ImportXML, ImportHTML and ImportFEED in Google Sheets (2024)

This guide dives into the practicalities of using some of Google Sheets' most powerful functions: ImportXML, ImportHTML, and ImportFEED. These functions are game-changers for efficiently pulling data from the web directly into your spreadsheets. Moreover, these sets of functions are unique to Google Sheets and aren’t available on MS Excel. As a result, it has relatively been less explored.

Whether you're tracking website changes, aggregating research data, or analyzing market trends,mastering these toolswill significantlyenhance your ability to make informed, data-backed decisionsquickly and effectively.

Google Sheets has a few easy-to-use data import functions that are great for anyone needing fresh web data. Here's a quick look at the three most important and widely used Import Functions:

1. IMPORTXML: This function grabs structured data from web pages. It's great for pulling specific details like prices or headlines from websites. It can be used to monitor changes in competitors' websites by tracking updates in their HTML or XML data.
2. IMPORTHTML: This one is for fetching tables or lists from web pages. If you need to grab data from a web table, this is your go-to function. It is ideal for marketers who need to compile data from various online sources quickly.
3. IMPORTFEED: Use this to get data from RSS or ATOM feeds, which is perfect for keeping up with news or blog updates. It’s helpful for content creators to gather ideas or stay informed about industry trends.

Each of these functions is designed to make your data collection easier, whether you're updating figures, tracking website changes, or gathering news. They're simple to use and can really help you make the most out of your data in Google Sheets.

Also if you are willing to learn more about IMPORTRANGE function, this guide may help you further in a detailed analysis.

The ImportXML function in Google Sheetsis an indispensable tool for professionals who need to extract specific information from XML, HTML, and XHTML web sources. It's particularly beneficial for SEO specialists and data researchers, as it streamlines the data extraction process, allowing for efficient and targeted retrieval of web content.

This function opens up new possibilities for data analysis and web content monitoring, making it a key skill for anyone dealing with web-based raw data.

Before using IMPORTXML, it's crucial to understand its basic syntax:

=IMPORTXML(url, xpath_query, locale)

Here:

• url: This is the web page link from which you want to import data.
• xpath_query: This is the path that directs to the specific data you need within the webpage's HTML structure.
• locale: This is the language and region locale code that is used when parsing the data. If unspecified, the document locale will be used.

NOTE:Make sure that the apostrophes are not curly quotes.

For example: If we want to look at the heading for a news article about Tech Trends from BBC News, our formula will look something like this:

=IMPORTXML("https://www.bbc.com/news/business-67273155", "//h1", "en_US")

NOTE: Make sure to enclose the url, xpath_query, and locale in quotes for the formula to work properly.

Our output for this would look like this:

Here are a few real-life use cases where the ImportXML function can be typically used.

• SEO Optimization:
  SEO specialists often use ImportXML to track keyword rankings across various websites or monitor metadata changes on competitor sites.
• Financial Analysis:
  Data analysts can import stock market data or economic indicators, providing real-time insights for market analysis.
• Academic Research:
  Researchers and students might gather scientific data or statistical information from online databases for their projects or studies.
• Marketing Insights:
  Marketers can extract consumer feedback or product reviews from websites to gauge public sentiment about their brand or products.

Before diving into the limitations, let's explore 3 practical examples of how ImportXML can be effectively used in Google Sheets

The date of birth is located on the right section of the page.

Here’s how to scrape this information:A step-by-step guide:

1. Identify the Data on the Webpage:

Go to Isaac Newton's Wikipedia page and locate his date of birth.

2. Inspect the Element:

We first select the value on the page. Right-click on the date of birth and select "Inspect". This opens the browser's developer tools.

3. Find the Correct HTML Tag:

In the developer tools, observe that the date of birth is within a <span> tag. Unfortunately, the simple solution of using “//span” as the XPath won’t work as there is more than 1 spans on the page. We thus need to choose the span based on an identifier (could be ID or class name).

4. Identify the Unique Identifier:

Notice the class name of the <span> tag is "bday" in this case.

