Wikipedia Phone Number Scraper

🔍 Wikipedia Phone Number Scraper

Wikipedia Phone Number Scraper helps you find public phone numbers that organizations, institutions and companies publish on wikipedia.org, in articles and other public Wikipedia pages. Enter keywords such as editor or researcher, choose a country, and the Actor returns validated phone numbers with the page title, the text snippet that contains each number, and a direct link to the source page.

It is built for researchers, journalists, analysts and outreach teams who want to find contact numbers connected to topics covered on Wikipedia. The Wikipedia Phone Number Scraper uses only publicly available information, so you don't need a Wikipedia account or login.

🚀 Quick start: Open the Wikipedia Phone Number Scraper, add keywords like editor or researcher, select a country such as United Kingdom (+44), set your phone number limit and click Start. Results appear in a dataset you can export to CSV, Excel or JSON.

✨ Wikipedia Phone Number Scraper – Key Features

The Wikipedia Phone Number Scraper turns keyword searches into a structured list of phone numbers with their Wikipedia source you can verify and use.

• 🔑 Keyword-based search – target roles, niches or topics such as museum, university, institute or editor.

• 🌍 194 countries supported – pick a country and its dial code; only numbers valid for that country are kept.

• ✅ Validated phone numbers – every number the Wikipedia Phone Number Scraper saves is checked and stored in the international E.164 format, such as +441134960123.

• 🧹 Automatic de-duplication – each phone number appears only once per run, even when several keywords find it.

• 🔗 Source context included – every record has the page title, the public snippet and the Wikipedia URL.

• 💾 Structured output – export as JSON, CSV, Excel, XML or HTML, or read results through the Apify API.

• 🔄 Reliable long runs – if the platform restarts a run, the Wikipedia Phone Number Scraper continues without saving duplicate numbers.

🔹 Why use the Wikipedia Phone Number Scraper?

Benefit	What it means for you
No login needed	Works with publicly available wikipedia.org pages only
Clean contact data	Validated, de-duplicated numbers in one consistent format
Easy to verify	Source URL and text snippet for every phone number
Predictable costs	Result limits and spending caps keep each run under control

📊 What Data Does the Wikipedia Phone Number Scraper Extract?

The Wikipedia Phone Number Scraper saves one record per phone number. Each record connects the number to the keyword that found it and the public Wikipedia page it came from.

Field	Description	Example
phone_number	Validated phone number in E.164 format	+441134960123
country	Country selected in the input	United Kingdom
dial_code	Country calling code	+44
keyword	Keyword that found this number	researcher
title	Title of the source page	Northfield Research Institute…
description	Public text snippet where the number appears	based in Leeds. Telephone +44 113…
url	Direct link to the source page	https://en.wikipedia.org/wiki/…
platform	Platform the record comes from	Wikipedia
proxyGroups	Technical information about the connection used for the run	–

The Actor covers wikipedia.org and its language editions. The Wikipedia Phone Number Scraper can return numbers from:

• 🏛️ Articles about organizations – such as institutes, museums, schools, clubs and companies.

• 🌐 Other language editions – of Wikipedia, such as German, French or Spanish, when you use local-language keywords.

• 📄 Other public wikipedia.org pages – that show a phone number in their title or snippet.

🔒 Public data only: The Wikipedia Phone Number Scraper reads publicly visible titles and snippets. It does not access user accounts, private messages or any non-public data.

📌 What to expect: Most Wikipedia articles do not list phone numbers, so results are usually lower than on social platforms. Organization-focused keywords, such as institute or museum, tend to return more numbers than personal roles.

🚀 How to Use the Wikipedia Phone Number Scraper

You can run the Wikipedia Phone Number Scraper in a few minutes without writing any code.

• Step 1 – Open the Actor: open Wikipedia Phone Number Scraper in Apify Console and go to the Input tab.

• Step 2 – Add keywords: enter roles, niches or terms such as researcher, institute, museum or university.

• Step 3 – Choose a country: select the country whose phone numbers you need. The dial code is applied automatically.

• Step 4 – Set your limit: enter the maximum number of phone numbers and decide whether it applies per keyword or to the whole run.

• Step 5 – Start the run: click Start and follow the log. The Wikipedia Phone Number Scraper processes keywords in the order you entered them.

• Step 6 – Export your data: download the dataset as CSV, Excel or JSON, or send it to your CRM.

