Instadata https://demo.instadata.works/ Thu, 10 Aug 2023 04:00:51 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://demo.instadata.works/wp-content/uploads/2022/02/INSTADATA-.WORKS-6-150x150.png Instadata https://demo.instadata.works/ 32 32 Which is better – scraping products or scraping services https://demo.instadata.works/which-is-better-scraping-products-or-scraping-services/ https://demo.instadata.works/which-is-better-scraping-products-or-scraping-services/#respond Fri, 02 Sep 2022 16:43:59 +0000 https://instadata.works/?p=5268 Which is better - scraping products or scraping services Ever wondered which is better - data scraping products or scraping services? Data scraping products are software that is specifically designed to extract useful information from websites. A web scraping service, on the other hand, entails...

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Which is better - scraping products or scraping services

WhatsApp Image 2022-09-02 at 10.10.47 PM

Ever wondered which is better – data scraping products or scraping services?

 

Data scraping products are software that is specifically designed to extract useful information from websites. A web scraping service, on the other hand, entails hiring a professional agency to meet your needs.

 

Although data scraping tools are simple to use and inexpensive, they may have reliability and accuracy issues. 

 

A company cannot afford to rely on incorrect or inaccurate data. Minor inaccuracies, when compounded, can lead to poor decisions.

 

Skilled and trustable web scraping services can help you obtain reliable and accurate data that will help your business grow.

 

Furthermore, data scraping tools cannot be tailored to your specific needs. They are designed for fixed jobs and will not be able to meet your constantly changing demands. 

 

A web scraping service, on the other hand, will be a one-stop shop for all of your requirements. You simply need to request the type of data you need and the data delivery format. A web scraping service will handle it and ensure on-time delivery.

 

Every website is different when it comes to web scraping. Many websites are specifically designed to prevent crawlers from scraping their content for data. 

 

Most scraping software assumes a specific type of data flow or a limited number of data flow complications, limiting its capabilities. 

 

This means that even the best scraping software will not provide you with the flexibility or ability to scrape every website! It is critical to understand the data flow and elements used for scraping the required data from a particular website, which can only be done with the help of a good data scraping service.

 

Also, data scraping services are less costly if you have regular scraping needs, whereas products are cost-effective only for one-time scraping. 

 

Furthermore, because privacy and data protection are primary concerns in the world of the internet, a secure web scraping service would protect your customers’ privacy as well as valuable business data.

 

The software also becomes obsolete quickly and necessitates costly upgrades. It also breaks down easily. In contrast, there is regular maintenance and support from skilled professionals when you use a good data scraping service. 

 

Real-time data can be extracted using code and used directly in your project by experienced coders who work according to your specific requirements! 

 

A web scraping service is what you should choose if you want to save time and get the best return on your investment. 

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Best Practices for Web Scraping https://demo.instadata.works/best-practices-for-web-scraping/ https://demo.instadata.works/best-practices-for-web-scraping/#respond Mon, 29 Aug 2022 11:11:49 +0000 https://instadata.works/?p=5254 Best Practices for Web Scraping What exactly is web scraping? Web scraping is the process of crawling various websites and extracting the necessary data using spiders. This data is processed and stored in a structured format using a data pipeline. Nowadays, net scraping is popular...

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Best Practices for Web Scraping

What exactly is web scraping?

 

Web scraping is the process of crawling various websites and extracting the necessary data using spiders. This data is processed and stored in a structured format using a data pipeline. Nowadays, net scraping is popular and has a wide range of applications.

 

Best Ways to Scrape Data from a Website

 

The best way to scrape data from a website is determined by who is doing the scraping:

 

It is recommended that you develop your own scraper if you are a programmer with sufficient knowledge of programming languages. It will allow you to customize your scrapers according to your needs.

 

Most advanced Python coders would prefer to scrape data from a website using Selenium.

 

Other, less experienced coders would most likely use Scrapy, a simpler Python framework.

 

There are numerous other custom libraries available for web data scraping, such as BeautifulSoup, Nutch, and others.

 

Non-coders, on the other hand, should use no-code or low-code web scraping solutions that require only a basic set-up and use templates for the most popular websites to scrape data from a website.

 

Octoparse, Bright Data Collector, and Parsehub are examples of such web scraping solutions.

 

 These tools simply require you to enter a search term or URL and then send the data to you in your preferred file format.

 

Browser extensions for small-scale use cases are an even simpler version of the above low-code solutions (scraping one page at a time).

 

Best Web Scraping Practices

 

When it comes to web scraping, you want to avoid irritating the website owner as much as possible.

 

Site owners can allow ethical scrapers with a little respect and keep the good thing going.

 

The following are the main principles for ethical web scraping:

 

Keep the robots.txt file in mind:

 

Robots.txt is a text file that webmasters use to instruct search engine spiders on how to crawl and index pages on their sites.

