes. We can develop a custom Python scraper for your target sites and explain how to run it.
Do you also clean and format the data?
Yes. We de-duplicate, standardise and check the data before delivery, so you receive something you can use immediately.