⏰ Large searches: For high phone-number limits or many keywords, increase the timeout in Run options. The default timeout is 3,600 seconds (1 hour).

🧭 How to Find Phone Numbers on Wikipedia by Keyword and Country

Keyword and country together decide which phone numbers you receive. The Wikipedia Phone Number Scraper looks for public wikipedia.org pages that match your keyword and contain a number valid for the selected country, then extracts and validates every number it detects.

For example, to collect contacts of UK research organizations, combine researcher, institute and laboratory with United Kingdom (+44). To reach German museums, try Museum and Stiftung with Germany (+49) to include German-language pages.

🔹 Choosing keywords that return more phone numbers

• Use organization types such as institute, foundation, museum, school or hospital.

• Use topic words linked to your research area, such as climate, history or engineering.

• Use the local language to include pages from other Wikipedia editions.

• Add several short, related keywords instead of one long, narrow phrase.

💡 Can the Wikipedia Phone Number Scraper Limit Phone Numbers per Keyword or per Run?

Yes. The Wikipedia Phone Number Scraper gives you two ways to apply the Max Phone Numbers limit, controlled by the Per Keyword Scrape Max Contacts switch.

Setting	How the limit works	Example with 3 keywords and a limit of 50
ON (default)	The limit applies to each keyword separately	Up to 150 phone numbers in total
OFF	The limit applies to the whole run	Up to 50 phone numbers in total

With the switch ON, every keyword gets its own share, so one popular keyword cannot use up the whole limit. With the switch OFF, the Wikipedia Phone Number Scraper stops as soon as the total is reached.

⚠️ Heads-up: With the switch ON, a run can collect – and be billed for – up to Max Phone Numbers × number of keywords, and it takes proportionally longer.

🎯 Wikipedia Phone Number Scraper – Use Cases

The Wikipedia Phone Number Scraper is useful when you need contact numbers connected to well-documented topics and organizations.

• 🔬 Academic and market research – collect contacts of institutes, foundations and research bodies in a field.

• 📰 Journalism and fact-checking – find the published numbers of organizations mentioned in a story.

• 🏛️ Institutional outreach – reach museums, schools, clubs and associations for partnerships or events.

• 🤝 Nonprofit and grant work – build lists of organizations active in a cause or region.

• 📊 Data enrichment – add phone numbers and Wikipedia links to existing organization records.

• 🗂️ Contact verification – compare numbers in your database with the ones shown publicly on Wikipedia.

📥 Wikipedia Phone Number Scraper Input

The Wikipedia Phone Number Scraper uses a simple input form. Only Keywords and Country are required.

Field	Type	Required	Description
keywords	List of text	Yes	Keywords to search for, such as roles, niches or names. Default: editor, researcher
country	Select	Yes	Country of the phone numbers you need, shown with its dial code. Default: United Kingdom (+44)
maxPhoneNumbers	Number (1–10,000)	No	Maximum number of phone numbers to collect. Default: 5
perKeywordMaxContacts	On/Off	No	ON: the limit applies to each keyword. OFF: the limit applies to the whole run. Default: ON
proxyConfiguration	Proxy settings	No	Optional connection settings. The default works for most users

🔹 Example input for the Wikipedia Phone Number Scraper

{
    "keywords": [
        "editor",
        "researcher"
    ],
    "country": "United Kingdom (+44)",
    "maxPhoneNumbers": 5,
    "perKeywordMaxContacts": true
}

💡 Note: A higher limit allows more potential results but does not guarantee reaching that number. The Wikipedia Phone Number Scraper stops early when no more matching public numbers are available.

📤 Wikipedia Phone Number Scraper Output

Every phone number the Wikipedia Phone Number Scraper finds is saved as a separate record in the run's dataset. Here is a sample of two records:

[
    {
        "phone_number": "+441134960123",
        "country": "United Kingdom",
        "dial_code": "+44",
        "keyword": "researcher",
        "title": "Northfield Research Institute - Wikipedia",
        "description": "Founded by a marine researcher in 1968, the institute is based in Leeds. Telephone +44 113 496 0123.",
        "url": "https://en.wikipedia.org/wiki/Northfield_Research_Institute",
        "platform": "Wikipedia"
    },
    {
        "phone_number": "+441174960456",
        "country": "United Kingdom",
        "dial_code": "+44",
        "keyword": "editor",
        "title": "The Riverside Gazette - Wikipedia",
        "description": "Weekly local newspaper founded in 1921 in Bristol. Its editor can be reached on 0117 496 0456.",
        "url": "https://en.wikipedia.org/wiki/The_Riverside_Gazette",
        "platform": "Wikipedia"
    }
]

Each record also includes the technical proxyGroups field. Local formats such as 0117 496 0456 are converted to the international format +441174960456.

