Twitter Sentiment Analysis Dataset
Use our Twitter dataset for sentiment analysis to enhance your strategies and reveal emerging trends in social media interactions and public opinions.
Trusted by 20,000+ customers worldwide
Available Twitter and related datasets
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
Instagram - Profiles
16.9K+
2.1K+Instagram - Posts
LinkedIn posts
X (formerly Twitter) - Posts
TikTok - Profiles
Youtube - Videos posts
Facebook - Pages Posts by Profile URL
TikTok - Posts
YouTube - Channels
Reddit- Posts
X (formerly Twitter) - Profiles
Instagram - Reels
Facebook - Comments
Instagram - Comments
Facebook - Posts by group URL
Facebook Marketplace
Facebook - Posts by post URL
TikTok - Comments
Reddit - Comments
Facebook - Profiles
Pinterest - Posts
Youtube - Comments
Facebook - Pages and Profiles
Facebook Events
Facebook - Reels by profile URL
Facebook Company Reviews
Quora posts
Pinterest - Profiles
Vimeo - Videos posts
Bluesky - Posts
Top 500 Bluesky Profiles
Snapchat posts
Filter the Twitter Sentiment Analysis dataset with a single prompt
Describe exactly what you need, and let AI apply the perfect filters in seconds.
- Describe data needs in plain English
- AI applies accurate filters automatically
- Narrow huge datasets to only what matters to you
- Cut costs by skipping irrelevant data
- Export filtered data in your preferred format
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
Twitter posts dataset sample
The Twitter datasets encompass essential fields like tweet text, author details (username, description), posting date, media content (photos, videos), URLs, user interactions (quoted posts, tagged users), engagement metrics (replies, reposts, likes, views), external links, and hashtags.
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Power AI Agents Instantly
Our Twitter Sentiment Analysis datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Twitter 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 Twitter 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 Twitter datasets for sentiment analysis
Trend Discovery
Advertise Your Brand
Monitor Brand Reputation
Twitter Sentiment Analysis Dataset FAQs
How often is the Twitter Sentiment Analysis dataset updated?
The Twitter Sentiment Analysis dataset is available with flexible refresh schedules: one-time, bi-annual, quarterly, monthly, weekly, or daily - with deeper discounts for higher-frequency subscriptions (up to 80% off on monthly plans). You can also choose between pre-collected data (instantly available, collected within the last days to months) or freshly collected data gathered on-demand at the time of your order. The freshness window can be defined before checkout.
Can I purchase a subset of the Twitter Sentiment Analysis dataset?
Yes. You can filter the Twitter Sentiment Analysis dataset to include only the records and data fields you need - by geography, timeframe, category, or any supported field - using Bright Data's AI-powered filter tool or the Filter Dataset API. You only pay for the records in your filtered snapshot, which can substantially reduce cost. Filters support operators like equals, includes, greater than, is null, and more, with up to 3 levels of nested logic.
What formats and delivery options are available for the Twitter Sentiment Analysis dataset?
The Twitter Sentiment Analysis dataset is delivered in your choice of JSON, NDJSON, JSON Lines, CSV, XLSX, or Parquet, with optional .gz compression. Delivery destinations include: Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Snowflake, Google PubSub, SFTP, Webhook, or Email. You can also download directly via the Control Panel (up to 5 GB) or retrieve programmatically via the Snapshot Download API. For snapshots larger than 5 GB, download links are sent by email.
Can I get a free sample of the Twitter Sentiment Analysis dataset before purchasing?
Yes. Every dataset in the Bright Data Marketplace - including the Twitter Sentiment Analysis dataset - offers a downloadable data sample at no cost. You can preview the data schema, field definitions, and a representative set of records to evaluate quality, coverage, and relevance before committing to a purchase. Samples are available directly from the dataset page in the Bright Data Marketplace.
Can I request specific data fields or a custom version of the Twitter Sentiment Analysis dataset?
Yes. You can customize the Twitter Sentiment Analysis dataset to include only the specific fields you need, hiding irrelevant columns to reduce cost and simplify integration. For more advanced needs - such as a proprietary data schema, enriched fields, or a source not currently in the marketplace - Bright Data's team can build a custom dataset tailored to your requirements. Contact the sales team to discuss your use case.
How does the Twitter Sentiment Analysis dataset integrate with my existing systems and workflows?
The Twitter Sentiment Analysis dataset is built for seamless integration. You can pull data programmatically using the Marketplace Dataset API (with SDKs available for Python and JavaScript), push results directly to your data warehouse or cloud storage, or connect via native integrations with tools like Snowflake, AWS, Google Cloud, Databricks, and automation platforms like Zapier, Make.com, and n8n. The async workflow (trigger - poll - download) makes it easy to embed into any pipeline.
Is the Twitter Sentiment Analysis dataset ethically sourced and legally compliant?
Yes. All Bright Data datasets - including Twitter Sentiment Analysis - are collected exclusively from publicly available online sources in compliance with applicable laws and regulations, including GDPR, CCPA, and Bright Data's own Code of Ethics. Bright Data holds ISO 27001 certification and is SOC 2 compliant. Data undergoes rigorous quality assurance before delivery. You can review Bright Data's full compliance posture at the Trust Center.
What does the Twitter Sentiment Analysis dataset cost, and are there volume discounts?
Pricing for the Twitter Sentiment Analysis dataset starts at $250 for 100K records (approximately $0.0025 per record) for a one-time purchase. Subscription plans unlock significant savings: up to 25% off bi-annual, 50% off quarterly, and 80% off monthly refresh plans. Volume tiers are available for 100K, 500K, 1M, 5M, and 20M+ records. Dataset bundles (purchasing two or more datasets together) and smart update options (paying only for new or changed records) provide additional savings. For enterprise-scale pricing, contact the Bright Data sales team.
What is a snapshot, and how does the Twitter Sentiment Analysis dataset delivery process work?
When you order the Twitter Sentiment Analysis dataset - or filter it via API - Bright Data generates a snapshot: a point-in-time export of your selected records. The async workflow runs as follows: (1) your order or API call triggers the collection job; (2) you can poll the job status using the snapshot ID; (3) once complete, you download the snapshot via the API or your configured delivery destination. Snapshot metadata (including error codes and initiation type) is accessible via the Snapshot Metadata API.
Can I use the Twitter Sentiment Analysis dataset for AI and machine learning projects?
Yes. The Twitter Sentiment Analysis dataset is structured and validated for immediate use in AI and ML workflows, including LLM fine-tuning, model training, RAG pipelines, and agent knowledge bases. Data is delivered in standard ML-ready formats (JSON, Parquet, NDJSON) with consistent schemas and documented field definitions accessible via the Dataset Metadata API. Bright Data also offers specialized AI data packages and a web archive with 50+ PB of historical data for large-scale pre-training.