 

Crawler instructions are typically included in this document. You must first evaluate this document before planning the extraction logic.

 

This document is usually obtained from the website administration department. It contains all of the rules that govern how crawlers must interact with the website.

 

For example, if a website contains a link to vital information, it is likely that the site owner does not want visitors to see it.

 

Another critical factor is the crawling frequency period, which means crawlers can simply visit the site at designated intervals.

 

If a person requests that we not crawl their website, we do not do so. Because if they capture your crawlers, you could face serious legal consequences.

 

Don’t overload the servers.

 

As previously stated, some sites will set a frequency for crawlers. We use it sparingly because not every site is tested for high loads.

 

If you hit a continuous interval, the server generates a lot of traffic and may crash or fail to serve other orders.

 

To avoid being confused with DDoS attackers, make sure you request data at a reasonable rate.

 

Try and create orders based on the specified period in robots.txt or use a standard delay of 10 minutes. This also prevents you from being blocked by the target site.

 

Spoofing and User Agent Rotation

 

Every request contains the User-Agent string from the header. This series can assist you in determining the browser you’re using, as well as its version and stage.

 

If we use the same User-Agent in each petition, the target site can easily determine that the petition is coming from a crawler.

 

As a result, to avoid this, they attempt to rotate the user and agent involved in the requests.

 

You can easily find examples of real User-Agent strings on the internet; try them out. If you’re using Scrapy, you can add a user agent to the home.

 

Proxies That Rotate

 

When web scraping, it is always a good idea to use rotating IPs/proxies because it helps achieve more efficient results.

 

ProxyAqua provides dependable and reasonably priced proxies.

 

Don’t use the same crawling routine every time.

 

As you may be aware, many websites now employ anti-scraping technology, making it simple for them to identify your spider if it crawls in the same pattern.

 

Generally, you should not follow a blueprint on a specific site. 

 

So, to make your spiders run smoothly, you could present actions such as mouse motions, clicking a random connection, etc. 

 

These will give the impression that your spider is an individual.

 

Scrape during non-peak times.

 

It is acceptable for bots/crawlers to scrape during off-peak hours because the number of visitors to the site is much lower.

 

These hours could be determined by the geolocation of the website’s traffic.

 

This also aids in improving the crawling rate and preventing the excessive load from spider requests.

 

As a result, it makes sense to schedule the crawlers to operate during off-peak hours.

 

Have decency when using the scraped data

 

Respect the data and don’t claim it as your own.

 

Scrap in order to create new value from the data rather than duplicate it.

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Web Scraping – Legal or Illegal? https://demo.instadata.works/web-scraping-legal-or-illegal/ https://demo.instadata.works/web-scraping-legal-or-illegal/#respond Fri, 26 Aug 2022 16:19:55 +0000 https://instadata.works/?p=5233 Web Scraping - Legal Or Illegal? What is Web Scraping? Web scraping is the technique for extracting large amounts of information from target websites. The extracted data can then be saved to a local file or spreadsheet format on our system. Web data scraping can...

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Web Scraping - Legal Or Illegal?

What is Web Scraping?

 

Web scraping is the technique for extracting large amounts of information from target websites. 

 

The extracted data can then be saved to a local file or spreadsheet format on our system. 

 

Web data scraping can be used for information retrieval, data mining, and other tasks that involve the processing of large amounts of data.

 

The Legality Dilemma

 

Web scraping can assume diverse meanings, a few of which may have legal implications.

 

It gives users such easy access to data that it is natural to be concerned about the potential misuse or abuse of the information gathered via web scraping.

 

As a result, it is critical to identify the legal risks associated with web scraping to reduce the likelihood of legal controversies.

 

For example, some may argue that most data scraping is unethical because it’s unethical to profit from someone else’s creative work. 

 

Scraping and republishing original content is usually a copyright violation in some countries. 

 

Many web scraping bots scrape and “spin” content, churning out garbage that clogs search engine results and doesn’t add any value to the internet. 

 

On the other hand, collecting information published on the internet and using it for specific business or professional purposes may not infringe on any laws or intellectual property rights.

 

So is Scraping Unethical?

 

There is no denying that web scraping for business is now commonplace, but the legality of web scraping remains contentious.

 

It isn’t prohibited, but it isn’t clearly allowed. 

 

For all practical purposes, whether scraping is ethical or not depends on the website, the data you are scraping, what you intend to do with the data, and your location.

 

Most websites include robots.txt files that tell bots which data should not be scraped.

 

Some websites include more human-readable guidance in their terms and conditions.

 

Some data, such as personal information, is protected by the law and hence is prohibited from scraping.