5. Formulate the ImportXML Query:
   Use the class name to create a specific XPath query. The formula becomes:

=IMPORTXML("https://en.wikipedia.org/wiki/Isaac_Newton", "//span[@class='bday']")

6. Enter and Execute in Google Sheets:
   Place the formula in a cell in Google Sheets and press Enter to import Newton's date of birth.

Similarly, we can extract the HTML tag including the title, meta description, H1, H2s, and so on where the XPath query would become:

Title: "//title"

Meta Description: "//meta[@name='description']/@content"

H1: "//h1"

This method targets and retrieves a specific piece of data by using a unique identifier within the HTML structure, allowing for accurate data extraction.

=IMPORTXML("https://www.semrush.com/", "//a[contains(@href, 'twitter.com')]/@href")

=IMPORTXML("https://www.semrush.com/", "//img/@src")

While ImportXML in Google Sheets is a handy tool, it does face certain challenges:

1. One significant limitation is the restriction on the number of URLs fetched per sheet, which can be a bottleneck for extensive data extraction tasks. Each Google Sheets document is limited to importing data from up to 50,000 URLs in total through all its import functions.
2. More critically, many websites restrict ImportXML from scraping their content, necessitating more advanced methods like Python-based solutions for successful data extraction.
3. Also, ImportXML often fails to process data from complex or JavaScript-heavy websites.

Recognizing these limitations is essential for those relying on ImportXML for their data analysis projects, guiding them to seek alternative methods when necessary.

💡 If manual processes are causing you frustration, find a tool to help automate data retrieval and surpass the limitations of the standard VLOOKUP formula. Explore our comprehensive guide on using VLOOKUP with IF statements in spreadsheets to streamline your tasks.

Before using ImportHTML, it's important to know its basic syntax:

=IMPORTHTML(url, type, index, locale)

Here:

• url: This is the web page link from which you want to import data.
• type: This specifies the type of data you want to import – either "table" or "list".
• index: This is the position number of the table or list on the web page, starting from 1 for the first table or list.
• locale: This is the language and region locale code that is used when parsing the data. If unspecified, the document locale will be used.

NOTE: The URL, Type, and Locale need to be mentioned in straight quotes for the formula to work properly.

Here are some typical real-life use cases for the ImportHTML function:

• Market Research: Analysts can import data from online market reports or industry tables for comparative analysis.
• Event Tracking: Import schedules or event listings from websites for organizing and planning.
• Educational Content: Teachers and students might gather data from educational sites for classroom projects or research.
• Business Monitoring: Businesses can track competitor pricing or product features from e-commerce sites.

Before diving into the limitations, let's explore 4 practical examples of how ImportHTML can be effectively used in Google Sheets.

Using ImportHTML to import HTML tables into Google Sheets is a great way to keep up with dynamic web data.

ImportHTML can also be used to import HTML tables from publicly accessible websites into Google Sheets.

For example: If you want to extract a table about the list of major world payment currencies from this Wikipedia page, you can follow the step-by-step guide for extracting this data using ImportHTML as given below:

1. Select a Cell in Google Sheets:Choose where you want to display the data.
2. Enter the ImportHTML Formula:To import a specific table from Wikipedia's Currency page, use:

=IMPORTHTML("https://en.wikipedia.org/wiki/Currency", "table", 6, "en_US")

This formula targets the sixth table on the page.

3. Execute the Function: Press Enter to import the "List of major world payment currencies" table into your sheet. The output should look like this:

4. Adjust if Needed:Change the index number to import different tables from the same page. The data will update automatically with changes from the source.

ImportHTML also allows for the importation of lists from web pages. This feature is particularly beneficial for educators, who can utilize ImportHTML to import lists of educational resources from public web pages.

For example, to import a list of reference materials available from an educational site, the formula could be:

Understanding how to identify the correct indexes of tables or lists on a website is crucial for successful data importation.

