Twitter Tips & Strategies

How to Get Data from Twitter

By Spencer Lanoue
November 11, 2025

Twitter, now X, is a live, unfiltered feed of public opinion, breaking news, and cultural trends happening right now. Tapping into this massive stream of data can give you powerful insights for your brand, your market, and your content strategy. This guide will walk you through the most effective ways to get data from Twitter, from simple built-in tools to more advanced techniques that unlock deep analysis.

Start with What You Already Have: Twitter/X Analytics

Before you look at complex tools or code, start with the free and powerful data hub Twitter gives every user: its native analytics dashboard. This is the perfect place to understand how your own content is performing and who your audience is. It’s your account’s command center for insights.

How to Get There and What to Look For

Getting to your analytics is simple: just head to analytics.twitter.com and log in with your account. Once inside, you’ll find a treasure trove of information about your own activity.

  • Tweet activity: This is the heart of your personal analytics. For every tweet you post, you can see key performance indicators (KPIs) like impressions (how many times it was seen), engagements (likes, replies, retweets), detail expands, and profile clicks. The engagement rate - engagements divided by impressions - is a critical metric for understanding how resonant your content is.
  • Audience demographics: Under the "Audiences" tab, Twitter provides aggregated data about your followers. You'll find information on their primary interests (like technology, business, or music), gender, household income, and geographic location. This helps you paint a clear picture of who you are talking to, which is vital for crafting relevant content.
  • Video analytics: If you post videos, you can see how many people viewed them and, perhaps more importantly, the video completion rate. A low completion rate might signal that your intros aren't engaging enough or that your videos are too long for the platform.

Putting the Data into Action

Don't just look at the numbers - use them to ask questions about your strategy. Filter your tweets by "Top Tweets" to see what has performed best over the last month. Do you notice a pattern?

  • Do questions drive more replies?
  • Do tweets with images or GIFs get more likes and retweets?
  • Do posts published in the morning outperform those published at night?

Use what you learn here to create more of what works. The main limitation is that this dashboard is purely for analyzing your own account. You can't use it to research competitors or broader industry trends.

Level Up Your Search Game with Twitter's Advanced Search

One of the most underutilized tools in a marketer’s toolkit is Twitter’s Advanced Search. It lets you slice and dice the entire public conversation on Twitter with incredible precision, all without writing a single line of code. Think of it as a super-search engine for finding exactly what you need.

You can find it by going directly to twitter.com/search-advanced or by tapping the three-dots menu after performing a regular search on the website.

How to Use Advanced Search for Market Research

Advanced Search breaks down your query into easy-to-use fields. Here are some practical ways to use it to gather valuable data:

  • Competitor Analysis: Wondering what people are saying about a rival brand? In the "All of these words" field, enter their brand name. To filter out their own promotional content, add their official handle to the "From these accounts" field and then check the "Exclude" option. You’re now looking at what everyone else is saying about them.
  • Finding Customer Pain Points: Combine an industry keyword (e.g., "project management software") with phrases that suggest a problem (e.g., "is so frustrating," "is there a better way," "buggy"). This search surfaces real people expressing real needs - the perfect inspiration for content or new product features.
  • Discovering Positive Testimonials: Look for opportunities to engage with happy customers. Search for your brand name paired with phrases like "love," "amazing," or "highly recommend." You can use these insights for social proof and to better understand your brand’s strengths.
  • Identifying Popular Content: Want to find viral tweets in your niche? Type a relevant hashtag or keyword into the "Any of these words" field, then navigate to the "Engagement" section. You can set a minimum number of replies, likes, or retweets. This instantly shows you the top-performing content others are creating on a given topic, providing clear inspiration for what resonates.

Advanced Search is fantastic for qualitative research - gathering individual examples and getting a feel for the conversation. Its main drawback is that it’s a manual process, you still need to scroll through the search results and compile any findings on your own.

For a Deeper Data Dive: Using the X API

When you need to collect and analyze large volumes of Twitter data systematically, the only real solution is the X API (Application Programming Interface). It's the official gateway that allows developers and researchers to programmatically pull data directly from Twitter’s servers. It’s what powers nearly all third-party Twitter tools.

Using the API requires an approved developer account and some comfort with programming (Python is a popular choice). The landscape has changed significantly, so understanding the access tiers is important.

