Can you Make Money from Web Scraping? – ParseHub
Web Scraping can unlock a lot of value by providing you access to web that mean that there is money to be made from that value? The simple answer is… of course! Offering web scraping services is a legitimate way to make some extra cash (or some serious cash if you work hard enough) are some ways you can use web scraping to make and sell a list of leadsEvery sale starts with a a result, all kinds of businesses around the world will spend thousands of dollars on high-quality lead the past, we’ve written about why no one should ever buy a list of emails. Mostly because it is often hard to guarantee that the leads you’re buying are by working closely with your client, you can earn their trust and follow our best practices for building high-quality lead a list of customers / leadsFollowing up on the previous idea, why not build the list for yourself? After all, we all have a talent or skill we can sell. From programming to guitar you can scrape a high-quality list of potential customers, you can start advertising and emailing them directly to targeting them social media ads via their Audience platforms, there are multiple ways you can scrape a list of leads and monetize you get those new clients / customers, you should have a workflow software to keep everything organized. You should have a checklist. From generating your list, to onboarding new clients. Here’s our in-depth guide on using a web scraper to build a high-quality leads data to build an appWhy not try your hand at app development? I know, this sounds quite intimidating. But with web scraping, you can scrape the data you need to build a simple app without the need for any coding example, let’s say you’d want to create a simple investment app that sends you an email one a stock hits a specific price. You can do so by following these simple guides:Here’s how to scrape stock price data from Yahoo FinanceHere’s how to export the results from your scrape on to a Google Sheet documentHere’s how to send an email notification based on the value of a cell on Google SheetsUncover market opportunitiesYou can use web scraping to identify market opportunities and gaps in product example, let’s assume you’ve scrape data on all bicycles being sold on your research, you have noticed that there’s a certain price range for which all products get low review example, bicycles priced within the $500 to $1000 price range all average about 3 stars in review scores. They also get tons of reviews, meaning that people are buying them but are not pleased with means there is a gap in the market for mid-range bicycles that can actually meet the customers’ ’ve just uncovered the demand for a new product or business idea! Does this sound like your cup of tea? Here’s how to scrape product data from Amazon with a web up paid web scraping gigsWhy not take on a real-world web scraping job? Yup, those are a ltiple companies often decide to outsource their web scraping jobs and can offer some pretty decent payouts for more complex jobs. A great place to start is UpWork, a platform that allows businesses to connect with freelancers and allows them to hire them for one-off ’s the UpWork search results page for “web scraping”Closing thoughtsAs you can see, there are numerous ways in which you can use web scraping to make haven’t uncovered every single one of them but we are sure you can probably think of even more ways to make money with web that you have all these ideas, it’s time to get scraping! Which Web Scraper Should you use? Now that you know how you can make money, you’ll need to decide which web scraper to choose. While there are several options are there, we think you’ll enjoy ParseHub! It’s free to download, easy to use, cloud-based scraping and many more. No need for a method of wnload ParseHub For FreeBetter yet, become a certified Web Scraping expert with our free courses! Enroll for free today and get your certificates!
What is Web Scraping and Why You Should Learn It? – KDnuggets
By Octoparse Sponsored Post.
What is web scraping?
It is the process of extracting information and data from a website, transforming the information on a webpage into structured data for further analysis. Web scraping is also known as web harvesting or web data extraction. With the overwhelming data available on the internet, web scraping has become the essential approach to aggregating Big Data sets.
So, why should you learn web scraping and who is doing web scraping out there? We are going to address this question by looking into the different industries and jobs that require web scraping skills. To do this, we’ve compiled and analyzed the data extracted from job sites, including Indeed, Glassdoor and LinkedIn.
At last, we also explored web scraping jobs in Google and YouTube, to find out how many jobs requiring web scraping skills and what are the other requirements, in addition to knowing web scraping.
Followings are our findings to share with you. You might be just as surprised as I was. If you are interested in the scraping process, you may want to check our GitHub Repositories to download the crawler, running them on Octoparse FREE app to get the data.
Finding 1: 54 Industries Are Requiring Web Scraping Masters
The statistics below are based on the information collected from LinkedIn. The top 10 industries that have the highest demand for web scraping skills are: Computer Software (22%); Information Technology and Services (21%); Financial Services (12%); Internet (11%); Marketing and Advertising (5%); Computer & Network Security (3%); Insurance (2%); Banking (2%); Management Consulting (2%); Online Media(2%).