🔹 Export and integration options

• 📁 Download the dataset as JSON, CSV, Excel, XML or HTML.

• 🔌 Use the Apify API to start Wikipedia Phone Number Scraper runs and fetch results from your own scripts or apps.

• ⏱️ Schedule runs to refresh your results daily, weekly or monthly.

• 🔗 Connect integrations such as webhooks, Make or Zapier to send new contacts to your CRM or spreadsheet.

💰 Wikipedia Phone Number Scraper Pricing

The Wikipedia Phone Number Scraper is priced per result: you pay for each phone number record saved to your dataset. The current price is always shown on the Actor's Pricing tab.

Plan or setting	What happens
Free Apify plan	Each run returns up to 20 phone number results
Paid Apify plan	Each run returns up to your Max Phone Numbers limit
Maximum cost per run	The run stops when your limit is reached, so you are not billed beyond it

💡 Cost tip: Start with a small limit, such as 5–20 phone numbers, to test your keywords before you launch a large Wikipedia Phone Number Scraper run.

🛠️ Wikipedia Phone Number Scraper Tips and Best Practices

Follow these tips to get more useful results from the Wikipedia Phone Number Scraper:

• 🧪 Test first – run two or three keywords with a low limit to see which ones return numbers.

• 🔁 Low results? Re-run with broader keywords, more related terms or a different country.

• 🌍 Match the country to your audience – numbers are validated for the selected country only.

• 🔍 Check the source – Wikipedia content can be outdated, so confirm each number on the organization's own website.

⚖️ Use data responsibly: Phone numbers are personal data in many countries. Follow privacy laws such as GDPR and CCPA and local telemarketing and anti-spam rules, respect opt-out requests and never use the data for spam.

❓ Wikipedia Phone Number Scraper – Frequently Asked Questions

🔹 What is a Wikipedia phone number scraper?

It is a tool that collects phone numbers published on public Wikipedia pages. The Wikipedia Phone Number Scraper on Apify does this automatically for your keywords and country and returns validated, structured results.

🔹 How do I find an organization's phone number on Wikipedia?

Enter the organization's name or type, such as institute or museum, choose its country and start the run. The Wikipedia Phone Number Scraper collects numbers shown on matching public Wikipedia pages.

🔹 Does the Wikipedia Phone Number Scraper search other language editions?

Yes. It covers wikipedia.org and its language subdomains, and it needs no Wikipedia account. Use keywords in the local language to reach pages from editions such as German, French or Spanish Wikipedia.

🔹 Why did the Wikipedia Phone Number Scraper return fewer phone numbers than my maximum?

The maximum is an upper limit, not a guarantee. If only a few public pages match your keyword and country, the Wikipedia Phone Number Scraper finishes early with the numbers it found. Try broader keywords, more keywords or another country.

🔹 Can the Wikipedia Phone Number Scraper collect numbers from a specific country?

Yes. Choose one of 194 countries in the Country field. Only numbers valid for that country are saved, together with the country name and dial code.

🔹 In what format does the Wikipedia Phone Number Scraper save phone numbers?

All numbers are saved in the international E.164 format, such as +441134960123, which works well with CRMs, dialers and spreadsheets.

🔹 Does the Wikipedia Phone Number Scraper remove duplicates?

Yes. Each phone number is saved only once per run, even if several keywords or pages contain it. The first keyword that found the number is stored in the keyword field.

🔹 Can I run the Wikipedia Phone Number Scraper on a schedule or through an API?

Yes. You can schedule runs in Apify Console, start them with the Apify API, and send the results to other tools with webhooks or integrations.

🔹 Is it legal to use a Wikipedia Phone Number Scraper?

The Wikipedia Phone Number Scraper collects only publicly available data. You are responsible for using it in line with GDPR, CCPA and local telemarketing rules.

📬 Wikipedia Phone Number Scraper Support

Have a question about the Wikipedia Phone Number Scraper, found an issue, or need a tweak or a custom build? Get in touch – feedback and feature requests are always welcome.

• contact me by email : alphascraper69@gmail.com