1. Search for Relevant Data: Visit a business or marketing-related website that frequently publishes tables of data, such as Forbes or Business Insider.
2. Locate a Table: Find an article or section that includes a table of data, such as social media statistics, marketing trends, or sales figures.
3. Use the Chrome Inspector Tool: Right-click on the table and select "Inspect" to open the browser's developer tools. Count the tables from the top of the page to find the index of your table of interest.
4. Formulate the ImportHTML Formula: Use the =IMPORTHTML formula in Google Sheets with the URL of the page, "table" as the type, and the index number you identified.

For example, if you want to extract a table of annual marketing statistics provided in the following Forbes article, IMPORTHTML is the way forward:

=IMPORTHTML("https://www.forbes.com/advisor/in/business/digital-marketing/", "table", 1)

The ImportHTML function can also be used to import specific portions of a table. For this, it's important to understand the QUERY function in Google Sheets.

QUERY allows you to manipulate and filter the data imported by functions like ImportHTML. It uses a query language similar to SQL to specify which columns or rows to retrieve or process.

The syntax for the QUERY Functionin Google Sheets is:

=QUERY(data, query, [headers])

• data: The range of cells to perform the query on.
• query: A text using Google Visualization API Query Language, specifying the query to execute on the data.
• [headers] (optional): The number of header rows at the top of the data range. If omitted, Google Sheets guesses the number of headers.
  

=QUERY(IMPORTHTML("https://www.bbc.com/sport/football/australian-a-league/table", "table", 1), "select Col1, Col2, Col3, Col4, Col5", 1)

By using the formula above, you can import and filter only the relevant columns and rows, enhancing the efficiency and relevance of their data analysis. In the given example, QUERY is used in combination with ImportHTML to import only a specific portion of a table from a webpage.

After importing the entire table with ImportHTML, QUERY then selects only the first 5 columns of that table for analysis. This technique is particularly useful for professionals like sports statisticians who need only a subset of a larger dataset, enhancing the relevance and efficiency of their data analysis.

Despite its utility, ImportHTML has some constraints:

• This function can’t import data from web pages that generate content dynamically using JavaScript. This limitation means that some modern web pages might not be compatible with this function.
• The function also relies on the structure of the web page remaining consistent. If the source page undergoes significant layout changes, it may disrupt the data import process.
  

ImportFEED in Google Sheets is a straightforward, yet powerful tool, designed to import RSS and ATOM feeds directly into your spreadsheets. It's particularly beneficial for content creators and small business owners who need to stay updated with the latest industry news, blogs, and competitor information.

With ImportFEED, keeping a pulse on relevant online content becomes seamless and integrated within your regular data analysis workflow.

=IMPORTFEED(url, [query], [headers], [num_items])

Here:

• url: The URL of the RSS or ATOM feed you want to import data from.
• [query] (optional): Specifies what data to fetch from the URL.
• headers (optional, FALSE by default): Includes column headers if TRUE.
• num_items (optional): Number of items to return, starting from the most recent. Without this, all current items are returned.

Please, note that [query] (optional) has a few options to choose from:

• feed: Returns feed info (title, description, URL).
• feed <type>: Returns specific feed attribute (title, description, author, URL).
• items: Returns all items from the feed.
• items <type>: Returns specific attributes of items (title, summary, URL, created date)

Note: The URL and Query need to be mentioned in straight quotes for the formula to work properly.

Real-life applications of the ImportFEED function include:

• News Aggregation: Journalists and bloggers can compile the latest news headlines from various RSS feeds for current event analysis.
• Content Curation: Digital marketers might track industry-related blog posts or articles for content strategy development.
• Market Trends: Businesses can monitor industry trends or competitor announcements via relevant RSS feeds.
• Research Updates: Academics and researchers can stay updated with the latest publications or findings in their field.

Before diving into the limitations, let's explore 4 practical examples of how ImportFEED can be effectively used in Google Sheets.

Content creators can use ImportFEED to pull the latest blog posts or news articles directly into their spreadsheets. By inserting the URL of a relevant feed, they can have a constant stream of the newest content from their industry. This ensures they're always informed about the latest trends and discussions in their field.

