@imtarajones Phantombuster is great if you want to scrape 100 or so linkedin profiles. And you should use them. The problem happens when you want to track 1k+ companies and profiles matching a specific criteria. With phantom buster are bound to 1. you are stuck with keeping your computer open for days 2. pay over $2k+ 3. get blocked from your linkedin account With Scrapejoy you just pay a fixed monthly fee and get data straight to you.

@james_o_sullivan1 Thanks for the support. While our pricing may appear high at first, it's important to consider the value and cost savings we provide compared to building an in-house solution. Time and Resources: Developing an in-house web scraping infrastructure requires significant time, technical expertise, and ongoing maintenance. By using our service, you can save months of development time and allocate resources to other business-critical tasks. Annual cost of a full-time competent engineer is $120,000+. Scalability: As your data needs grow, scaling an in-house solution can be complex and costly. With our fixed monthly price, you have unlimited web scraping capabilities without worrying about additional costs for more websites or data volume. Data Quality and Accuracy: Ensuring accurate and complete data is crucial. Our 100% data guarantee eliminates the need for data cleaning and validation, saving you time and effort. Anti-bot Bypass: Overcoming anti-bot restrictions is a challenging task. Our extensive experience in this area ensures uninterrupted scraping, while developing and maintaining such capabilities in-house would require substantial expertise and resources. Comparatively, building and managing an in-house web scraping infrastructure involves significant upfront and ongoing costs. Expenses include hiring skilled developers, investing in infrastructure, handling maintenance, and addressing potential legal and compliance issues. Additionally, the time spent on development and maintenance could delay your go-to-market strategy. By utilizing our service, you eliminate these costs and complexities, gaining access to a reliable, comprehensive web scraping solution that delivers accurate and complete data. Our pricing reflects the value we provide, not only in terms of cost savings but also in terms of efficiency, scalability, data quality, and expertise. We encourage you to consider the long-term benefits and the opportunity cost of not using our service. By partnering with us, you can focus on your core business while enjoying the advantages of a professional and hassle-free web scraping solution.

@james_o_sullivan1 @imtarajones Phantombuster is great if you want to scrape 100 or so linkedin profiles. And you should use them if that is what you are looking for. The problem happens when you want to track 1k+ companies and profiles matching a specific criteria. With phantom buster are bound to 1. you are stuck with keeping your computer open for days 2. pay over $2k+ 3. get blocked from your linkedin account With Scrapejoy you just pay a fixed monthly fee and get data straight to you. And regarding throwing humans, I'm not sure if have tried doing web scraping at scale. This is what google does. And they don't throw humans at it. We use similar proprietary technology stack. Let me know if you have any questions.

@beratkervan Thanks for the support

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@parekh_tanmay Thanks for supporting

@luke_button thanks for the support. Would love to understand how we can help you. Feel free to book a quick call here https://cal.com/abhilash/abhilas...

Thanks for the support @yampolskymax . Feel free to setup a quick call https://cal.com/abhilash/abhilas... to see how we can help your team

thanks for the Support @yampolskymax and yes we'll be in touch

@shubham_pratap Thank you for the support!

@e__m_c_2 Thanks for the support The most common usecase is enriching linkedin profile of a lead with their twitter profile and getting the following fields 1. # of followers 2. List of followers 3. # of accounts following 4. List of following accounts 5. Avg upvotes on last 10 posts 6. URL in bio 7. Date account created 8. Complete Bio 9. Is verified 10. Email from twitter Apart from the above usecase, we also help with getting list of twitter accounts for a specific search term.

@ujwal_kumar2 Thanks for the support

Thank you @neha_joshi8 for your support

@dewan_lanin thanks for the support. With our parent product, crustdata.com , we saw every 3rd customer had a different kind of data request. That's my we ended up building a productized service model for these kind of request. For scaling a specific usecase, we would tie that into our parent product https://crustdata.com

@tshireletso_manikesi Thank you!

@dg92 Thank you so much for supporting!

Thanks, @dg92

@steve_lw Thanks a lot for supporting us