+5 Best Twitter Scrapers of 2024 [No-Code Edition]
Wish you could dig into Twitter data but don't know how to code? Coding a Twitter scraper isn't for everyone, and finding the right no-code tool can feel like a wild goose chase.
Well, I've done the legwork for you! In this article, I'm dishing out the top 5 no-code Twitter scrapers to collect tweets, profiles, and trends.
But what is a Twitter scraper and why do people use Twitter scrapers? 🤔
A Twitter scraper is a tool or software program that automatically extracts data from Twitter. This data can include user tweets, profiles, hashtags, search results, and more.
Twitter scrapers save you the time and effort of manually collecting this information and present it in a structured format for easy analysis.
Twitter has more than 220 million daily active users, making it one of the most popular social media platforms worldwide. Scraping Twitter has multiple use cases including:
But is Twitter scraping legal?
Generally, scraping publicly available data is legal, as established by verdicts of lawsuits like LinkedIn vs HiQ. But the keyword here is ‘publicly available data’.
But there are certain limitations. You should avoid scraping private information without explicit consent.
Also excessive scraping can put a strain on Twitter's servers. Make sure you don't overload the server. Plus be transparent about the source of your information.
I’ve already discussed the legality of Twitter data scraping in detail in my article – How to Scrape Twitter Profiles in 2024 [No-Code]. It’s a must read piece for data enthusiasts.
But why all this headache when I can use the official Twitter API?
Twitter does offer an API. But no it’s not the best option for collecting data at scale. Why?
Twitter updated their API pricing and rate caps last year after Elon’s takeover. This resulted in many indie developers having to shut down their Twitter-based apps.
Before Elon’s takeover, Twitter had no limits on viewing tweets and the official API also allowed developers to access up to 2 million tweets per month.
Last year Twitter updated their API pricing and rate caps. The main reason why Elon limited the API access was cost cutting and boosting revenues.
Later that year, Elon also limited the number of tweets a user can read, post, and retweet. The read limits were revoked but the other limitations still apply to free Twitter accounts.
I’ve explained API costing and limitations and why it’s not the best option for scraping Twitter data at scale in my article – How to Scrape Tweets from Twitter (No Code).
So, we’ve confirmed the legality, learned why API is not a good choice, let’s address the elephant in the room now.
After trying various cloud-based, desktop based scrapers and scraping chrome extensions, I curated this list of 5 best scrapers that passed most of the testing parameters.
The ranking is also based on the above factors. I’ve ranked them 1 - 5 based on speed, data points it collects, affordability, and ease of use.
Twitter Scraper | Scrapes user tweets data | Scrapes user profile data | Scrapes search data | Data attributes | Speed | Pricing | |
---|---|---|---|---|---|---|---|
Lobstr.io 🏆 | ✓ | ✓ | ✓ | 80 | 160/min | €0.03/1k results | |
Phantombuster | ✓ | ✓ | ✓ | 50 | 100/min | $0.24/1k results | |
Apify | ✓ | ✓ | ✓ | 53 | 196/min | $0.35/1k results | |
Octoparse | ✓ | ✓ | ✓ | 38 | 25/min | $0.05/1k results | |
Webautomation.io | ✓ | ✓ | ✓ | 13 | 100/min | $1.25/1k results |
Now let’s go through the list of 5+ best Twitter scrapers.
Our first contender is Lobstr.io, a France-based web scraping company offering a variety of ready-made, cloud-based scraping tools.
Starting with scraping modules, Lobstr offers 3 Twitter scrapers for extracting data from Twitter profiles, user tweets, and even from Twitter trends and search results.
Lobstr provides 3 Twitter scraping automations for scraping profile data, tweets, and trends.
With Twitter Profile Scraper, you can extract 20+ data points from any Twitter user profile at 100+ profiles per minute speed.
For scraping tweets from Twitter profiles, you can use Twitter User Tweets Scraper which offers 30+ data points for each tweet and scrapes 250+ tweets per minute.
For trends, hashtags and search queries, you can use Twitter Search Results Scraper which extracts 25+ data points at 125+ tweets per minute speed.
