Hacker News Datasets
Leverage our Hacker News dataset to refine your strategies and uncover emerging trends in tech discussions and user preferences
- Available as a custom dataset request
- Get accurate data you can rely on
- Tell us the source, we will get you the data
Available Data Points
We will create a custom Hacker News dataset focusing on publicly available data points tailored to your specific requirements. Data points may include article titles, author names, publication dates, scores, comments, and discussion threads.
Subscribe to a data feed for new or updated records
Benefit from strict data validation for accuracy and reliability
Enjoy data collection management with zero effort
Streamline operations with easy data access via API
Hacker News datasets tailored to your needs
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Code maintenance
Datasets are maintained based on website structure changes.
Cost savings
Customize any dataset using filters and formatting options.
Data subscription
Get new or updated records delivered in a fresh data feed.
Flexible delivery
API, Webhook, Google Cloud, S3 bucket, SFTP, Azure, Snowflake.
File output formats
Dataset formats are JSON, ndJSON, CSV, or Excel.
24/7 support
A dedicated team of data professionals is here to help.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Hacker News 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 Hacker News datasets
Competitive Analysis
Sentiment and Trend Analysis
Content Optimization
Flexible pricing, starting from $0.001/record
- Pay only for what you need
- Free samples available
- Cut costs by filtering unnecessary data
Get your Hacker News data today.
Hacker News Dataset FAQs
What data is included in the Hacker News dataset?
We will create a custom Hacker News dataset focusing on publicly available data points tailored to your specific requirements. Data points may include product names, prices, descriptions, ratings, reviews, availability, and store locations.
Can I get updates for my purchased Hacker News dataset?
Yes, you can get updates to your Hacker News dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Hacker News dataset?
Yes, you can purchase a Hacker News 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 Hacker News dataset?
You can choose one of the following formats: JSON, ndJSON, CSV, or XLSX.
Can I scrape Hacker News public data by myself?
If you don’t want to purchase a dataset, you can start scraping Hacker News data using our Web Scraper API.
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 Hacker News dataset?
Yes, you can request specific data points from the Hacker News dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Hacker News dataset directly into my existing systems?
Absolutely, the Hacker News 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 Hacker News datasets can help me?
Leverage our Hacker News dataset for diverse applications to improve business strategies and market insights. Analyzing this dataset can facilitate an understanding of user preferences and trends within the tech community, empowering organizations to refine content strategies and engagement approaches. Access the entire dataset or customize a subset to align with your specific needs.
Popular use cases include optimizing content selections based on user preferences, conducting detailed market analysis and segmentation, and identifying and predicting emerging trends in tech discussions and user behavior.