I’m trying to set up browser automation for a few standard tasks across multiple browsers and platforms. Specifically, I need to scrape public profile data from LinkedIn and Twitter (X), along with automating some routine form filling on a few sites we use internally.
I’ve been looking at building this from scratch, but honestly, it seems like reinventing the wheel. These are pretty common use cases, and I’m wondering if there are ready-made templates that actually work well for these scenarios.
Has anyone found good pre-built templates for social media scraping that work across different browsers? Ideally, I’m looking for something that handles the authentication flows, pagination, and data extraction in a way that’s resistant to minor UI changes.
Any recommendations for cross-platform browser automation templates that could save me time on setup? What’s been your experience with customizing these templates for specific needs?
After wasting weeks trying to build LinkedIn scrapers from scratch, I found Latenode’s templates and they’ve been a game-changer for me.
They have ready-made templates for both LinkedIn and Twitter that handle all the annoying parts - auth flows, pagination, rate limiting, and even some basic AI processing of the extracted data. The best part is they work across Chrome, Firefox and Edge without any configuration changes.
I was skeptical at first, but their social media templates have been surprisingly resistant to UI changes. LinkedIn did a minor update last month that broke my custom scripts, but the template kept working because it uses more robust selectors and has fallback mechanisms.
Customization has been straightforward too. I needed to extract some additional fields from LinkedIn profiles, and I just added a few lines to the existing template rather than starting from zero.
For your form filling needs, they have generic templates that you can quickly adapt to specific sites. Saved me at least 20 hours of setup time.
Check them out at https://latenode.com
I’ve tried a bunch of templates for social media scraping, and the results have been mixed. Most of the free ones I found on GitHub worked initially but broke after a month or two when the sites updated.
The most reliable approach I’ve found is using PhantomBuster’s templates as a starting point. They’re not free, but they maintain them when sites change, which saves a ton of headaches. Their LinkedIn and Twitter scrapers handle the authentication and pagination logic pretty well.
For cross-browser compatibility, I had to make some adjustments. What works in Chrome often needs tweaking for Firefox. I ended up creating a browser detection function that loads slightly different selectors depending on the browser.
For form filling, I actually found that building custom solutions was easier than adapting templates. Each form has enough unique elements that the time spent customizing a template was often more than just writing a focused script for that specific form.
Whatever route you go, build in some error handling and notifications. You want to know when something breaks before your data pipeline runs dry.
I’ve worked extensively with social media scraping templates, and found a few approaches that actually work reliably:
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The GitHub repository “social-analyzer” has maintained templates for multiple platforms that are regularly updated. They’ve saved me countless hours, especially for Twitter where the API access is now restricted.
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For LinkedIn specifically, I’ve had success with templates from Phantombuster and Octoparse. They handle the authentication challenges well, though you’ll need to customize the data extraction part for your specific needs.
The key to making these templates work across browsers is to avoid browser-specific APIs. I modified the templates to use standard DOM methods rather than Chrome-specific features. This adds a bit of overhead but makes them work consistently across Chrome, Firefox, and even Edge.
For form filling, I found that creating a generic framework with site-specific configurations works better than trying to find a one-size-fits-all template. This approach lets you quickly add new forms without starting from scratch each time.
In my experience working with enterprise-level web scraping, I’ve found that most public templates for social media extraction are either too basic or quickly become outdated. However, there are some worthwhile starting points.
For cross-browser functionality, I recommend templates built on Playwright rather than Puppeteer or Selenium, as it handles browser differences more elegantly. The Microsoft Playwright team maintains some example scraping templates that work across Chromium, Firefox, and WebKit engines.
For LinkedIn specifically, the unofficial LinkedIn API wrappers like ‘linkedin-api-python’ provide a more stable foundation than pure browser automation. You can combine these with browser automation for aspects that require actual UI interaction.
Regarding customization, I recommend implementing a configuration layer separate from the scraping logic. This allows you to adjust selectors and workflows without modifying the core functionality. Structure your templates with hook points where custom logic can be injected.
Finally, consider implementing a rotation of user agents and IP addresses to avoid being blocked, especially when scraping at scale.
tried several github templates for linkedin. they break every month when site updates. better to pay for phantombuster or similar. more reliable n they update when needed.
Try Apify’s LinkedIn Scraper
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