1. Select a Cell in Google Sheets:Begin by selecting the cell in your Google Sheet where you want the feed data to appear.
2. Let’s say you want to import the ATOM feed from Google. For that, you can enter the following formula:

Optionally

3. You can also use QUERY [query] to specify a particular part of the feed to import, such as certain tags or attributes. For this, our previous example will be modified to:

• The [headers] parameter is a boolean (TRUE or FALSE) indicating whether to show feed headers.
• [num_items] specifies the number of items to import from the feed. If left blank, Google Sheets imports as many items as possible.

4. Press Enter, and the feed data will populate in the specified cell and adjacent cells, depending on the feed's content and structure.

Small business owners can benefit from this function by setting limits on the number of items fetched from a feed. This feature is particularly useful when monitoring competitor announcements or industry news without getting overwhelmed by too much information.

By retrieving just the right amount of data, they can keep their finger on the pulse of the market without excess clutter.

Example:If you want to fetch the three most recent news items, you can use this formula (make sure to add the correct URL):

Both content creators and small business owners can fine-tune their data import process by selecting specific elements from a feed.​

By targeting only specific details, like the titles of the newest 5 blog posts or news articles, users can ensure their focus remains on the most pertinent information. This focused approach not only saves time but also optimizes content strategy and market analysis.

The formula used:

Despite its utility, ImportFEED has some limitations:

• This function might not be compatible with all feed types, particularly those that are not well-formatted or standard.
• Also, there's a limit on the number of items it can import at one time, which may restrict its use for feeds with large amounts of content. The function can fetch up to 20 items per query by default. However, you can specify a different number using the num_items parameter, up to a maximum of 500 items.

Understanding these constraints is crucial for effectively integrating ImportFEED into your data analysis and monitoring strategies.

Using ImportXML, ImportHTML, and ImportFEED together in Google Sheets allows for a broader and more detailed data analysis. This combination improves data collection from various web sources, providing a fuller understanding of the information available. It's beneficial for fields like marketing, research, or business strategy, as it enables more thorough analysis and informed decisions based on a wide range of data.

Combining ImportXML, ImportHTML, and ImportFEED in Google Sheets offers a full-spectrum data analysis toolkit. By integrating ImportXML, ImportHTML, and ImportFEED in Google Sheets, a digital marketer can:

• Extract key SEO elements like web page title tags.
• Gather the latest news or articles from specific tables on websites.
• Fetch the most recent updates from RSS feeds.
• Create a comprehensive view of market trends and customer opinions.
• Enhance content strategy with diverse, up-to-date web data.
• Make informed, data-driven marketing and business decisions.

This approach seamlessly gathers diverse data types from different sources, providing a rich, well-rounded view of online content, market trends, or customer opinions. It's a concise yet powerful method to drive insightful, data-driven decisions in marketing, research, or business planning.

Enhance your Google Sheets skills with our detailed instructions. These guides cover a range of functions and features, helping you manage and analyze your data more effectively.

• XLOOKUP:A better, more flexible, and modern alternative to VLOOKUP
• ARRAY:Performs multiple calculations on array data, returning an array of results.
• UNIQUE: Extracts unique values from a data range, eliminating duplicates.
• Pivot Table:Automatically summarizes, organizes, and analyzes large data sets, enabling users to extract insights and trends easily.
• CONCATENATE:Joins together two or more text strings into one single string, allowing users to combine text from different cells easily.
• MATCH:Identifies the relative position of a specified value within a range of cells, enabling users to locate the position of data in a table or list efficiently.
• FILTER: Extracts a range of data that meets specified criteria from a larger dataset, allowing users to view only the data that is relevant to their needs.

Learning all of them will help you dive deeper into your collected data and analyze it for deeper insights.

While Google Sheets is a versatile tool for data analysis, it has limitations when handling large datasets or merging data from various sources. This is where the OWOX BI BigQuery Reports Extension comes in.

The OWOX BI BigQuery Reports Extension for Google Sheets makes it easy to create automated business reports. With just a click, you can connect your databases to Google Sheets. It lets you use filters, get live charts, and update data automatically. You can share current reports easily and even use ready-made dashboard templates. This tool is great for anyone who needs to make complex reports in Google Sheets quickly and without manual data mixing.