Lobstr is super easy to use. It literally takes you less than 2 minutes to set up and launch a scraper. The user interface is beginner friendly, you don’t need to be a nerd to use it.
Launching a Lobstr Twitter scraper is a simple 4 step process. You sync your account, choose scraper, add input, and launch. Easy peesy ✨
You also get a step by step tutorial video and how-to guides with each article to make it even easier to launch a scraper.
Pros | Cons |
---|---|
Affordable pricing + free tier | Supports CSV only as download option |
Bypasses login wall | |
Fast scraping | |
Accurate and organized data | |
Cloud-based | |
Beginner-friendly interface | |
API access | |
Multiple data export options |
Lobstr.io is best for individuals and businesses of all sizes. From small businesses on a budget to data collection at scale. Lobstr is the perfect choice.
Our #2 is also a French company. Phantombuster is a web scraping and automation company offering a wide range of Twitter automations.
Pros | Cons |
---|---|
Multiple twitter automations for enrichment | Limited export options |
Well organized data | Expensive |
Download data as JSON and CSV | No API access |
Clean user interface | |
Better scheduling options | |
Bypasses login wall |
Phantombuster is best for medium and large sized businesses who are not on tight budget. It offers less data than lobstr, but can automate your Twitter related tasks completely.
Next is Apify, a Czech data company and a marketplace for web scrapers. The marketplace has many Twitter scrapers, but for this comparison, I’ve selected the ones maintained by Apify.
Pros | Cons |
---|---|
Clean API documentation | Nerdy interface |
Multiple integrations and export options | Too expensive + extra charges |
Has alternative choices for each scraper | No login bypass |
Well organized data | |
Download data as csv, xlxs, xml, and more |
Apify is not for businesses needing data at scale due to extra charges for frequent data collection. It’s best for small scale projects and one time data needs.
Octoparse is a US data services company. It offers a visual scraping software for desktop with ready-made scraping templates for different platforms including Twitter.
Pros | Cons |
---|---|
Visual scraper for custom scraping | Extremely slow |
No execution time/credits limit | Difficult to use interface |
Multiple export options | No template for search results scraping |
Multiple download formats | Requires manual cookie input |
Cloud-based scraping supported | |
Affordable pricing plans |
Octoparse is suitable for both small business and enterprises as it doesn’t limit the data collection. The only problem is the learning curve and slow scraping.
Next in our list is Webautomation.io, a UK based data solutions company offering multiple ready-made data scrapers for different platforms including Twitter.
Pros | Cons |
---|---|
Easy to use | Can not extract search results |
Multiple download formats including Excel | Limited data attributes |
Cloud-based with schedule feature | Uptime issues |
API access | |
Multiple integrations supported |
Since webautomation.io doesn’t scrape search results, it’s good for profile analysis. Due to affordable pricing, this tool is suitable for small businesses and personal projects.
Here’s a bonus for peeps who were waiting for a chrome extension in the list.
Magical is an AI powered chrome extension used for automating web activities. It can be used to automate Twitter data collection.
Pros | Cons |
---|---|
Has AI support | Not cloud-based |
Can integrate to many apps | Speed depends on internet connection |
Point and click scraping | No schedule feature |
A bit tricky to use | |
No proxies to avoid Twitter ban |
Magical is more of a task tool than a web scraping tool. You can use it to save time but it’s not suitable for data mining at scale.
After comparing all 5 scrapers from the list, it’s clear that Lobstr.io is the fastest Twitter scraper. It also extracts the most number of data points.
You can either use Twitter’s official API with tweepy, or use python libraries like BeautifulSoup to scrape Twitter data.
You can use APIs provided by Twitter scrapers in the list. Lobstr, Apify, and WebAutomation offer API access.
That’s a wrap on our comparison of best Twitter scrapers. Ultimately Lobstr.io wins the race 🏆 with its fastest speed, most data attributes, and most affordable pricing.
My second choice will be Phantombuster, for its vast arsenal of automations. But I leave the ultimate decision to you. Give all of them a try and choose the best fit for your scraping needs.
Self-proclaimed Head of Content @ lobstr.io. I write all those awesome how-tos, listicles, and (they deserve) troll our competitors.