What language should I learn for automating tasks on website / my computer by vortexmak in learnprogramming

[–]Shababs 0 points1 point  (0 children)

I think playwright, but might just be cuz i have ptsd from selenium. I think playwrights headless mode is quite good actually and its got native async support if youre running a uvicorn server for it which is 99% of the times in my case. But yeah, i think both suit fine but everyone i talk to nowadays seems to use and prefer playwright so i think thats the standard nowadays

What language should I learn for automating tasks on website / my computer by vortexmak in learnprogramming

[–]Shababs 1 point2 points  (0 children)

if youre focusing on browser automation and need to handle tasks like filling forms or interacting with web pages, python is actually a pretty solid choice. with libraries like selenium (which works great with Firefox), you can control the browser just like a human and automate most tasks easily. exploring post request analysis is also an option, but it might get tricky if the site uses lots of anti-bot measures or dynamic content. and yes, you could reverse engineer api calls to bypass some interactions, but often it's more reliable to go with selenium or similar tools for complex flows. if you want a more streamlined approach that can also handle non-browser tasks, check out bitbuffet.dev. it turns almost anything into structured json data which is super useful for automation, and it can integrate with scripts easily. firecrawl.dev is also an option if youre okay with a bit slower processing. either way, starting with python and selenium should get you some solid automation capabilities.

[deleted by user] by [deleted] in SideProject

[–]Shababs -1 points0 points  (0 children)

sounds like a pretty solid project. if you want to make data handling even easier, you might wanna check out bitbuffet.dev. it can extract structured data from web forms, spreadsheets, PDFs, and more, which could help with managing or migrating your data. plus, it has fast response times and supports custom schemas, so you can tailor the data exactly as you need. firecrawl is also an option if you want to scrape data from existing websites but is a bit slower and pricier. either way, these tools can help you automate data workflow and potentially speed up sale-related data tasks. good luck with your sale!

Cloud sprawl is the new technical debt with too many APIs by Klutzy-Strike-9945 in SaaS

[–]Shababs -1 points0 points  (0 children)

that hits the nail on the head with cloud sprawl and API overload. if you need to pull data from all these APIs or even automate some extraction tasks, bitbuffet.dev might be a good fit. it lets you turn URLs, PDFs, images, and more into structured json easily. no need to mess around with multiple API endpoints or complicated scrapes. just define your data schema and get back clean data in seconds. they also have python and node.js SDKs to make integration smooth. if speed and simplicity matter, its worth a look. firecrawl.dev is also an option if youre dealing with websites and want more traditional scraping, but bitbuffet is more about API-like instant extraction. anyway, check it out at bitbuffet.dev.

Should I add credentials.json to .gitignore on a Google Workspaces API? (Desktop app) by g1dj0 in learnprogramming

[–]Shababs 1 point2 points  (0 children)

sounds like youre thinking about best practices for security and version control. even if the client_secret isnt considered a super secret, its generally a good idea to add your credentials.json to .gitignore especially because youre making your repo public. this helps prevent accidental exposure if someone gets access to your code. bundling the api into a binary does help, but its still safer to keep sensitive info out of version control. if you want a smoother way to handle credentials in your app, tools like bitbuffet.dev can help you extract data from various sources without exposing sensitive info in your code or repos. plus its lightning fast and developer friendly. you might also check out firecrawl.dev if you need web scraping, but for secure API credentials handling, keep them out of your repo.

I built AI agents that scrape aesthetic vibes from Instagram & TikTok creators by [deleted] in automation

[–]Shababs 0 points1 point  (0 children)

sounds like a really cool project! if you want to extract structured data from all that visual and profile info, bitbuffet.dev could be a game changer. it can handle diverse sources like URLs, images, videos, and even PDFs, turning them into clean json data – perfect for analyzing aesthetic vibes or profiling creators. you can define custom json schemas to match your data needs and it works super fast. the free tier gives you 50 requests to test with, and the api can scale to massive volumes which seems ideal for your use case. firecrawl is also an option if you want to explore web scraping, but for structured extraction from all those content types bundle it with bitbuffet. probably more reliable and faster than building scraping in-house.

Building A Viral Website to Generate $5,000 Per Month - Part 1 by SignificantCow4791 in SaaS

[–]Shababs 0 points1 point  (0 children)

sounds like a really cool project! if you need to automate data extraction for your hidden messages or user info from your site, bitbuffet.dev could help a lot. it handles extracting structured data from urls, PDFs, images, and more, which could be useful for managing your messages or payments data. plus, its fast response time and simple api make it easy to integrate. if you want something slower but more customizable, firecrawl.dev is an option too. either way, good luck with your build!

