Hey there! Are you struggling to find high-quality datasets for your programmatic SEO projects? Trust me, I’ve been there too.
As an SEO enthusiast, I understand the importance of having a top-notch dataset to achieve success in content optimization.
It’s like the foundation of your SEO strategy. But let’s face it, finding the right dataset can be a real challenge. There’s no one-size-fits-all approach, and it often feels like searching for a needle in a haystack.
But don’t worry, because I’ve got some insights to share with you. In this post, I’ll reveal my personal method for How To Find Datasets For Programmatic SEO. Let’s get right started, shall we?
What Is The Purpose Of Programmatic SEO Datasets?
When it comes to programmatic SEO projects, datasets are like gold mines for me. They contain all the necessary data points that I can map to my page templates, allowing me to create hundreds or even thousands of pages in one go.
It’s a game-changer!
Let me walk you through my approach. I usually start with a clear understanding of the keywords I want to target.
Armed with this knowledge, I dive into the world of datasets, searching for the perfect ones that align with my SEO goals. It’s like embarking on a treasure hunt!
As I navigate through various sources and platforms, I keep my keywords in mind, looking for datasets that provide the relevant data points I need.
It’s like connecting the dots between my keywords and the datasets that hold the key to unlocking their potential.
With each dataset I discover, I analyze its quality, relevance, and accuracy. I want to ensure that I’m working with the best possible data to fuel my programmatic SEO projects.
It’s like selecting the finest ingredients for a recipe that guarantees success.
As we move forward, let’s examine each of these scenarios:
Data Is Available On One Webpage
1. Take the help of Google
Google is a powerful tool for finding the datasets you need. Here are some ways I leverage Google to discover relevant datasets:
- Search directly for the dataset: I add the “download data” prefix or suffix to my keyword when searching on Google. This helps Google automatically display datasets from multiple websites that match my search query.
- You can use the filetype: search operator: The Google search engine indexes Microsoft Excel files (.xls). You can specifically search for datasets in Excel format by adding “filetype:xls” to your search query.
- Use the site: search operator: This operator allows me to search within a specific website. I can utilize it to find public Google Sheets by adding “site:docs.google.com/spreadsheets” at the end of my search. This narrows down the results to only show Google Sheets from that specific website.
- Search Kaggle or other sites: I can use the site: operator with specific websites like Kaggle. By adding “site:kaggle.com” to my search query, I can focus the results on datasets available on Kaggle.
- Use Google’s Dataset Search: Google’s Dataset Search is a dedicated tool that displays datasets from various websites as search results. It’s a convenient way to explore and find datasets that are relevant to my programmatic SEO projects.
By utilizing these techniques and leveraging Google’s search capabilities, you can significantly improve your chances of finding the datasets you need for your programmatic SEO projects.
It’s like tapping into a vast pool of information to access the data that will fuel your SEO strategies.
2. Search government sites and repositories
You can find public data on almost all governments’ websites for your projects. The data can usually be downloaded for free most of the time.
There are more than 300k datasets available on data.gov, for example, from the US government. Data.gov.in, another government website, provides over 800k datasets and APIs.
A. Raid Reddit
Reddit hosts active communities where you can discover datasets on a wide range of topics.
Here are some notable Reddit communities:
- r/datasets: This community offers a collection of diverse datasets that users have made available. You can explore and download existing datasets, or even request specific datasets for your projects.
- r/OpenData: This subreddit focuses on open data initiatives, where users share and discuss datasets that are freely accessible. It’s a great place to find publicly available datasets that can be utilized for programmatic SEO projects.
- r/DataHoarder: While primarily focused on data storage and archiving, this community often shares large datasets and provides valuable insights for data enthusiasts. You may come across unique datasets that are not easily found elsewhere.
- r/data: This subreddit is dedicated to discussing data-related topics, including datasets. You can find discussions, recommendations, and even dataset requests within this community.
The advantage of these Reddit communities is that they not only provide access to existing datasets but also offer an opportunity to interact with fellow data enthusiasts who may be willing to assist you with specific dataset requests.
B. Raid GitHub
GitHub is a treasure trove of data in various formats.
Here’s how you can leverage it:
- Search directly on GitHub: Visit GitHub.com and search for specific datasets by using relevant keywords. For instance, if you’re looking for car-selling data, search for “car-selling data” on GitHub.
- Use site:github.com on Google: To narrow down your search to GitHub, include “site:github.com” in your Google search query. This will ensure that the search results only display relevant datasets hosted on GitHub.
