Wikipedia API
Use our API to collect public data from the Wikipedia website on a large scale and without interruptions. Extract up-to-date article content, its edit history, images, profile pages, and comments. From fueling content creation to monitoring your brand and conducting market research, Wikipedia data can supercharge your business.
Real-time data without IP blocking
Scalable and maintenance-free infrastructure
Pay only for successful results
*This scraper is a part of Web Scraper API
Extract data from Wikipedia in bulk and in seconds
The data-gathering process is simple: form a payload with job parameters, include the Wikipedia website link you want to scrape, and send the request to our API, which will return results in HTML.
See an example of the output on the right, and explore more information in our documentation.
{
"results": [
{
"content": "\n\n
...
\n\n",
"created_at": "2023-06-28 07:56:42",
"updated_at": "2023-06-28 07:56:43",
"page": 1,
"url": "https://en.wikipedia.org/wiki/Oxylabs",
"job_id": "7079729310709324801",
"status_code": 200
}
]
}Trusted services and professional support
At the heart of our operations, we devote diligent effort to developing and maintaining reliable and exceptional-quality products. But we understand that challenges emerge, and for such cases, we have a professional support team always ready to assist and provide expert guidance.
24/7 support and other handy features
Proxy management
Access a global pool of 102M+ proxies to get localized data from any site without IP blocking.
Bulk data extraction
Retrieve data from up to 1000 URLs per batch in one go.
Multiple delivery options
Retrieve results via cloud storage bucket (AWS S3 or GCS) or our API.
Highly scalable
Easy to integrate, customize & supports a high volume of requests.
24/7 support
Receive expert assistance whenever you need it.
Smart data extraction with API features
Custom Parser
Independently write parsing instructions and parse any target effortlessly while using our infrastructure.
No need to maintain your own parser
Define your own parsing logic with XPath and CSS selectors
Collect ready-to-use structured data from Wikipedia
Web Crawler
Discover all pages on Wikipedia and fetch data at scale and in real time with Web Crawler feature.
Gather only the data you need from target websites
Control the crawling scope and tailor the end result
Retrieve your results in a specified format
Scheduler
Automate recurring scraping and parsing jobs with the needed frequency by scheduling them with Scheduler feature.
Create multiple schedules for different jobs
Receive data automatically to your preferred cloud storage
Get notifications once each job is done
Wikipedia API pricing
Gather cost-effective Wikipedia data
Pay only for successful results
Gather highly-localized data
Receive scraping know-how
Free Trial
0
1 week trial
Limited to 1 user
Micro
49
$2.80 / 1K results
$49 + VAT billed monthly
Starter
99
$2.60 / 1K results
$99 + VAT billed monthly
Advanced
249
$2.40 / 1K results
$249 + VAT billed monthly
17,500
38,000
104,000
10 requests / s
30 requests / s
We accept these payment methods:
Available scrapers
Frequently asked questions
Is it legal to extract data from Wikipedia?
The legality of web data extraction always depends on the method and type of data being collected. Website data extraction must be conducted in compliance with relevant laws and regulations, including copyright and privacy laws, among others, to avoid any violations. Also, it must be done responsibly and ethically so that it does not affect the performance of a website and is not violating any other terms of use. To learn more about this, visit Wikimedia’s official ToS and other pages on robot policy and User-Agent policy.
As in any case that involves web scraping sites, it is highly recommended to consult a legal expert before engaging in any data extraction activities. If you are curious to learn more about this topic, check out our in-depth blog post about the legality of web scraping.
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