Autonomous AI crawler

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  • Опубліковано 4 жов 2024

КОМЕНТАРІ • 34

  • @workfloows
    @workfloows  3 місяці тому +5

    Hey, thank you for watching! This is my first video in a bit new format focusing on workflow concepts and architecture. You can quickly reproduce the workflow using the files in the description.
    How do you like this format? Please let me know in the comments - your feedback will help me shape future content!

  • @OmerNesher
    @OmerNesher 26 днів тому +2

    thanks for the video and workflows! one small note, if you could just take your time and explain what you did in each node and why, it would be great. get into the details. again, thanks a lot!

  • @cennaoui
    @cennaoui День тому

    Thanks for putting this together Oskar.

  • @jinqimao4781
    @jinqimao4781 2 місяці тому +2

    Like this format, you solved the problem in easy way!

    • @workfloows
      @workfloows  2 місяці тому

      Thank you very much for your feedback, I’m really happy you like it!

    • @andyzheng7377
      @andyzheng7377 2 місяці тому +1

      ​@@workfloows Hi, will you make Skool community for AI automation primarily using N8N? 😊😊😊

  • @spicyshpaget
    @spicyshpaget 3 місяці тому +2

    Nice format
    Although you left us hanging with the no clicking problem, that would've been great to know how to go around it at the end
    Maybe next video? 👀 Good work though taught me alot about n8n

    • @workfloows
      @workfloows  3 місяці тому +1

      Thanks for your comment! Indeed good idea for the next tutorial, definitely will think about it 😃

  • @rebrand5446
    @rebrand5446 3 місяці тому

    Thanks Oskar for your smart explained 🚀🚀 great work.

  • @DesignDesigns
    @DesignDesigns 26 днів тому +1

    Thank you....

  • @LifeWithoutOffice
    @LifeWithoutOffice 3 місяці тому

    Nice workflow. Brightdata captcha solver is something that I should checkout!

  • @MKTGGiova
    @MKTGGiova Місяць тому

    Extremely valueble! TY

  • @gabrielrakemel3435
    @gabrielrakemel3435 3 місяці тому +1

    Great work

  • @JulianManfredi
    @JulianManfredi 21 день тому +1

    Thanks for sharing Oskar. It´s great. I tested the workflow with chat gptmini LLM but not work. Only work with gpt4. Do you think that gpt4mini is not reliable to perform this type of tasks?

  • @zonadock
    @zonadock 2 місяці тому

    Thanks Oskar ;)

    • @workfloows
      @workfloows  2 місяці тому

      You’re very welcome!

  • @Aaron7k
    @Aaron7k 3 місяці тому +1

    Thanks

  • @seanolivas9148
    @seanolivas9148 17 днів тому +1

    Might be good when task magic can't pull data. So far the best no code scraper imho

  • @benyprodukcja
    @benyprodukcja 2 місяці тому

    Awesome!

    • @workfloows
      @workfloows  2 місяці тому

      Thanks a lot my friend! 🙌

  • @faridullahkhan1
    @faridullahkhan1 3 місяці тому +1

    very nice video thank you. and thank you for making the workflow files available.
    Are you able to extend this workflow to read read reviews of the business and create a sentiment analysis overall and also create top 5 reasons why they got positive reviews and top 5 reasons why they got negative reviews. I am trying to figure out if we can get what value the business provides to their customers top 5, what problems for customers they solve top 5, what complaints customers have about their business top 5. etc. thank you

    • @workfloows
      @workfloows  3 місяці тому +1

      Hey, thank you for your comment!
      Do you have in mind any specific source of reviews (e.g. Google reviews)? Or would you like your agent to gather all possible reviews about specific company from various sources? Both options should be doable, but approach to development will be slightly different.

    • @faridullahkhan1
      @faridullahkhan1 3 місяці тому

      @@workfloows I’m thinking if I’m going to start a new service biz , then I could first do research about what going to start. For example let’s say I want to start medical billing, this is what m in trying to start, so first research the medical billing industry, gather competition data and client pain points , what to provide as a valuable service and what to do better than competition. Then in same research process gather the completion reviews either from their site or google my biz etc and output findings into let’s say 3 main categories. 1 customers pain points , 2 what competition is talking about as value they provide and 3 gather what customers don’t like about competition.
      Now I can start working on framing my offer or service to be aligned with what my icp is looking for and what they are not happy with etc. Idea is still fresh in my mind so haven’t dialed it in properly yet but this is what I’m going with for now.
      So it can be used for starting new service biz or modifying existing biz offering. I think this kind of research will help narrow down what you need to do or create. What you think ?

  • @pramodgeorgehq
    @pramodgeorgehq 2 місяці тому

    Just discovered your channel. Some great posts here. I'd love to connect with you sometime!

  • @moonsylyd
    @moonsylyd 2 місяці тому

    Do you think this would work well for retreiving products from eCommerce sites?

    • @workfloows
      @workfloows  2 місяці тому +1

      Hey, thanks for your comment! To retrieve data for a single product from multiple ecommerce sites, I think this workflow should do the job. However, if you want to scrape dozens or hundreds of products from a single online store, I’d recommend building a dedicated scraping script/workflow that handles pagination and doesn’t rely entirely on AI. This approach will ensure better scraping accuracy and lower execution costs.

    • @moonsylyd
      @moonsylyd 2 місяці тому

      @@workfloows thanks for your reply!

  • @Aaron7k
    @Aaron7k 2 місяці тому

    Bright Data not solving Captcha:(

    • @workfloows
      @workfloows  2 місяці тому

      Hey, I apologize for my very late feedback. CAPTCHAs can be tricky as they change frequently. The best way to handle this would be to contact Bright Data support. They are very helpful and usually resolve issues quickly.