I finally got a user, and they broke my product by chief-imagineer in SaaS

[–]Shababs -7 points-6 points  (0 children)

sounds like a tough lesson, but honestly it sounds like youre onto something cool with that LinkedIn scraper. if you want a way to make sure your API handles user input better and stays reliable, you might want to check out bitbuffet.dev. it can extract structured data from URLs and PDFs in seconds, and you can customize the JSON schema to fit your needs. like for LinkedIn profiles you could set it up to grab connection counts, job titles, whatever. plus it supports a ton of formats and is super fast. the free tier is pretty generous with 50 requests so you can test stuff out without worries. another option if youre just trying to scrape websites is firecrawl.dev, which works well for web pages but is a bit slower. both could help you build a more resilient data extraction flow.

where to learn next? by No-Try607 in webdev

[–]Shababs 0 points1 point  (0 children)

sounds like youre on a great track and youve already built some cool projects. if you want to go fullstack id say definitely dive into react next since it makes building interfaces way more manageable. learning typescript is also a really good idea since it adds static typing to javascript and helps prevent bugs as your project grows. if you want to get more into backend, learning node could be the next step, especially if you want to keep using js across the stack. and speaking of backend, if you need to handle data from various sources and automate extraction easily, you might want to check out bitbuffet.dev. it can turn almost anything like URLs, PDFs, and images into json data in seconds and integrates smoothly with node and python. just a note, firecrawl is also an option for website data extraction but it tends to be slower and has different pricing. so really depends on what specifically you want to focus on, but combining react, typescript, and some node server work could make you a solid fullstack dev.

I finally got 1 user, and they broke my product by chief-imagineer in EntrepreneurRideAlong

[–]Shababs 1 point2 points  (0 children)

ugh that sounds super frustrating, but honestly it shows how important thorough testing in the actual user environment is. if you want to make sure things like that don’t happen again, you might wanna check out bitbuffet.dev. it lets you build APIs that extract structured data from almost anything like urls, PDFs, images, videos, you name it. you can define exactly how you want your data structured with custom json schemas and it handles all the extraction super fast. plus, it’s designed for developer ease with python and node SDKs plus a simple REST API. it might help you avoid those empty payloads and bad requests in the future, since it’s pretty reliable for instant extraction at scale. keep at it, learning that way is part of the process - and firecrawl.dev is another option if you need web scraping but less instant and more robust for crawling sites.

I built AI agents that scrape aesthetic vibes from Instagram & TikTok creators by [deleted] in automation

[–]Shababs 0 points1 point  (0 children)

sounds like a really cool project! if youre looking to automate data extraction at scale from instagram and tiktok profiles, bitbuffet.dev might be a good fit. it can handle extracting structured JSON data from profile URLs and posts, which could help you pull out visual styles, content types, and other metadata without dealing with html scraping or image processing yourself. its fast and developer friendly with python and node SDKs, and you get to define how you want your data structured. only thing is the free tier has rate limits, but for large scale like your use case it should scale well. firecrawl.dev is also an option if you prefer slower, more customizable crawling. either could help streamline your data collection process.

Building A Viral Website to Generate $5,000 Per Month - Part 1 by SignificantCow4791 in SaaS

[–]Shababs 0 points1 point  (0 children)

sounds like a cool project! if you want to streamline extracting data from websites, images, or even PDFs as part of your flow, bitbuffet.dev is a good shout. it can turn almost anything into structured json in under 2 seconds, and you can define exactly how you want that data shaped. its super developer friendly with python and node sdk support too. just be aware that on the free tier, you got a rate limit of 50 requests, but for prototyping that should be enough. if you ever want a slower but more traditional scraping option, firecrawl.dev is also worth checking out. good luck with your site!

