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9 Best Twitter Scrapers in 2023: How to Gather Valuable Twitter Data

Hey there! Are you looking to tap into Twitter‘s massive trove of social data for research, analytics or business purposes? Twitter‘s free API has serious limitations, but scrapers provide the answer!

In this guide, I‘ll walk you through my top picks for the 9 best Twitter scraping tools available in 2023. I‘ll also give you a crash course on how to ethically scrape Twitter data step-by-step. Let‘s dive in!

Why Scrape Twitter Data?

With over 300 million highly active users, Twitter offers invaluable insights into trends, conversations, influencers and more. Researchers, marketers, analysts and journalists regularly mine Twitter data to:

  • Track real-time reactions and sentiment around events, brands, issues.
  • Analyze hashtag volumes and trends.
  • Model predictive analytics based on tweet content and metadata.
  • Identify influencers and communities relevant to a niche.
  • Gather consumer insights and feedback.

And much more! Twitter data enables all kinds of competitive intel and data-driven decisions.

But here‘s the problem: Twitter‘s free developer API has strict rate limits, constraining how much historical data you can access. This is where scrapers come to the rescue!

What is a Twitter Scraper?

A Twitter scraper is a software tool that collects public Twitter data by programmatically browsing the site, mimicking human behavior. Scrapers provide targeted data extraction beyond the constraints of Twitter‘s API limits.

Anything publicly visible on Twitter can be scraped, including:

  • Tweets and reply threads
  • User profiles
  • Followers and following lists
  • Bios, locations, join dates
  • Likes, retweets, hashtags
  • Media content

Scrapers compile this data into datasets for further analysis and insights. Let‘s look at some top scraping tools…

9 Best Twitter Scraping Tools for 2023

Here are my top picks for reliable, full-featured Twitter scrapers that deliver the goods:

1. Octoparse – Ideal for Beginners

Octoparse is the perfect Twitter scraper for non-coders. It provides an intuitive click-and-select interface allowing anyone to easily extract data from Twitter profiles, feeds, hashtags and more.

Octoparse has handy pre-built scrapers for major social platforms. It also gives you tools to visually design custom extractors. Usage is based on the number of threads scraped, with plans starting at $99/month.

Key Features:

  • Beginner-friendly graphical interface
  • Pre-built Twitter scrapers
  • Customizable data extraction
  • IP rotation to avoid blocks
  • Scrape limiting to avoid abuse

Octoparse is great for entry-level Twitter analytics. The visual workflow caters to non-programmers.

2. Phantombuster – Scraping With Rotating Proxies

Phantombuster offers API access and browser extensions that make self-service Twitter scraping a breeze. It focuses on proxy rotation and automation to enable high-volume data extraction that avoids Twitter blocks.

Plans scale based on usage, starting at $329/month. Phantombuster also provides hands-off scraping services starting at $999/month, if you‘d rather offload the work.

Key Features:

  • Automatic proxy rotation
  • Custom API integrations
  • Headless browser scraping
  • Hands-off scraping services
  • Free 14-day trial

Phantombuster is ideal for large-scale Twitter analytics that require smooth proxy rotation to stay under the radar.

3. ScraperAPI – Blazing Fast Scraping

ScraperAPI is purpose-built for flexible, high-performance web data extraction. It offers excellent tools for gathering intel from Twitter timelines, trends pages, user profiles and more.

ScraperAPI provides instant access to millions of rotating proxies and integrated CAPTCHA-solving for seamless scraping. Pricing starts at $79/month for general scraping needs.

Key Features:

  • Millions of fast residential proxies
  • Integrated CAPTCHA solving
  • Custom scraping scripts
  • Affordable pricing
  • Generous free trial

ScraperAPI‘s blazing scraping speed, proxy network and instant CAPTCHA solving power massive Twitter data collection.

4. BrightData – Superior Proxy Reliability

BrightData is driven by one of the largest proxy networks on the market, providing lightning-fast, reliable data extraction. Their tools make it a breeze to target any tweet data based on keywords, usernames, hashtags, locations etc.

Plans start at $500/month for 150k monthly page loads. Pricing is higher than other tools but BrightData‘s scale and uptime offer superior reliability for mission-critical Twitter analytics.

Key Features:

  • Massive, highly reliable proxy network
  • Fast precise tweet targeting
  • Generous free trials
  • Custom scrapers available

BrightData‘s enterprise-grade proxy infrastructure enables rock-solid Twitter data harvesting under heavy loads.

5. Apify – Specialized Twitter Scraping

Apify takes a highly focused approach – specializing in scraping Twitter accounts and building detailed user datasets. It extracts profiles, followers, tweets, engagements, trends and more.

The headless Chrome engine and proxy rotation enable heavy scraping volumes. Pricing is based on compute time, starting at $0.10 per minute.

Key Features:

  • Specialized account and user data scraping
  • Headless browser engine
  • Integrated proxy rotation
  • Powerful extraction tools
  • Pay-as-you-go pricing

Apify provides tailored solutions for extracting Twitter‘s rich profile, user and engagement data.

6. ScrapingBee – Simple Tweet Scraping

ScrapingBee is designed for quick, easy harvesting of tweets by keyword, hashtag, or filters like dates/users. Just input search parameters and it handles the tweet compilation automatically.

Plans start at $99/month for 50k page loads. ScrapingBee also offers browser extensions and custom scraping, but the primary focus is straightforward tweet harvesting.

Key Features:

  • Fast targeted tweet scraping
  • Browser extensions available
  • Affordable pricing plans
  • Generous free trials

ScrapingBee is perfect for sporadic, targeted Twitter tweet scraping based on keyword searches.

