How to Look Up an Unknown VoIP Number Using Snscrape

Have you ever received a call or voicemail from an unfamiliar number that turned out to be coming through Voice over Internet Protocol (VoIP)? Tracking down the source of these mystery VoIP calls can be tricky, as they often lack the identifying information tied to traditional landline or mobile numbers. However, with a little sleuthing on social media using the snscrape library, you may be able to uncover clues about who is behind that unknown VoIP number.

In this guide, we‘ll walk through the process of leveraging the powerful snscrape tool to scour social networks for mentions of a specific VoIP number. By the end, you‘ll be equipped with a handy technique for investigating these unidentified callers.

Understanding VoIP Numbers

First, let‘s clarify what VoIP numbers are and how they differ from other phone numbers. VoIP technology allows users to make voice calls over the Internet rather than through a regular phone line. Skype, Google Voice, and Vonage are a few well-known examples of VoIP providers.

VoIP numbers, which enable this type of Internet-based calling, can be trickier to trace than landline or mobile numbers. They are not tied to a physical address or device, making them more anonymous. Additionally, VoIP providers often allow users to select their own number, including area code, so the calling number may have no connection to the actual location of the caller.

These factors make tracking down an unknown VoIP number more difficult compared to looking up a traditional phone number. However, by leveraging social media data, it‘s possible to gather breadcrumbs that could demystify the source of those enigmatic calls.

Harnessing Snscrape for Social Media Scraping

Snscrape is a powerful Python library that enables scraping data from a wide array of social networking services. Some of the platforms it can scrape include:

  • Twitter
  • Facebook
  • Instagram
  • Reddit
  • VKontakte
  • Weibo
  • Mastodon

The expansive reach of snscrape across social sites makes it an ideal tool for casting a wide net to find mentions of a particular VoIP number. Here‘s how the basic process works:

  1. Install snscrape and any necessary dependencies
  2. Import the required libraries into your Python environment
  3. Specify the social network(s) and search parameters
  4. Execute the scraper and collect the results
  5. Analyze the scraped data for clues related to the VoIP number

One major advantage of snscrape compared to using the official APIs of social platforms is the ability to scrape without limitations. Unlike Twitter‘s API, for instance, snscrape does not cap the number of tweets you can gather. This means you can retrieve older data that could be relevant to your VoIP number search.

Now let‘s get into the nitty-gritty of applying snscrape to look up an unknown VoIP number. For this example, we‘ll focus on scraping Twitter, but a similar approach could be used for other social networks as well.

Step-by-Step: Scraping Twitter for a VoIP Number

Before you begin, make sure you have snscrape and the Pandas library installed in your Python environment.

  1. Import the necessary libraries:
import snscrape.modules.twitter as sntwitter
import pandas as pd
  1. Define your search parameters, including the VoIP number in question. Enclosing the number in quotes will ensure an exact match.
voip_number = ‘"555-123-4567"‘

query = voip_number
  1. Create a list to store the scraped tweets and set a limit for the number of tweets to scrape (or set no limit by omitting the max_tweets parameter):
tweets = []
limit = 1000

for tweet in sntwitter.TwitterSearchScraper(query).get_items():
    if len(tweets) >= limit:
        tweets.append([, tweet.user.username, tweet.rawContent])
  1. Convert the scraped data into a Pandas DataFrame for easier analysis:
df = pd.DataFrame(tweets, columns=[‘Date‘, ‘User‘, ‘Tweet‘])
  1. Examine the resulting DataFrame for any tweets mentioning the VoIP number. Look for clues about who may be associated with the number, such as usernames, names, or other identifiable details.

Here‘s an example of what the output might look like:

Date User Tweet
2023-03-15 @jane82 Just got a weird call from 555-123-4567. Anyone know this number?
2023-02-28 @bob_f 555-123-4567 has been calling me non-stop. It‘s a VoIP number.
2022-11-03 @suelee Received a scam voicemail from 555-123-4567. Beware!

In this hypothetical example, we don‘t see any definitive information about who owns the VoIP number, but we can gather some potentially useful context. It seems this number may be associated with scam calls, for instance. If any of the users who tweeted about the number appear to have a personal connection, it could be worth exploring their profile further.

Keep in mind that this is a simplified example, and an actual search may yield a large volume of noise to sift through. Some strategies for filtering and zeroing in on relevant results include:

  • Scanning for tweets that suggest a personal experience with the number rather than simply commenting on it
  • Checking if any users have tweeted about the number multiple times, which could indicate a connection
  • Searching for the number on other social networks to see if the same users discuss it elsewhere
  • Adjusting your search parameters to include keywords like "call," "voicemail," "scam," etc.
  • Looking for patterns, such as multiple reports of scam calls associated with the number

While there‘s no guarantee social media scraping will uncover the identity behind an unknown VoIP number, this technique provides a good starting point for your research. The more data points you can gather from different sources, the better equipped you‘ll be to make an informed hypothesis.

Considerations and Limitations

Before scraping social media data for VoIP numbers or any other purpose, it‘s crucial to keep some considerations in mind:

  • Respect the terms of service of any social media platforms you scrape. Some may prohibit scraping altogether.
  • Be mindful of any relevant data privacy laws, such as the GDPR or CCPA. Scraping personal information could run afoul of these regulations.
  • Exercise caution and critical thinking when drawing conclusions from scraped social data. Not all information posted on social media is accurate or reliable.
  • Keep in mind that snscrape, like any scraping tool, may sometimes experience bugs or fail to capture all relevant data. Results are not guaranteed to be 100% complete.
  • Consider the computing resources needed to scrape and process large volumes of social data. Adjust your scope accordingly.

It‘s also worth noting that while snscrape provides a powerful scraping capability, it is not the only tool at your disposal for looking up unknown VoIP numbers. Other methods you might consider include:

  • Conducting a reverse phone lookup using a web-based service or directory
  • Checking with the VoIP provider to see if they can share any subscriber information (though many will not disclose this for privacy reasons)
  • Entering the number into a search engine to see if any relevant webpages mention it
  • Contacting local law enforcement if you suspect the calls may be associated with criminal activity

Ultimately, investigating an unknown VoIP number may require a multi-pronged approach and a degree of persistence. Snscrape provides one valuable tool for unearthing potential clues within the vast trove of social media data.


In the digital age, mystery calls from unknown VoIP numbers have become an increasingly common annoyance. Because VoIP numbers are not tied to a physical location or device, identifying who is behind them can seem like an insurmountable challenge.

However, by harnessing the power of social media scraping with the snscrape library, you can gather valuable breadcrumbs that may lead to uncovering the source of these enigmatic calls. While not a silver bullet, this technique provides a good starting point for your research.

As you embark on your VoIP number sleuthing with snscrape, remember to:

  1. Cast a wide net by scraping multiple social networks for mentions of the number
  2. Filter and analyze the scraped data for clues like usernames, personal anecdotes, or patterns that could indicate a connection
  3. Respect terms of service and data privacy laws in your scraping activities
  4. Exercise caution and critical thinking when drawing conclusions from social media data
  5. Consider supplementing your snscrape research with other VoIP number lookup methods

By following these guidelines and leveraging the capabilities of the snscrape library, you‘ll be well-equipped to peel back the layers of mystery shrouding that unknown VoIP caller. While not every search will yield a definitive answer, this technique provides a powerful tool for your digital detective toolkit.