Understanding the X API Tiers

  1. Free Tier: This new, limited tier is primarily designed for content publishing. However, it still allows for a very small number of data pulls per month - around 1,500 Tweets - at the application level. It is good for small-scale experiments or testing an idea, but not for ongoing monitoring.
  2. Basic Tier ($100/month): A step up that’s much more useful for hobbyists, independent researchers, and small projects. It provides a higher rate limit, allowing you to pull significantly more data. This is often the starting point for anyone who wants to monitor specific keywords or hashtags consistently.
  3. Pro and Enterprise Tiers: These are the high-stakes levels built for major businesses, social media analytics companies, and large-scale academic studies. They offer massive data access, including historical data, but come with a very high price tag.

A Simple Walkthrough of the Process

If you're ready to get your hands dirty, the process generally looks like this:

  1. Apply for a Developer Account: You’ll need to go to developer.x.com and request access, explaining in detail what you plan to build or research.
  2. Create a Project and App: Within your developer dashboard, you’ll organize your work by creating a Project and then an App within it.
  3. Get Your Keys &, Tokens: The platform will generate a set of unique credentials (API Key, API Secret, Access Token, etc.). Treat these like passwords! They authenticate your script and give it permission to access the API on your behalf.
  4. Write a Script to Pull Data: Using a programming language like Python and a helpful library like Tweepy, you can write a few lines of code to connect to the API, specify your query, and fetch the tweets. For a beginner, the query could be as simple as pulling the 100 most recent tweets that mention your brand name.

Your conceptual code snippet might look something like this:

# This is a conceptual example in Python

# 1. Connect to the API with your secret keys
client = connect_to_x_api(your_bearer_token)

# 2. Define exactly what you're looking for
# Find recent tweets containing #BrandMonitoring that are not retweets
search_query = "#BrandMonitoring -is:retweet"

# 3. Request the tweets from the API
response = client.search_recent_tweets(query=search_query, max_results=100)
tweets = response.data

# 4. Now you have a list of tweets to analyze
# You can save them to a file, run sentiment analysis, etc.
for tweet in tweets:
print(tweet.text)

The API is by far the most powerful and flexible way to collect Twitter data, allowing you to do anything from sentiment analysis and trend tracking to network mapping. The main challenge is the technical skill required and, depending on your needs, the cost associated with the higher tiers.

The Shortcut: Using Third-Party Data Tools

If you don’t have the time or technical expertise to use the API directly, you're in luck. A whole ecosystem of third-party tools exists to do the heavy lifting for you. These platforms connect to the Twitter/X API on the back end and provide you with a clean, user-friendly interface to search, monitor, and analyze conversations.

Types of Tools and Their Uses

  • Social Listening &, Brand Monitoring Tools: Services like Brand24, Talkwalker, and Meltwater are built to continuously track mentions of your brand, your competitors, keywords, and hashtags. You simply set up a query (e.g., your company name) and the tool will collect every relevant tweet in real time. They often come with built-in features like sentiment analysis (flagging mentions as positive, negative, or neutral), influencer identification, and share-of-voice reporting against your competitors.
  • All-in-One Social Media Management Platforms: Most full-featured social media management platforms include analytics and light social listening features. While they may not be as robust as a dedicated monitoring tool, they can often track mentions, monitor hashtag performance, and generate reports on your profile’s growth and engagement right alongside your scheduling calendar.

When a Third-Party Tool Makes Sense

A dedicated third-party tool is your best bet when you need ongoing, automated monitoring without the fuss of coding. It’s ideal for:

  • Tracking brand health and customer sentiment over time.
  • Managing a PR or brand crisis by catching negative conversations early.
  • Running campaign-specific analysis by monitoring a specific event hashtag.
  • Conducting in-depth competitor intelligence on a regular basis.

The main consideration here is cost, as most of these tools operate on a monthly subscription model, but the time they save can provide an immediate return on investment for any serious marketing team.

Final Thoughts

Getting useful data from X (formerly Twitter) is entirely achievable, whether you're clicking through your own dashboard, building targeted queries with Advanced Search, or running complex scripts against the API. The best method depends on your goal - are you optimizing your own content, spying on a competitor, or analyzing a market-wide trend? - along with your budget and technical comfort level.

While pulling this kind of raw data is powerful for analysis, managing your daily social media requires tools that help turn those insights into action. At Postbase, we believe understanding your audience is the first step toward building a presence that matters. That’s why we designed our analytics dashboard to be clear, actionable, and integrated directly with your content plan. We give you a straightforward view of your performance across all platforms, so you can easily see what’s working, spot trends, and use that knowledge to create better content without ever leaving your workflow.

Spencer's spent a decade building products at companies like Buffer, UserTesting, and Bump Health. He's spent years in the weeds of social media management—scheduling posts, analyzing performance, coordinating teams. At Postbase, he's building tools to automate the busywork so you can focus on creating great content.

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