Tweets Datasets
Leverage our Tweets dataset to refine your strategies and uncover emerging trends in social media and communication patterns
- Over 1.6 million records available
- Multiple subsets to choose from
- Free Tweet samples for download
Trusted by 20,000+ customers worldwide
Tweets dataset sample
The Tweets dataset offers an in-depth view of user interactions and content dynamics on Twitter. Key fields include tweet ID, author details (username, name), post text, publication date, media content (photos), URL, quoted posts, tagged users, and engagement metrics like replies, reposts, likes, and views. Additionally, it captures hashtags and external URLs, providing a snapshot of tweet content and interactions.
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Tweet datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Tweets data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use Tweet datasets
Sentiment Analysis for Customer Feedback
Competitor Analysis
Crisis Management and Response
Tweets Dataset FAQs
What data is included in the Tweets dataset?
The Tweets dataset provides publicly available data points tailored to capture tweet text, hashtags, user profiles, posting timestamps, and engagement metrics for popular tweets.
Can I get updates for my purchased Tweets dataset?
Yes, you can get updates to your Tweets dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Tweets dataset?
Yes, you can purchase a Tweets subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Tweets dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape public Tweets by myself?
If you don’t want to purchase a dataset, you can start scraping Tweets using our Twitter scraping tool.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Tweets dataset?
Yes, you can request specific data points from the Tweets dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Tweets dataset directly into my existing systems?
Absolutely, the Tweets dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How Tweet datasets can help me?
Utilize our Tweets dataset for diverse applications to strengthen business strategies and gain market insights. Analyzing this dataset offers a comprehensive understanding of social media dynamics, enabling organizations to enhance their communication and marketing approaches. Access the complete dataset or choose specific fields to suit your needs.
Popular use cases include sentiment analysis to gauge customer feedback trends and address brand perception, competitor analysis by tracking engagement and sentiment on rival brands, and crisis management by monitoring real-time tweet sentiment and influencer responses during critical events.