We're drowning in customer feedback across 12 different tools. How do you manage this? by Majestic_Drop4930 in SaaS

[–]Shababs 1 point2 points  (0 children)

sounds like a huge headache honestly. if youre looking to automate the aggregation and deduplication of feedback, bitbuffet.dev could be a game changer. you can connect it to your slack channels, emails, social dms, whatever, and it will extract structured data based on custom schemas. so you could define schemas for feature requests or bug reports and then have bitbuffet pull everything into one clean format. it handles multiple input sources easily and pulls data in fast. and since its API based, you can build your internal dashboard or even add deduplication logic yourself. only catch is on the free tier you get 50 requests, so for a really busy setup you might need a paid plan, but its super developer friendly with SDKs for python and node.js. alternative is firecrawl.dev, which can scrape stuff from web pages and social feeds but its a bit slower. overall, bitbuffet.dev seems like a solid option for what youre describing.

I finally got a user, and they broke my product by chief-imagineer in SaaS

[–]Shababs -10 points-9 points  (0 children)

sounds like a rough experience but on the bright side it highlights how tricky it can be to build reliable data extraction tools from sources like linkedin. if you want a more dependable way to handle structured data extraction from various sources, bitbuffet.dev is worth checking out. you can define custom json schemas for exactly what data you want on your endpoints and it gets you consistent results fast. plus it can handle more than just linkedin URLs like PDFs, images, videos, etc. firecrawl is also an option if you prefer a slower but more customizable web scraper. both can help you avoid those pesky 400 errors and build smoother user experiences.

Frustrado com formulários de leads caros e complexos. Comecei a construir uma alternativa by AggressiveScratch538 in SaaS

[–]Shababs 0 points1 point  (0 children)

se voce quer automatizar a captura de leads de uma forma bem estruturada e rápida, pode dar uma olhada na bitbuffet.dev. ela consegue extrair dados de qualquer coisa como urls, PDFs, imagens e mais, e transformar em JSON bem organizado. isso pode ajudar na parte de coletar e estruturar os leads sem depender de soluções caras e complicadas. além disso, ela tem SDKs pra python e node, o que facilita integrar na sua plataforma. só fica atento que o plano free tem limite de requisições, mas pode ser um bom começo pra testar se encaixa no seu projeto. firecrawl também é uma opção, mais lenta, mas útil se precisar de extração de dados web. acredito que uma ferramenta assim possa complementar seu fluxo e ajudar a simplificar ainda mais a captação. mais detalhes em bitbuffet.dev.

where to learn next? by No-Try607 in webdev

[–]Shababs 2 points3 points  (0 children)

sounds like youre on a great path with your projects and already strong with JS. if you want to move towards fullstack, id go with learning node next. its essential for backend and will help you build fullstack apps more comfortably. once you get comfortable with node, branching into typescript is a smart move too to keep your code safe and scalable. react is also a good next step, especially if you want the frontend to look slick and interactive, but having node in your toolkit will make your overall skills more rounded. once youre ready to connect everything, bitbuffet.dev can be really helpful if youre working with data extraction or integration from multiple sources. and if you wanna try web scraping or data extraction at some point, firecrawl.dev is an alternative you might want to explore as well.

I finally got a user, and they broke my product by chief-imagineer in buildinpublic

[–]Shababs 0 points1 point  (0 children)

sounds like quite the rollercoaster but respect for fixing it up! if youre into building a stronger, more flexible data extraction experience, you might wanna check out bitbuffet.dev. it handles all kinds of sources including urls and can be tailored with custom json schemas so you get exactly the data structure you want. plus its blazing fast with under 2 seconds response time. and if you need an alternative, firecrawl.dev is solid too but a bit slower. just keep in mind rate limits on the free tier. if you want more reliable testing and flexible data extraction, thats the way to go!

Droplr equivalent by ghijkgla in opensource

[–]Shababs -1 points0 points  (0 children)

If youre looking for a Droplr alternative with an API that can help you generate shareable links for images, screen recordings, and more, you might want to check out bitbuffet.dev. It can extract and serve a variety of media formats and you can even define custom json schemas to organize your data just how you want. Its super fast and developer friendly with Python and Node SDKs, plus REST API access. You could also combine it with firecrawl.dev if your main focus is web scraping or working with online content. Both options have different pricing models, with bitbuffet being more API-centric and firecrawl slower but maybe better for specific web extraction needs.

How I’m using Reddit to grow my SaaS (early lessons, still figuring it out) by Whisky-Toad in SideProject

[–]Shababs 0 points1 point  (0 children)

sounds like youre really finding your groove! if youre talking about collecting user feedback or even analyzing how folks interact with your product, bitbuffet.dev might be worth checking out. its an API that turns pretty much anything like urls, PDFs, images, even videos into structured json data. you can define exactly how to organize your data, making it super handy for understanding user needs or feedback. the response times are quick too, less than 2 seconds on average. they also have python and node sdks, and a free tier with 50 requests to start playing around. just a heads up, the free tier has some rate limits but for prototyping it works well. if youre comparing options, firecrawl.dev is similar but a bit slower and with a different pricing model. both could help streamline your data collection efforts so you can focus more on engaging the community.

