Finally, you can develop browser automation without the pain and the cost of deploying a fleet of headless browsers. Connect to BrowserCat, scale globally, and pay only for what you use. Scrape the web, automate your workflows, test your apps, generate beautiful images and pdfs from HTML, give you AI agent web access, and more.
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BrowserCat's answer:
BrowserCat is built on robust open source technology that's under active development. The star of the show is Playwright, which is our recommended automation library. It's maintained by Microsoft, it officially supports JS, Python, Java, and .NET, and it's fast becoming the industry standard. BrowserCat also supports Puppeteer and numerous unofficial Playwright ports to Go, Rust, PHP, and Ruby.
BrowserCat's answer:
Unlike other headless browser providers, BrowserCat gives you total control over your browser instances for as long as you need them. Leverage the browsers cache, cookies, and storage for bespoke browser automation jobs that truly differentiate your business from the competition.
BrowserCat's answer:
In previous corporate and startup gigs, I faced the challenge of developing robust, fast, and scalable browser automation. Most APIs in the space are too limiting for our needs and they were often incredibly slow. On the other hand, hosting your own headless browser fleet was a pain. I founded BrowserCat to make scaling up browser automation as easy, reliable, and affordable as deploying a serverless function.
BrowserCat's answer:
We primarily serve developers, whether the seek to develop unique browser automation jobs or radically improve the performance of their integration tests. However, we frequently work with management, biz ops, and product leaders to solve problems they can't solve any way but through automation.
BrowserCat's answer:
BrowserCat is built for performance, scalability, stability, and affordability using modern web technologies. Many of our competitors were early to market and compete on entrenchment rather than functionality. Still others are bound by their existing users to continue supporting legacy tech, rather than embrace improved, modern standards. BrowserCat is focused on supporting your for the next ten years, rather than the past ten years.
Based on our record, DocParser seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 2 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: almost 2 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: about 2 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: about 2 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 2 years ago
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