- Use site:github.com along with inurl:csv: If you specifically need datasets in CSV format, combine “site:github.com” with “inurl:csv” in your Google search query. This will help you find datasets in the desired format on GitHub.
C. Public APIs
Data is not limited to CSV, XLS, or MySQL formats; it can also be available in API format. If you are familiar with working with APIs, you can utilize API data to create programmatic SEO sites.
RapidAPI is a prominent platform offering numerous APIs for various projects, both free and paid.
Explore RapidAPI and other API listing sites like ProgrammableWeb, PublicAPIs, AnyAPI, and API List to discover APIs relevant to your programmatic SEO needs.
D. Search on dataset repositories/search engines
Several dataset repositories and search engines can provide you with access to a vast collection of datasets. Consider the following platforms:
- Kaggle: Kaggle is renowned for its extensive collection of datasets on diverse topics, ranging from finance to satellite images. It offers a vibrant community of data enthusiasts and often hosts data science competitions.
- Awesome Public Datasets: This curated collection features hundreds of datasets across various categories. It is regularly updated by the community, ensuring a wide range of valuable data resources.
- Data World: Data World is a platform that offers access to a diverse range of datasets. It provides collaborative tools for visualization, analysis, and data exploration across different domains.
- DataSN: DataSN offers thousands of properly cleaned datasets in various formats and categories. It is a reliable resource for finding high-quality datasets for your programmatic SEO projects.
- NASA EarthData: If your project requires earth-related datasets, NASA EarthData is an excellent source. It provides access to NASA’s open earth data, which can be valuable for environmental and geographical analyses.
- World Bank Open Data: If you need data related to GDP, finance, population, and other socio-economic factors across different countries, World Bank Open Data is a valuable resource.
- Academic Torrents: Academic Torrents host massive datasets, including those related to research and academia. It offers access to extensive collections of data that can be useful for various programmatic SEO applications.
These dataset repositories and search engines offer a wealth of freely available datasets, making them valuable resources for finding the data you need for your programmatic SEO projects.
Data Is Present On Multiple Web Pages
If the data you need is scattered across multiple web pages from various sites, data scraping becomes essential to collect and consolidate that information automatically. Let’s dive into the details:
- By using no-code tools: For simpler data extraction tasks, several no-code tools are available that make scraping more accessible. Popular options include OctoParse, ScrapingBee, Zyte, and ParseHub. Personally, I have found OctoParse to be quite effective. These tools usually offer features like automatic detection of repeated elements and pagination on web pages, making it convenient to start scraping. OctoParse’s desktop version, for instance, allows scraping up to 10,000 rows of data under the free plan. You can export the extracted data in formats like CSV, XLS, JSON, and MySQL.
- By using custom scripts: For more complex scraping requirements, writing custom scraper scripts is necessary. Python libraries like Selenium, Scrapy, BeautifulSoup, Requests, and lxml offer extensive documentation and functionalities to get started with web scraping. However, it’s important to note that data scraping can be a time-consuming and intricate process. It involves scraping the data and then cleaning it up to make it usable. If you’re not proficient in coding or don’t have the time to invest in learning, I recommend hiring an experienced freelance data scraper. Platforms like Upwork provide access to skilled web scrapers who can handle your scraping needs efficiently, allowing you to focus on other crucial aspects of programmatic SEO.
Keep in mind that while scraping publicly available data is generally not illegal, it’s essential to review and adhere to the terms and conditions of the websites you are scraping.
Additionally, working with a freelance web scraper can alleviate the burden of scraping and data cleaning, providing you with more time and energy to concentrate on other vital aspects of your programmatic SEO projects.
Conclusion: How To Find Datasets For Programmatic SEO 2023
Before we wrap up, let me share a bonus tip with you. Don’t limit yourself to using just one dataset for your programmatic SEO projects; you can actually combine multiple datasets to create something truly unique.
Let me give you an example: imagine you have one dataset with car names and specifications, and another dataset with yearly sales data for those cars.
By merging these datasets, you can create a powerful dataset that includes both the details and sales figures of each car.
Now, once you have your high-quality dataset in hand, the next step is to create an equally high-quality page template that incorporates the data seamlessly.
Remember, it’s not just about having the data; it’s also about presenting it in an engaging and user-friendly manner.
And hey, if you have any questions or need further assistance, don’t hesitate to drop a comment below. I’m here to help you on your programmatic SEO journey. Happy dataset hunting!