Skip to main content

10 Tips for Creating Facebook Ads That Get Clicks

In the dynamic world of digital marketing, Facebook remains a powerhouse for businesses aiming to reach a vast audience. Crafting Facebook ads that not only catch the eye but also drive clicks is an art that requires strategy, creativity, and a deep understanding of your target audience. In this comprehensive guide, we'll explore ten invaluable tips to help you create compelling Facebook ads that get the clicks your brand deserves. 1. Know Your Audience Inside Out Before you dive into the creative process, it's essential to understand your target audience. Who are they? What are their interests, behaviors, and demographics? Use Facebook's robust audience targeting features to ensure your ads reach the right people. Tailoring your message to resonate with your audience is the first step in creating ads that entice clicks. 2. Craft Captivating Visuals The visual component of your Facebook ad is often the first thing users notice. Invest time in creating eye-catching and high-...

The Ultimate Guide to Legal and Ethical Web Scraping in 2022

 


The popularity of web scraping is growing at such an accelerated pace these days. Nowadays not everyone has technical knowledge of web scraping and they use APIs like news API to fetch news, blog APIs to fetch blog-related data, etc.

As web scraping is growing, it would be almost impossible not to get cross answers when the big question arises: is it legal?

If you are browsing the internet for a legit answer that best suits your needs, you have come to the right place. minimize the risks.

Spoiler alert: the question of whether web scraping is legal or not has no unequivocal and definitive answer. This answer depends on many factors and some may vary depending on the laws and regulations of the country.

But first, let’s briefly define what web scraping is for those unfamiliar with the concept before we dive deeper into the legalities.

Web Scraping is the automated art of collecting and organizing public information available on the Internet. The result is usually a structured composition stored in a table of contents as an Excel spreadsheet, which displays the extracted data in a “readable” format.

This practice requires a software agent that automatically downloads the desired information by mimicking your browser’s interaction. This “robot” can access multiple pages at the same time, saving you from wasting valuable time copying and pasting data.

To do this, the web scraper sends many more requests per second than any other human being could. That said, your scraping engine must remain anonymous to avoid detection and blocking. If you want to learn more about how to avoid getting left behind on the data side, I recommend reading this article before choosing a web scraping provider.

Now that we have an overview of what a web scraping tool can do, let’s find out how to use it and keep you sleeping soundly at night.

Using a web scraper to collect data from the Internet is not a criminal act in and of itself. Many times, scraping a website is perfectly legal, but the way you intend to use that data may be illegal.

Several factors, depending on the situation, determine the legality of the process.

  • The kind of data are you scraping
  • What do you want to do with the scraped data?
  • How you manage to collect the data from the website

Let’s talk about different types of data and how to handle them gracefully.

Because data such as rainfall or temperature measurements, demographic statistics, prices, and ratings are not protected by copyright, they appear to be perfectly legal to scrape. It is also not personal information. However, if the source of the information is owned by a website whose terms and conditions prohibit scraping, you may be in trouble.

So, to better understand how to scrape smartly, let’s look at each of the two types of sensitive data:

  • Personal Data
  • Copyrighted Data

Personal Data

Any type of data that could be used to identify a specific individual is considered personal data (PII in more technical terms).

One of the hottest topics of discussion in today’s business world is the General Data Protection Regulation. The GDPR is the legislative mechanism that establishes the rules for the collection and processing of personal data of European Union (EU) citizens.

As a general rule, it is recommended that you have a legitimate reason for obtaining, storing, and using your personal data without your consent.

The vast majority of the time, businesses use web scraping techniques to collect data for lead generation, sales insights, and similar issues. This purpose is generally not compatible with any of these legitimate reasons, such as official authority, where personal data can be accessed without any consent if it is a matter of public interest.

Keep in mind: You are more likely to scratch legally safe if you avoid mining personal data (if we are talking about EU or California citizens).

Copyrighted data

Data is king. And every king has guards on duty to protect him. And one of the most ruthless soldiers in this scenario is Copyright. This prohibits you from scratching, storing, and/or reproducing data without the consent of the author.

As with copyrighted photographs and music, the mere fact that data is publicly available on the Internet does not automatically imply that it is legal to extract it without the owner’s permission. Companies and individuals who own copyrighted data have a specific power over its reuse and capture.

Data generally strongly protected by copyright are Copyrighted data like Music, Article, Photos, Databases, Articles

An observation: Scraping copyrighted data is not illegal as long as you do not intend to reuse or publish it.

Do you remember that box you have to check every time you create an account? Because the box remembers you. And if somehow you manage to scrape a website that clearly forbids using automated engines to access their content, you can get in trouble.

Terms of service translate intro: the legal agreements between a service provider (a website) and the person who uses that service (to access its information). Hence, the user must accept the terms and conditions if he wants to use the website.

Data Scraping is something that has to be done responsibly. So it’s better for you to review the Terms and Conditions before scraping a website.