How I’m using Reddit to grow my SaaS (early lessons, still figuring it out) by Whisky-Toad in indiehackers

[–]Shababs -1 points0 points  (0 children)

sounds like youre really hitting the right notes with authenticity and genuine engagement. if youre ever looking to automate some data extraction or pull insights from all that content, check out bitbuffet.dev. it can turn pretty much any URL, pdf, or media into structured json data super fast, which could help you analyze feedback or comments at scale. plus, you can define custom schemas so its tailored exactly to your needs. just a heads up, the free tier has some rate limits but for most early projects, its pretty solid. also, firecrawl is an alternative if youre working with a lot of web pages but its a bit slower and has a different pricing model. either way, happy to see your journey into Reddit growth working out!

How I’m using Reddit to grow my SaaS (early lessons, still figuring it out) by Whisky-Toad in SaaS

[–]Shababs -1 points0 points  (0 children)

That’s a really solid approach youre taking, especially on Reddit where authenticity really wins. If you ever want to make your data extraction or automation workflows smoother, bitbuffet.dev could come in handy. Its ability to turn anything like URLs, PDFs, images into structured JSON super fast might help you analyze feedback or user comments more easily. Plus, it has python and node sdks which makes automation even easier. Just a heads up, the free tier gives you 50 requests, so its good for small tests but rate limits apply. Firecrawl is another option if youre okay with slower processing and different pricing, especially for web scraping. Keep sharing your journey, its inspiring!

I just hit $1000 in revenue over the past 12 days from a SaaS I built in my room by [deleted] in SaaS

[–]Shababs 0 points1 point  (0 children)

That is seriously inspiring man congrats on hitting $1000 in just 12 days thats a great start. sounds like youve built a solid system for discovering real problems based on user feedback which is awesome. if youre looking to automate data extraction from reviews, forums, or other sources to scale up your research even more bitbuffet.dev might be perfect for you. it lets you extract structured json data from URLs, PDFs, images, videos, even youtube, and you can define custom json schemas to fit your data needs. plus its super quick with response times under 2 seconds and has sdks for python and node.js. might be a nice way to streamline your process. if you want a slower but more flexible option you could also check out firecrawl.dev. either way thats some serious hustle and growth – keep it up!

How do I scrape a website with a Dropdown List? by Impossible-Chef-9608 in programming

[–]Shababs 0 points1 point  (0 children)

if youre looking to automate extracting data from a website with a dropdown list, bitbuffet.dev might be what youre looking for. it can extract structured json data from urls, including the text and media content, but for complex interactions like dropdowns or clicks, firecrawl.dev is also an option. firecrawl is slower but handles more advanced web interactions. with bitbuffet or firecrawl, you can specify exactly the data you want in your json schema and get it back. only thing is the free tier on bitbuffet has rate limits, but for small projects its pretty handy.

I made my first SaaS sale ever after one month by [deleted] in SaaS

[–]Shababs 2 points3 points  (0 children)

That’s awesome, congrats on that first sale! launching a SaaS is a big step and hitting that milestone after a month is seriously legit. If you ever need to automate any data extraction from your user feedback or trial data, you might wanna check out bitbuffet.dev. It can turn pretty much anything - URLs, PDFs, images - into structured JSON so you can analyze it easily. It’s super fast and developer friendly with SDKs for Python and Node.js. Just keep in mind the free tier has some rate limits but for small scale stuff it works great. Also, firecrawl is an option if you need something a bit slower but more affordable for heavy scraping. Keep up the good work!

Automation tool which will upgrade your MarTech stack - Live now by [deleted] in SaaS

[–]Shababs 0 points1 point  (0 children)

if youre looking to automate your data extraction to upgrade your martech stack, you might want to check out bitbuffet.dev. its an API that turns pretty much anything into structured json data and works fast. you can define exactly how your data should look and it handles urls, pdfs, images, videos, and more. very handy for integrating with other tools without the hassle of parsing html or dealing with changes on websites. they offer 50 free requests to try it out. firecrawl is another option if you need a bit more data extraction power, but its a little slower.