Pinterest-dataset-samples

A sample dataset of 1001 Pinterest profiles and posts

A Pinterest dataset sample of over 1000 profiles and posts. Dataset was extracted using the Bright Data API.

Some of the data points that are included in the dataset:

• url: URL of the Pinterest post
• post_id: Unique identifier for each post
• title: Title of the post
• content: Text content of the post
• date_posted: Date when the post was published
• user_name: Username of the user who posted the content
• user_url: URL of the user's Pinterest profile
• user_id: Unique identifier for the user
• followers: Number of followers of the user
• likes: Number of likes received by the post
• categories: Categories or tags associated with the post
• source: Source of the post
• attached_files: Files attached to the post
• image_video_url: URL of the image or video attached to the post
• video_length: Length of the video attached to the post
• hashtags: Hashtags used in the post
• post_type: Type of the post
• comments_num: Number of comments on the post
• comments: Text content of the comments on the post
• discovery_input: Discovery input value

And a lot more.

This is a sample subset which is derived from the "Pinterest Profiles and Posts (public data)" dataset which includes more than 186,000,000 profiles and posts.

Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Dataset delivery type options: Email, API download, Webhook, Amazon S3, Google Cloud storage, Google Cloud PubSub, Microsoft Azure, Snowflake, SFTP.

Update frequency: Once, Daily, Weekly, Monthly, Quarterly, or Custom basis.

Data enrichment available as an addition to the data points extracted: Based on request.

Get the full Pinterest dataset.

What are the Pinterest datasets use cases?

1. Consumer trends

Businesses use Pinterest datasets to identify and act on emerging consumer trends in real-time. By analyzing popular pins and boards, companies gain insights into evolving customer interests and preferences, enabling them to adapt product offerings and marketing strategies to stay aligned with the latest trends.

2. Market research

Brands optimize their social media presence by analyzing Pinterest datasets to understand user interactions and preferences. By identifying influential accounts, they can improve their influencer marketing campaigns, ensuring wider reach and greater credibility within their target audience.

3. Product development

Companies utilize Pinterest data to fuel product development and innovation. Monitoring user activity reveals gaps in the market and unmet consumer needs, allowing businesses to create new products for a highly engaged and interested audience.

Free access to web scraping tools and datasets for academic researchers and NGOs

The Bright Initiative offers access to Bright Data's Web Scraper APIs and ready-to-use datasets to leading academic faculties and researchers, NGOs and NPOs promoting various environmental and social causes. You can submit an application here.