1. Check the Robots.txt file

In the past, as the Internet was learning its first words, developers had already discovered a way to scrape, crawl, and index fledgling pages.

These skilled children for such operations are nicknamed “robots” or “spiders” and sometimes sneak into websites that were not intended to be crawled or indexed. Aliweb, the inventor of the world’s first search engine, came up with a solution: a set of rules that every robot should obey.

To help ground the definition, a Robots.txt is a text file in the root directory of a website intended to tell web crawlers how to crawl pages.

So for smooth scratching, you need to carefully follow and check the rules of Robots.txt. There’s a little trick that can help you peek behind the scenes of a website: type robots.txt at the end of any URL (https://www.example.com/robots .txt)

However, if Terms of Service or Robots.txt clearly interferes with content retrieval, you must first obtain written permission from the website owner before you begin to collect their data.

2. Defend your web scraping identity

If you’re scraping the web for marketing purposes, anonymization is the first step you can take to protect yourself. A pattern of repeated and consistent requests sent from the same IP address can set off a slew of alarms. Websites can tell the difference between web crawlers and real users by tracking a browser’s activity, checking the IP address, installing honeypots, attaching CAPTCHAs, or even limiting the request rate.

To name a few, there are several ways to safeguard your identity:

  • A strong proxy pool
  • Use rotating proxies
  • Use residential IPs
  • Take Anti-fingerprinting measures

3. Don’t get greedy — only collect what you need

Companies frequently abuse the power of a web scraper by gathering as much data as possible. That’s because they believe it will be useful in the future, but data, in most cases, have an expiry date.

4. Check for copyright violations

Because the data on some websites may be protected by copyright, it’s a good idea to look for a proprietary warrant before you start scraping.

Make certain that you do not reuse or republish the scraped data’s content without first checking the website’s license or obtaining written permission from the data’s copyright holder.

5. Extract public data only

If you want to sleep well at night, we recommend only using public data harvesting. If the desired content is confidential, you must obtain permission from the site’s source.

Best practices for scraping

  • Check the Robot.txt file
  • Defend your identity
  • Collect only what you need
  • Check for copyright violations
  • Extract public data only

So there you have it: we’ve covered all of the major points that will determine whether your web scraping is legal or not. In the vast majority of cases, what businesses want to scrape is completely honest if the rules and ethics allow it.

However, I recommend that you always double-check by asking yourself the following three questions:

  1. Is the data protected by Copyright?
  2. Am I scraping personal data?
  3. Am I violating the Terms and Conditions?

If you answer NO to all of these questions, congratulations: you are legally free to web scrape.

Just make sure to strike the right balance between gathering all of the necessary information and adhering to the website’s rules and regulations.

Also, keep in mind that the primary goal of harvested data is to be analyzed rather than republished.

Comments

Popular posts from this blog

The News API's distinguishing features

  The Internet receives news every minute continuously. In fact, many of the news articles are original, some of them from social media. However, many posts with minor improvements come from other news sources. A news article comprises various attributes, metadata, etc. entities, keywords. It is also written from the perspective of different types of feelings and intentions. So what is needed is a  news API  that can pull events, headlines, articles, and other major news sources in a structured format for your users to use. Likewise, NLP d e velopers, data scientists, researchers, and engineers require  News API s. In addition, the News API is complemented by text analytics that can track valuable message information such as keyword extraction, speech recognition, entity recognition, and so on. Now let’s get to know the top 5 news APIs of 2021 and discuss their technical attributes and most important endpoints. 1. Newsdata.io News API Newsdata.io  has grown into...

How To Get More From Your Global News API

  These days the  SaaS  market is booming and it is going to go even further in the near future. There are many SaaS-based products being developed these days like  Newsdata.io  which is a  news API  with that you can get all the worldwide news data in a few clicks, now you don’t need to visit each and every news website to scrape their data. This is the power of Saas-based products. People are creating web and mobile applications by using these SaaS products. In this article, we’ll discuss the top global news API for your next news-related products. What is an API? API is an abbreviation for Application Programming Interface. It is a software interface that allows two applications to communicate with one another without the need for user intervention. APIs enable a product or service to communicate with other products and services without requiring knowledge of how they are implemented. It facilitates communication between the provider and the client....

Top 20 news datasets available on the web for free

  Digital news sources have flourished at an extraordinary rate, ranging from a handful of digital news posts to many digital news sources and publications. This is because news posts now cover a wide range of issues and events, increasing their reach. These publications not only represent the world but also change and shape our perception of it. Storing news data is now common due to the  h igh demand for instant access to historical news data, for which people commonly use the  News API . These  news datasets  can be useful for research purposes and for personal and professional artificial intelligence (AI) and machine learning (ML). If you are looking for historical news data to power your AI and ML algorithms, you can use these free news datasets or the Newsdata.io tool which I will mention below. News datasets can help you find a wide range of historical stories related to any topic, organization, person, and more. In this article, we will discuss a simple ...