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Web Scraping 101: A Million Dollar Project Idea
- April 21, 2024
- Posted by: MainInstructor
- Category: Learning Tutorials Programming Languages Python Repositories
Video Title: Web Scraping 101: A Million Dollar Project Idea
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Let me know any web scraping project ideas you have!
Sign up for @BrightData here and get $15 in FREE credit! https://brdta.com/techwithtim.
so whole video is just ad for proxy provider
haha all us old school php devs coming out of the works, still doing this 😂
Thanks for this video. How did you bypass Playwright default timeout? It sees that Playwright has a default timeout of 3000ms regardless of setting await in line 106 to 60000 or even Wait=commit
this video is the reason removing the dislike button was a bad idea
Just watched this vid about web scraping and got hit with a million-dollar project idea! Thinking of using Proxy-Store's proxies for it. Anyone else got big plans in the works?
Can u use no code like bubble for this
good day tim, i just want to mention and ask permission that i will extend this base code. for now i made a private repo and soon on the right time i will make it public and will credit you. thanks
Hey Tim, you always have amazing content. Keep it up! Greetings from Italy!
Just wondering haven't played with the program yet. But does the program also record prices differences if items have multiple versions example Red rain coat vs the same rain coat but it's Blue and cost $1 more.
appreciated brother. I was actually building something very similar but yours is definitely better build. Do you recommend against doing this in Javascript ?
Zeus Proxy ensures anonymity and privacy while performing SEO tasks, enhancing security and reliability.
My account on bright data go suspended for no reason lol
I need to do it with more than 5000+ products and also need description and price and etc how can I do it
by their reputation I wouldn't be surprised if that "browser" of theirs is not a proxy gateway.
Consider working on web scraping projects to tap into multi-billion dollar industries like travel, e-commerce, healthcare, and real estate. 0:00
Utilize real-time data to gain a competitive edge in pricing and stock availability for businesses like dropshipping and e-commerce. 0:22
Build a web scraper to overcome the limitations of APIs provided by companies, such as rate limiting and outdated information. 1:14
Use popular frameworks such as Playwright or Selenium to set up an efficient web scraper. 1:45
Overcome web scraping challenges like IP address blocking and CAPTCHAs by using services like Bright Data to unblock your browser and automatically solve CAPTCHAs. 2:15
Scale your web scraping project by running hundreds of instances of your scraper simultaneously with the help of cloud-based solutions. 3:11
Consider making your web scraping project open source and collaborate with the community to extend its functionality. 3:44
Leverage price tracking and alert systems to notify clients or yourself about price changes, allowing for quick adjustment to maintain a competitive advantage. 4:17
Develop a web scraping tool capable of analyzing and comparing prices from different sources to identify and exploit price differences. 4:29
Implement an alert system for price changes as an extension to your web scraping project to provide immediate updates on market changes. 12:17
I am a UI designer and marketing expert who could easily sell a tool like this to hundreds of thousands of ecommerce stores (already have the email list ready).
Hit me up if you’d like to partner together.
Oh wow would you know it another bright data add.
barf, dropshipping
All your videos are becoming all-sponsor-ads. This is boring and misleading. You'd better change your policy or else you would lose your followers.
Can you create one that streams music?
🎯 Key Takeaways for quick navigation:
00:00 💡 Potential of Web Scraping for E-commerce
– Web scraping offers real-time data collection for industries like travel, e-commerce, healthcare, and real estate.
– The example of a drop shipper using real-time information to gain a competitive edge.
– Highlighting the multi-billion dollar industry potential and the impact on business decisions.
01:27 🤔 Challenges and Need for Web Scraping
– Acknowledgment of challenges: companies actively blocking data scraping, API limitations, and outdated information.
– Introduction to the solution: the necessity of building a web scraper to overcome obstacles.
– Mention of community suggestions on using frameworks like playwright or selenium for the project.
02:30 🌐 Bright Data as a Solution
– Introduction to Bright Data as a sponsor, providing a solution to bypass website blocks.
– Explanation of Bright Data's scraping browser capabilities, including solving CAPTCHAs and rotating IP addresses.
– Emphasis on scaling capabilities, running multiple instances simultaneously for efficient web scraping.
03:59 🛠️ The Fully Functioning Project
– Demonstration of the developed web scraping project: a product search tool for e-commerce prices.
– Overview of features: enabling/disabling product tracking, adding new products, and viewing individual prices.
– Encouragement to explore the open-source project on GitHub for customization and extension.
07:02 ⚙️ Project Architecture Overview
– Brief overview of the project's architecture: frontend (React), backend (Flask), scraper (Python with Playwright).
– Explanation of the database setup using SQLite for simplicity.
– Description of various API endpoints, including results submission and tracking product updates.
09:03 🧩 Web Scraper Logic and Bright Data Integration
– Insight into the web scraper logic, dynamically allowing integration with different websites.
– Demonstration of connecting to Bright Data's scraping browser for unblocked access.
– Explanation of core logic: connecting to the browser, loading pages, and retrieving product information.
11:03 📅 Scheduler for Automated Updates
– Introduction to the scheduler for automated updates: triggering the web scraper daily.
– Explanation of the Windows batch file and process scheduler setup.
– Mention of hitting the URL to update tracked products and the frequency of running the automation script.
12:33 📈 Potential Project Extensions
– Suggestion for extending the project: building an alert system for notifying price changes.
– Encouragement for users to explore and enhance the project, potentially incorporating an email or text alert system.
– Recap and conclusion, urging viewers to like, subscribe, and find inspiration in the presented project idea.
Made with HARPA AI
A wonderful video that we've used as a reference for our recent additions. Your sharing is highly appreciated!
Do you have a video of web scraping data using javascript and nodejs?
a 20 year old idea that had been exploited to the maximum already. i myself used it to steal real time data in commercial goods trading. dont want to get specific to avoid saturation in that field next to the legal issues.
bear in mind this is illegal in most cases, if you try to start a saas doing this you most probably end up broke if the source of your scraping is copyright protected
Why are you not a millionaire already bro
Good idea. If u r in 2013. That's plenty of services who are provided same possibilities
Jake Gyllenhaal is that you?
You need to precise it works only if you white!
Super helpful, thanks
I'm trying to scrap documents from a website with multi layers, so I can use those files with a logical chat bot to reference what I'm looking for, please any help will be appreciated, thanks in advance.
Don't forget the proxies while web-scraping 😄
Very helpful looking for data will check out bright. Thank you.
thank you
hello Tim, is it possible to make a video on how to download the newest version of chrome driver, been stucked on it for days… i wanna crai
Ok so it's an ad for a paid service.
Fuck that, if I wanted a paid solution I would have looked for a paid solution already, not a video tutorial.
Just the cost of Bright Data makes this not applicable. I want to make 10,000 requests a day at least. Anyone found a work around?
Guess Ill skip, no 15 dollards on bright data and no money lol
I build a "free" scraper to this project that you can find in my videos.
I can build a web scraper in Python selenium that spits data into a csv. But where could I go to learn to do something like this?
Please can anyone give a RESOURCE for data analyst who want to be able to code things like this. I honestly just need like a roadmap to understand how to even get to this level
Can I hire you for a consultation?
I am struggling to get this to work…