Wikipedia is the free online encyclopedia, available in hundreds of languages. We extract article text, infobox fields, categories, links between articles, references and page metadata, either for a list of articles you provide or for entire categories.
Structured Wikipedia data is useful for building knowledge bases and enriching company or product records. We deliver it in Excel, CSV, JSON or via API.
Scraping wikipedia.org
encyclopediaWhat data do we extract from wikipedia.org?
How does wikipedia.org scraping work?
Structure analysis
We study how the site organizes its data and identify every field you need.
Data extraction
We run a scraper that collects the data according to your requirements.
Delivery
You get the data as CSV, JSON or Excel, ready to use.
Formats & integrations
We deliver wikipedia.org data in a format that goes straight into your tools, with no manual copying or conversion.
CSV
A universal file you can import into any tool
Excel (XLSX)
A ready-made spreadsheet split into columns and tabs
JSON
A nested structure for integrations and apps
XML
A data exchange format for legacy systems
SQL database
Written straight into your database
API / webhook
Data reaches your systems automatically, no files needed
Pricing
Every project is priced individually. We don't sell fixed packages, because the scope of data from wikipedia.org varies a lot from one project to the next. The price depends on:
- Number of records and the range of fields to extract
- Frequency: a one-off export or recurring monitoring
- How complex the site is and what protections it uses
- Delivery method: file, database or API integration
Quotes and consultations are free, and recurring projects are billed as a subscription.
Turnaround time
Quote
within 24 h
We reply with the scope of work and a price within one business day.
Data sample
1 day
A test export so you can check the structure and quality.
Full delivery
1–3 business days
A standard one-off project, including quality checks.
Recurring monitoring
ongoing
A schedule that fits your needs, from hourly to daily.
