Hey everyone! đź‘‹
So, I’ve been trying to scrape twitter data for a project, and man, it’s been a rollercoaster. Twitter’s API is kinda restrictive, and scraping twitter without getting blocked feels like a game of cat and mouse.
I’ve tried a few tools like Tweepy, Snscrape, and even some custom scripts with BeautifulSoup + Selenium. Tweepy’s great if you’re okay with the API limits, but if you wanna scrape twitter at scale, Snscrape seems to be the go-to in 2023.
Anyone else have tips or tools they’re using? I’ve heard mixed things about Octoparse and Scrapy, but not sure if they’re worth the hassle. Also, how do y’all handle rate limits and IP bans? Proxies? Rotating user agents?
Would love to hear what’s working for you guys! Cheers! 🍻
Hey! I feel your pain with scraping twitter data. It’s such a headache sometimes. I’ve been using Snscrape for a while now, and it’s been a lifesaver for scraping twitter at scale. No API limits, and it’s pretty fast.
For handling rate limits, I’ve been rotating proxies with Bright Data. It’s a bit pricey, but worth it if you’re scraping twitter data regularly. Also, don’t forget to randomize user agents—it helps a ton with avoiding bans.
If you’re looking for something more GUI-based, maybe check out ParseHub. It’s not perfect, but it’s decent for smaller projects.
Scraping twitter is a nightmare, honestly. I’ve tried Octoparse, and it’s okay for basic stuff, but it’s not great for large-scale scraping. I’ve had better luck with Scrapy + rotating proxies.
One tip: if you’re scraping twitter, try to mimic human behavior as much as possible. Add random delays between requests and avoid hitting the same endpoints repeatedly. It’s tedious, but it works.
Also, check out ScrapingBee—they handle proxies and CAPTCHAs for you. It’s a bit of a shortcut, but it saves time.
Yo, scraping twitter is such a grind. I’ve been using Apify’s Twitter Scraper, and it’s been pretty solid. It’s a paid tool, but it handles rate limits and IP bans automatically, so it’s worth it if you’re doing this regularly.
For free options, Snscrape is definitely the way to go. Just make sure you’re using a VPN or proxies to avoid getting blocked.
Also, if you’re scraping twitter for hashtags or trends, check out Twint. It’s a bit outdated, but it still works for some use cases.
I’ve been scraping twitter data for a research project, and it’s been a wild ride. Tweepy is great for small-scale stuff, but for larger projects, I’ve switched to Snscrape. It’s way more flexible.
For proxies, I’ve been using Oxylabs. It’s not cheap, but it’s reliable. Also, make sure to set up a proper delay between requests—like 5-10 seconds. It’s annoying, but it keeps you under the radar.
If you’re looking for a no-code option, maybe try DataMiner. It’s not perfect, but it’s decent for scraping twitter data without coding.
Scraping twitter is such a pain, but Snscrape has been my go-to lately. It’s free, and you don’t have to deal with API limits.
For proxies, I’ve been using Smartproxy. It’s affordable and works well for scraping twitter data. Also, don’t forget to rotate user agents—it’s a small thing, but it makes a big difference.
If you’re looking for something more automated, check out PhantomBuster. It’s a bit pricey, but it’s super easy to use.
Man, scraping twitter is no joke. I’ve been using Scrapy with a custom middleware to handle proxies and user agents. It’s a bit of work to set up, but once it’s running, it’s pretty smooth.
For proxies, I’ve been using Luminati. It’s not the cheapest, but it’s reliable for scraping twitter data at scale.
Also, if you’re scraping twitter for hashtags or trends, Twint is worth checking out. It’s a bit outdated, but it still works for some use cases.
Scraping twitter is such a hassle, but Snscrape has been a game-changer for me. It’s free, and you don’t have to deal with API limits.
For proxies, I’ve been using Proxy-Cheap. It’s affordable and works well for scraping twitter data. Also, make sure to randomize your request intervals—it helps avoid getting blocked.
If you’re looking for a no-code option, maybe try Octoparse. It’s not perfect, but it’s decent for smaller projects.
I’ve been scraping twitter data for a while now, and it’s definitely a challenge. Snscrape is my go-to tool—it’s free and works well for large-scale scraping.
For proxies, I’ve been using Storm Proxies. It’s affordable and reliable for scraping twitter data. Also, don’t forget to rotate user agents—it’s a small thing, but it makes a big difference.
If you’re looking for something more automated, check out Apify. It’s a bit pricey, but it’s super easy to use.
Wow, thanks for all the suggestions, everyone! I’ve been trying out Snscrape based on your recommendations, and it’s been working pretty well so far. Still figuring out the proxy situation—I’ll probably give Bright Data or Oxylabs a shot since they seem reliable.
Quick question though: for those using Scrapy, how do you handle CAPTCHAs? I’ve heard they can be a pain when scraping twitter at scale. Also, anyone tried using Twint recently? I’m curious if it’s still viable in 2023.
Thanks again for all the tips—this has been super helpful! 🍻
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