7. Helium Scraper – User-Friendly Web Scraping

Helium Scraper aims to make web data extraction as easy as possible for non-developers. Its intuitive point-and-click interface allows anyone to scrape tweets, profiles, trends and more in minutes.

Under the hood, Helium Scraper handles CAPTCHAs, blocks and IP rotation automatically. Pricing starts at $99/month for one user.

Key Features:

  • Beginner-friendly point-and-click UI
  • Prebuilt Twitter scrapers
  • Automatic CAPTCHA solving
  • IP rotation and proxy support
  • Affordable single-user pricing

Helium Scraper brings user-friendly, visual web scraping capabilities to entry-level Twitter mining.

8. – Managed Twitter Extraction offers self-service DIY scrapers as well as fully managed Twitter data extraction services. Their AI-powered tools simplify targeting specific tweet data. can scrape tweets, threads, trends, profiles, engagements and more. Plans start at $99/month, with enterprise services available.

Key Features:

  • Self-service and managed Twitter scraping
  • AI-assisted targeting
  • Hands-off large-scale scraping
  • Generous free trials allows you to offload Twitter scraping to their experts or take the DIY route.

9. Simple Browser Scraping

If you just need to do some simple Twitter data collection, provides a free browser extension scraper. It lets you grab profile details, tweets, followers and other publicly viewable data.

The browser-based approach is quick and easy but has limitations in scale compared to heavy-duty scrapers. Still, it‘s a great free option for sampling Twitter data.

Key Features:

  • Simple browser-based scraping
  • Free plans available
  • Easy tweet and user data extraction
    -CSV and Excel data output is the best free tool if you just need to gather some basic Twitter data.

Key Scraping Considerations

Here are some key factors to evaluate when choosing a Twitter scraping tool:

Budget – Prices range from $79 to $500+ per month. Evaluate how much you can invest.

Scale – Assess how much Twitter data you need to ingest regularly. Some tools are better optimized for heavy usage than others.

Capabilities – Not all scrapers are created equal. Make sure it can extract the Twitter elements you need (tweets, users, trends etc).

Ease of use – Some scrapers require coding skills, while others offer graphical UIs. Choose your comfort level.

Compliance – Select a reputable provider that scrapes ethically and provides options like opt-out requests.

Support – Look for responsive customer support in case you need help using the tool.

Is Scraping Twitter Data Legal?

There is understandable confusion around the legality of web scraping without explicit permission. However, most legal experts agree that scraping publicly accessible data is permissible, as long as it‘s done ethically and reasonably.

Public Twitter data is visible to anyone browsing Twitter. Scraping tools simply automate the collection process. Twitter‘s terms prohibit scraping private account data – so stick to public posts only.

In sum:

  • Stick to publicly posted info only
  • Don‘t overload Twitter‘s servers
  • Use scraped data legally/ethically
  • Respect opt-out requests
  • Consult an attorney if unsure

These guidelines will generally keep your brand legally in the clear. Ultimately, what matters is how you use the data.

How To Scrape Twitter Data in 5 Simple Steps

While scrapers all work a bit differently, the basic process is straightforward:

Step 1 – Choose Data Targets

Decide what Twitter data you want to extract. Popular targets include:

  • Tweets by keyword, filters or user
  • User profiles and metadata
  • Followers/following of accounts
  • Hashtag volumes and trends

Step 2 – Configure Tool Settings

Input your search filters, date ranges, usernames or other criteria that define the data scope.

Step 3 – Initiate the Scrape

Kick off the harvesting job. Most scrapers provide buttons to directly launch extraction.

Step 4 – Let It Run

Leave the tool to scrape Tweets, threads, profiles etc. based on your inputs. This can take hours or days depending on scale.

Step 5 – Download Dataset

When complete, your scraper will compile the extracted data for you to download in CSV, Excel or other formats.

And that‘s it – you‘ve successfully scraped a valuable Twitter dataset for analysis!

Getting the Most From Your Data

Once you‘ve scraped your Twitter cache, here are some ideas to gain insights:

  • Sentiment analysis around events, brands, issues
  • Trend analysis by hashtag popularity
  • Identify key topics and conversations
  • Influencer identification and profiling
  • Competitive benchmarking
  • Demographic studies
  • Opinion polling and feedback

The applications are endless! Twitter data opens exciting opportunities for monitoring, research and strategic decisions.

Don‘t Forget Twitter Analytics Tools!

While scrapers provide expanded Twitter data access, it‘s also worth looking into analytics tools like Brandwatch, Talkwalker, Sprout Social and more.

They provide robust dashboards and reporting that can further enrich Twitter datasets from your scraper. The combination offers in-depth mining not possible through the API alone.

Alternative Free Twitter Scraping Options

If budget is tight, some free (but limited) options for sampling Twitter data include:

  • browser extensions
  • Google Sheets IMPORTXML function
  • Importing Twitter data into Excel
  • Twitter‘s academic research access

However, these options pale in comparison to full-fledged scrapers. Free trials of paid tools let you test capabilities with zero commitment.

Let‘s Start Scraping!

Scrapers unlock game-changing Twitter data intelligence beyond API constraints. I hope this overview gives you a solid foundation for picking the right tool and scraping Twitter smoothly.

If you have any other questions as you evaluate scrapers, feel free to reach out! I‘m always happy to help you tap into Twitter‘s analytical potential.

Here‘s to discovering powerful consumer insights within those tweets!



Michael Reddy is a tech enthusiast, entertainment buff, and avid traveler who loves exploring Linux and sharing unique insights with readers.