 

The legality of web data scraping is also dependent on how you intend to use the data and is generally guided by a principle known as “fair use of data.”

 

Benefit of Doubt

 

Web scraping has been guided for nearly a decade by a set of related, fundamental legal theories and laws, such as:

 

  • Infringement of Intellectual Property 
  • Breach of contract
  • Violation of the Computer Fraud and Abuse Act (CFAA)
  • Trespass against chattels

 

Scraping frequently contravenes the Terms of Service of the target website. The Terms of Service of established data-heavy sites almost always forbid data scraping. 

 

Now, violating these Terms of service does not constitute criminal behavior.  However, it does mean that the website may be eligible to sue you for breach of contract.

 

Secondly, copyright may be violated if you publish scraped content. Depending on what the scraped content is and what you do with it, you may be infringing on the rights of the copyright holder. 

 

The facts themselves are not protected by copyright, but their innovative expression is.

 

If you use only segments of someone else’s creative expression in a way that adds value and is not a plain restatement, you may be able to rely on the “fair use” defense.

 

But then, fair use is always subject to interpretation, so there is never a hard and fast rule.

 

The Bottom Line

 

Scraping forms the foundation of the world wide web.

 

Google and Bing operate solely through web scraping.

 

The entire news aggregation system is scraped.

 

When you share a link or an image on Facebook, the data surrounding it is scraped.

 

Without web scraping, the world wide web would be non-existent; it would never have grown to the magnitude it is today.

 

And let’s face it, it’s the internet!

 

If you have made content public, you should be prepared for it to be replicated.

 

So the bottom line is:

 

Any type of scraped data is legal, but if you violate the data privacy of a data-protected website to scrape and misuse data, you may be breaking the law.

 

Most countries’ laws regarding web scraping are still vague.

 

However, with the implementation of GDPR, an increasing number of people are realizing the importance of adhering to legal standards before embarking on a scraping project to avoid getting into legal hot soup. 

 

International legal circumstances vary greatly, which is why you may be required to follow your country’s rules.

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Extracting data from the increasingly complex financial sector https://demo.instadata.works/extracting-data-from-the-increasingly-complex-financial-sector/ https://demo.instadata.works/extracting-data-from-the-increasingly-complex-financial-sector/#respond Sat, 23 Jul 2022 12:48:31 +0000 https://instadata.works/?p=4548 Extracting data from the increasingly complex financial sector Background- Web scraping is used by every business to gather data and extract useful information from it. Nowadays, it's quite typical to make decisions on data, and the web is the best resource for regularly updated data....

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Extracting data from the increasingly complex financial sector

Background-

 

Web scraping is used by every business to gather data and extract useful information from it. Nowadays, it’s quite typical to make decisions on data, and the web is the best resource for regularly updated data. It doesn’t matter if it’s market research for the news media, for retail, for manufacturing, or even for keeping an eye on the financial industry. Web scrapers are helping big data and data science in all industries today. When it comes to the financial industry, the range of web scraper services is incredibly extensive. Including looking at websites, researching a company’s past, and gathering news media stories. To obtain a more detailed analysis of the stock values, become a follower of Yahoo Finance.

 

News and other sources for financial data can have a huge impact on the day to day stock prices and financing of companies. Keeping track of these sentiments and constantly changing information can be next to impossible.

 

Therefore, a better strategy would be to compile a list of the companies you want to keep an eye on and send it to a web scraping engine. The scraper can look for the names of the companies or any other pertinent information on the web. This could lead you to both breaking news that will be widely reported on and even little news items that might be missed yet have a big impact on the investing environment. When machine learning algorithms are used on the data, useful information is extracted from it. You can also develop prediction models utilising past data to predict the direction of the market.

Stock market data is one of the most sought-after sorts of data, and you can acquire it from a number of service providers. Customers often pay to use the APIs if they want to access the data through them. Let’s imagine you don’t require millisecond-level precision. However, you might develop models using historical data or gather data over a long period of time if you’re interested in better understanding stock values. That is the circumstance. The data, which displays prices for multiple stocks in numerous markets, is simply accessible.


Limitations-

 

Financial markets don’t follow any set of laws, even if some patterns can be seen if you examine data over a long period of time, perhaps 25 to 30 years or more. While historical information can help with decision-making in many circumstances. The prevailing socioeconomic and political forces may bias the predictions. The market’s present driving factors were never proven until much later. But your chances of understanding the market increase as your knowledge increases. When it comes to limitations, it’s critical to remember that there are some moral principles to uphold when scraping the web for financial information. If a website’s robot.txt forbids it, it is best to avoid scraping certain webpages. Furthermore, even if you scrape data from websites that display financial data. The data you collect cannot be used to produce products that directly compete with the websites from which you are collecting the data.