Source: LinkedIn-Web Scraping Jobs in United States
The other industries include: Oil & Energy; Construction; Consumer Goods; Defense & Space; Staffing and Recruiting; Hospital & Health Care; Education Management; Nonprofit Organization Management; Pharmaceuticals; Publishing; Research; Electrical/Electronic Manufacturing; Government Administration…etc.
Finding 2: Non-tech Jobs are Requiring Web Scraping Skills
This is also based on the information on LinkedIn. There is no doubt that the most jobs requiring web scraping are tech-relevant ones, like Engineering, and Information Technology. There are, however, surprisingly many other kinds of works also require web scraping skills such as Human Resources, marketing, business development, research, sales and consulting.
Finding 3: Top 10 Best-Paying Jobs
Based on the information aggregated from Glassdoor, there is a big difference in salaries for various jobs, from $25K to $203K. Among all the jobs, senior data engineer and data scientist are the best paying jobs.
Source: Glassdoor- Web Scraping Jobs
(Data based on Glassdoor’s estimate of the base salary range for the job, which is not necessarily endorsed by the employer. ）
Among all the jobs information we collected, the least paying jobs are: Political Reporter and Junior Recruiter, which is starting from $25K and $29K.
Finding 4: Top 10 Best Paying Industries
We also explore on the average paying among different industries, based on the same dataset extracted from Glassdoor.
Finding 5: Web Scraping Skill Required in Tech Company (Google as an example)
Before we jump into a conclusion of all the findings, we also extracted all the web scraping related job posts from the tech Giant – Google, since it’s pretty obvious that software and Information Technology Company are the biggest markets for web scraping experts.
YouTube, a subsidiary of Google, is another example of a tech company of different size and service than Google while also requiring a high level of web scraping skills in different job categories.
Unlike Google, in YouTube, the top 5 Job categories requiring web scraping experts are: Marketing & Communication; Software Engineering, Partnerships, Product & Customer Support, and the last, Business Strategy.
It is safe to say that web scraping has become an essential skill to acquire in today’s digital world, not only for tech companies and not only for technical positions. On one side, compiling large datasets are fundamental to Big Data analytics, Machine Learning, and Artificial Intelligence; on the other side, with the explosion of digital information, Big Data is becoming much easier to access than ever.
With web scraping automation tool becoming “smarter” and popular, even people with no programming background can easily apply web scraping for aggregating all sorts of data, empowering their business & work with the insights from Big Data.
If you wish to learn about web scraping but does not want to deal with Python or other programming languages, Octoparse| Free automatic web scraper, may be a good option for you to get started.
Original. Reposted with permission.
Octoparse V7 Review
Octoparse has recently launched a brand new version 7. 0, which has turned out to be the most revolutionary upgrade in the past two years. With not only a more user-friendly UI, but also some of the advanced features making web scraping even easier. The Octoparse Version 7 is a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders.
How To Make Money, Using Web Scraping – DataDrivenInvestor
I’m going to show you 3 unique ways to make money, using Web ScrapingDid you know what your reading right now is data? It may just seem like a few words to you but on the back end, everything you read online is data that can be taken, picked apart, and manipulated with. Simplified this is what a Web Scraper is. They go through the code that was created to make a website (HTML code) or database and take the data they want. Virtually any website can be scraped. Some sites do involve measures that stop these scrapers from taking their data, but if your good enough you can essentially scrape 99% of websites you didn’t know what a Web Scraper is, well now you have an idea and we can get to the point of why your reading this article. Money. Web Scraping can be a unique way to make money that isn’t as difficult as it sounds. In fact all the methods and examples I’m going to show you took less than 50 lines of code to make and can be learned in only a couple of with that said let me show you… 1. Creating BotsA bot is just a technical term for a program that does a specific action. Depending what you make this action to be, you can sell it to those who don’t have the technical abilities to make it show how you can create a bot and sell it, I created an Airbnb bot. This bot allows the user to input a location and it will return all the houses that Airbnb offers at that location including the price, rating, number of guests allowed, bedrooms, beds, and baths. All of this being done by web scraping the data of each posting on the Airbnb demonstrate the bot in action I’m going to input a location. Lets say I want to search for Airbnb’s in Rome, Italy. I simply input Rome into the bot, and it returns 272 unique Airbnb’s within seconds in an organized excel is now much easier to see all the houses/features and their comparisons to other postings. It is also much easier to filter through. I live in a family of 4 and if we were to go to Rome we would look for an Airbnb with at least 2 beds at a decent price. Now with this clean organized spreadsheet, excel makes it extremely easy to filter to match my needs. And out of 272 results 7 returned with my matching these 7 the one I would pick is the Vatican Daniel, it has a very good rating and is cheapest out of the 7 with a cost of $61 per night. So after I pick the one I want, I would simply copy the link of the posting into a browser and book it then. Looking for places to stay can be an extremly daunting task when going on vacation, I’m sure most of us have felt that at one time or another. Because of this there are those that are willing to pay just to make this process easier. With this bot I made the process easier. You just saw me book a room with all my matching needs at a good price within 5 me people are willing to pay to make their lives just a bit easier. 