Web Scraping Services

A lot of the information businesses need is already public on websites: product details, prices, company listings, locations, articles and market data. Getting it into a usable form by hand means copying page after page, and the result gets harder to keep consistent as the volume grows.

Worth Web Scraping collects publicly available data from websites and organizes it into structured datasets. Teams use that data for research, pricing, sales, competitor monitoring, market analysis, reporting and internal databases.

This page gives the broad picture: what can be collected, where it comes from, how a project runs and what you receive at the end. Some requirements call for a more specialized service, and that is covered further down.

In general, the data we collect falls into these groups:

• Product information – names, URLs, brands, categories, descriptions, specifications, variants and images
• Prices and availability – current and original prices, discounts, currency and stock status where the site shows it
• Company and business details – business names, categories, addresses, websites and the services listed publicly
• Listings and locations – listing titles, categories, locations, descriptions, prices and dates
• Reviews and ratings – ratings, review counts, review text and dates, where they are publicly accessible
• Articles and content – headlines, authors, publishers, publication dates, categories and topics
• Market information – publicly displayed market and company information from selected sources
• Other public website data – any other publicly accessible information your project defines

A field is collected only where the source website displays it and your project needs it.

All of it comes from publicly accessible websites. Typical sources include:

• Online stores and marketplaces – product pages, category listings and seller pages
• Business directories and company websites – profiles, categories and public business details
• News sites, blogs and other publications
• Travel and hotel websites – property pages, room and rate listings
• Real estate portals – property listings and agency pages
• Job boards and company career pages
• Financial and market information websites
• Classified ads, search-result pages and other listing sites, along with government and public information sites

Whatever the source, collection should be carried out with care for the website’s terms, applicable regulations and the nature of the information involved.

No two websites are built the same way. Pagination, filters, search results, product variants and dynamic content all change how a source has to be collected, so the workflow is designed around each project’s sources. Most projects move through three stages.

1. Define the required data. Agree on what information you need and what it will be used for.
2. Identify the source websites. Confirm which websites, pages, categories or searches the data should come from.
3. Map the required fields. Decide what each record should contain, for example a title, URL, price, location or category.

4. Collect the source data. A collection workflow is built around the structure of the chosen websites.
5. Extract and structure the information. The required fields are pulled out of the collected pages and organized into one consistent dataset.
6. Validate the output. Where needed, duplicate records, inconsistent formats and missing values are reviewed before delivery.

7. Deliver the dataset. The data is delivered in the format agreed for your project.
8. Repeat or update when required. For recurring projects, collection can be repeated on a schedule defined for the project, and the workflow reviewed if a source website changes.

The output is a structured dataset. Each item collected, such as a product, listing or article, becomes one record, and each piece of information about it sits in its own field. A product dataset, for example, might have separate columns for the product name, URL, price, currency and availability.

Depending on the project, the data can be delivered as:

• CSV files
• Excel files
• JSON
• Database-ready data for loading into your own systems
• API or data feed access, where applicable to the project

The final structure and format are shaped around how your team plans to use the data.

Request a Data Collection Project

Projects tend to differ in two ways: how often the data is needed, and what is being collected.

• One-time collection – a defined dataset delivered once for a specific research, analysis or database requirement
• Recurring collection – selected information refreshed on a schedule defined for the project

• Multi-website collection – the same or related fields gathered from several websites into a single dataset
• Product and catalog collection – product information taken from online stores and catalogs
• Listing and directory collection – structured records from directories, classifieds and other listing sites
• Content collection – articles and other published content, along with their metadata
• Market and competitor data – selected company, product, pricing and market information, for one-off or ongoing research
• Custom website-specific extraction – fields specific to your requirements, including moving information from an existing website into a required structure

Most projects fit the general process described above. Some need more: detailed product records, price tracking over time, competitor datasets, monitoring for changes on web pages, crawling through complex site structures, recurring data feeds or API access. Those requirements are handled as specialized services, with more detail than this overview can give.

If it is not obvious where your project fits, describe the result you want and we can work out the approach from there.

Not every project fits a fixed package, and we do not try to force it into one. The scope, structure and schedule are worked out from the websites you need data from and the fields you need from them.

• The websites you want data from, or the kind of sources you have in mind
• Specific URLs, categories or page types
• The fields you need for each record
• Examples of the records you would like to receive
• How often you need the data, if it is more than a one-time collection
• Your preferred output format
• Roughly how much data you expect, if you know
• The geographic or market scope, where it matters

If some of this is not settled yet, send what you have. We can review your requirements and suggest a suitable approach.

Tell us which websites and data fields you need and how you would like to receive them.

Request a Data Collection Project