Tweets Datasets
Use our dataset to analyze detailed information about tweets, including post content, author username, hashtags, mentions, likes, retweets, replies, and posting date. This dataset provides a comprehensive view of engagement metrics and trending topics, tailored for researchers, marketers, and social media analysts.
- Over 15.4M records available
- 100% ethical and compliant data collection
- Free data samples for download
- Starting from price $250/100K records
Confiado por 20,000+ clientes
Available Socia Media Datasets
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Instagram - Profiles
Instagram - Posts
LinkedIn posts
X (formerly Twitter) - Posts
TikTok - Profiles
Facebook - Pages Posts by Profile URL
TikTok - Posts
Youtube - Videos posts
YouTube - Profiles
X (formerly Twitter) - Profiles
Instagram - Reels
Facebook - Comments
Instagram - Comments
Reddit- Posts
Facebook - Posts by group URL
TikTok - Comments
Facebook Marketplace
Facebook - Posts by post URL
Reddit - Comments
Youtube - Comments
Pinterest - Posts
Facebook - Reels by profile URL
Facebook Company Reviews
Facebook Events
Pinterest - Profiles
Quora posts
Bluesky - Posts
Vimeo - Videos posts
Top 500 Bluesky Profiles
Twitch - streams dataset
Threads - Posts
Threads - Profiles
TikTok - Posts by URL Fast API
Snapchat profile
TikTok - Posts by Search URL Fast API
TikTok - Posts by Profile Fast API
Maximize value with strategic cost savings
Smart Data Updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need"
Dataset Bundles
Gain greater value by purchasing two or more datasets together, with exclusive discounts.
Volume Discounts
Get more for less with significant savings when purchasing large datasets or updates subscriptions
Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset
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.
Precios de conjuntos de datos
- Libres y validados
- Se actualiza cada mes
- JSON/CSV/Parquet
Tweet datasets tailored to your needs
Suscripción a datos
Suscríbete para acceder a conjuntos de datos por un precio mucho más bajo.
Formatos de exportación de los archivos
JSON, NDJSON, JSON Lines, CSV, Parquet. Compresión opcional en .gz.
Entrega flexible
Snowflake, almacenamiento de Amazon S3, Google Cloud, Azure y SFTP.
Datos ajustables a escala
Ajusta la escala sin preocuparte por la infraestructura, por los servidores proxy o por los bloqueos.
Ahorro de costes
Personaliza cualquier conjunto de datos con filtros y con opciones de formato.
Mantenimiento de código
Los conjuntos de datos se mantienen en función de los cambios que se realicen en la estructura del sitio web.
Integraciones simplificadas
Saca partido de las integraciones con Snowflake y AWS.
Servicio de asistencia disponible las 24 horas del día
Un equipo exclusivo de expertos en datos está aquí para ayudarte.
Líderes en cumplimiento
Los datos se obtienen de forma ética y cumplen con todas las leyes de privacidad.
Get structured and reliable Tweets data
Te facilitamos los datos mientras tú te centras en lo demás
Datos web de gran volumen
Con nuestras funciones de desbloqueo y de rotación de las direcciones IP las 24 horas del día, garantizamos el acceso a todos los puntos de datos de un sitio web.
Datos para uso inmediato
Todos los aspectos del proceso de recopilación de datos se validan a fondo como parte de nuestro potente proceso de validación de datos.
Flujo de datos automatizado
Crea cronogramas personalizados para automatizar la entrega de datos y comprueba cómo los datos fluyen sin problemas hacia su almacenamiento.
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.