2. ResellingOne of the most common uses of web scraping, is getting prices off websites. There are those who create web scraping programs that run everyday and return the price of a specific product, and when the price drops to a certain amount the program will automatically buy the product before its sold out. Then since the demand for the product will be higher than the supply they resell the product at a higher price to make a profit. This is just one example of the many reselling tactics that web scrapers use. Another one which I will show you an example of can save you a lot of money and make a lot for you retail website has limited deals and sales, where they will display the original price and the sale price. But what they don’t do is show how much is actually discounted off the original price. For example if a watch originally costs $350 and the sale price is $300 you would think $50 off would be a lot of money but it’s actually only a 14. 2% discount. Now if a T-shirt originally costs $50 and the sale price is $40, you might see $10 being not that much off the original price, but in fact the discount is larger than the watch at 20%. Therefore you can save/make money by buying the products with the highest discounted Hudson’s’ Bay, a department store that has numerous of sales on all kinds of brands, were going to use web scraping to get the original and sale price of all the products and find the product with the highest scraping the website it returned over 900 products and as you can see there is only 1 product out of the 900 with over a 50% discount. That would be the Perry Ellis Solid Non-Iron Dress sale price is only a limited time offer, so the price for this shirt will eventually go back up to around $90. So if I were to buy it now at $40 than sell it at $30 below its original at $60 when the limited sale ends, I would still make a profit of $ is a method where if you find the right niche to do this is in, there is a potential to make a large amount of money. 3. Selling DataThere are millions of datasets online that are free and accessible to everyone. This data is often easily gathered and thereby offered to anyone who wants to use them. On the other hand some data is not as easy to get, and takes either time or a lot of work to put in a nice clean dataset. This has become the evolution of selling data. There are companies that focus on getting data that may be hard to obtain and structuring that data into a nice clean spreadsheet or dashboard that others can use at a certain gDataBall is a sports data website that sells player logs, play-by-play data, and other stats at a price of $30 for a single seasons worth of data. The reason they can ask for this price is not because there the only ones that have this data, but there one of the only websites out there that offer this data in a very structured and clean dashboard that is easy to what I’m going to do is get the same data as BigDataBall has for free and I’m going to put it into a structured dataset like the ones I did I said before they aren’t the only ones with this type of data. has all the same data but its not structured meaning its data is all over the place and hard to read, and you simply cannot just download the dataset you want. This is where web scraping comes in. I’m going to web scrape the website of all the players logs for each game and put it into a structured dataset like ructured Dataset of all the NBA Player LogsAfter web scraping we got over 16000 player logs for the season so far. You can see why this data in a nice clean format can be monetized, because no one in their right mind would manually get 16000 logs of data and put it into their own dataset. But with the help of web scraping we were able to get this data in a couple of minutes and save ourselves $edless to say though you can do what BigDataBall does. Find data that is hard to obtain manually, let your computer do the work, and than sell it to those interested in having that data in a structured a world where everyone wants to make money, Web Scraping has become a very unique and new way to make money on the side. Where if you apply it to the right situations it can make you a ton of money, and it is easier to do than most people you’re interested in learning more about Web Scraping and how to do all the examples I showed above, I’ll leave a link to my course below that teaches you all the necessary tools you need to create your own web scraping projects.
Frequently Asked Questions about how to make money with web scraping
How much do web scrapers make?
While ZipRecruiter is seeing annual salaries as high as $143,000 and as low as $27,500, the majority of Web Scraping salaries currently range between $60,000 (25th percentile) to $104,000 (75th percentile) with top earners (90th percentile) making $131,500 annually across the United States.
Is web scraping a job?
There is no doubt that the most jobs requiring web scraping are tech-relevant ones, like Engineering, and Information Technology. There are, however, surprisingly many other kinds of works also require web scraping skills such as Human Resources, marketing, business development, research, sales and consulting.