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Why Web Scraping? https://demo.instadata.works/why-web-scraping/ https://demo.instadata.works/why-web-scraping/#respond Fri, 22 Jul 2022 16:28:48 +0000 https://instadata.works/?p=4533 Why Web Scraping? Web scraping is now an essential part of businesses. It has developed into a powerful instrument that supports the expansion of business intelligence in your organisation. Let's look at how AI-driven web scraping can benefit your business.   Web scrapers are computer...

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Why Web Scraping?

Web scraping is now an essential part of businesses. It has developed into a powerful instrument that supports the expansion of business intelligence in your organisation. Let’s look at how AI-driven web scraping can benefit your business.

 

Web scrapers are computer programmes that “scrape” or extract information from websites. You can view the Hypertext Markup Language (HTML) encoding of a web page’s structure and content by utilising the “view source” or “inspect element” functions of your browser. A scraper can parse HTML, take data from it, and comprehend it. You can build your scraper to download documents that are linked on the website or extract certain fields of data from an online table.

 

Businesses of today rely on data to aid in decision-making. However, compiling such massive amounts of data is a challenging undertaking. Since obtaining industry knowledge and insights can be prohibitively expensive for small organisations, further data analysis compounds the complexity even further. Manual data collecting is time-consuming and difficult. It utilizes priceless resources that may be put to better use.

 

Even large corporations are adopting AI technology to improve their financial performance, including Salesforce, Amazon, Google, Microsoft, and IBM. The incorporation of AI benefits into your company’s initiatives can be profitable owing to a knowledgeable team of AI engineers. Recent advancements in AI technology have increased the value of web scraping because they enable sales and marketing teams to automate laborious tasks, acquire data more efficiently, and gain deeper insight into prospects and leads.

 

Web scraping allows businesses to get information from millions of websites. The following are the key benefits of using AI-driven web scraping:

 

1. Accuracy of information
2. Highspeed data gathering
3. Saves time

 

Want to know more about how web scraping can improve your business? Reach out to us!

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How can web data support your dynamic pricing strategy? https://demo.instadata.works/how-can-web-data-support-your-dynamic-pricing-strategy/ https://demo.instadata.works/how-can-web-data-support-your-dynamic-pricing-strategy/#respond Tue, 07 Jun 2022 10:13:28 +0000 https://instadata.works/?p=4358 How can web data support your dynamic pricing strategy? Dynamic pricing is an excellent tool for organisations, particularly those involved in e-commerce. Many large corporations now utilise web-extracted pricing data to develop pricing plans, respond to price fluctuations, detect MAP violations, and evaluate consumer feedback....

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How can web data support your dynamic pricing strategy?

Dynamic pricing is an excellent tool for organisations, particularly those involved in e-commerce. Many large corporations now utilise web-extracted pricing data to develop pricing plans, respond to price fluctuations, detect MAP violations, and evaluate consumer feedback. Adding dynamic pricing to that may provide a variety of benefits such as keeping up with the competition, rapidly modifying prices, and conveniently recording quantitative information about your items to increase revenue.

 

Using dynamic pricing makes perfect sense for your company’s bottom line.

 

If you want to learn more about dynamic pricing and how to maximise its potential, I’m putting together this basic tutorial about dynamic pricing and how to maximise its potential.

 

What exactly is dynamic pricing?

 

Dynamic pricing is a pricing technique in which the same product is sold at varying prices to different groups of people and/or at different periods. It is based on changeable prices as opposed to set prices.

 

By merging rival price data with internal data to generate automatic pricing choices, dynamic pricing elevates competitive intelligence to the next level. This enables businesses to be proactive and alter their price on a regular basis in reaction to real-time demand, supply, and competitive benchmarks.

 

Companies modify their rates many times every day based on variables such as shifting market trends, competition prices, and demand. This method provides businesses with the combined benefit of growing sales while also improving profitability.

 

What do you need to create a dynamic pricing plan that will keep you ahead of your competitors?

 

To flourish in a fast-paced market, you’ll need to build your pricing plans in a data-driven and agile manner, allowing you to respond quickly and remain ahead of the competition.

 

However, if you want to stay ahead of the curve, you’ll need data in real-time and at scale.

 

You won’t be able to manually monitor hundreds of competitors every few minutes in an ever-changing market. It would be far too time-consuming, costly, and impractical.

 

Web-extracted price data is the solution.

 

All you have to do now is identify your competitors and set up web scrapers to collect price data every few minutes.

 

If you need assistance with your data extraction project or would want to leave the data extraction to professionals and focus entirely on strategic pricing choices, please contact us.

 

Instadata.works specialises in offering unique price data that is specifically designed to make your revenue operations simple and efficient by supplying product and pricing datasets from merchant sites and marketplaces of your choosing. Quickly and consistently.

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