How to Extract Data from a Website to Excel (No Code)

Intro: How to Extract Data from a Website into Excel (No Code)

In this guide, you'll learn how to extract data from a website into Excel in under 5 minutes using Parsera. You will learn how to extract data from a webpage, multiple webpages, or an entire website - all without writing a single line of code.

🐾 (OVERVIEW) Step-by-Step Guide for Extracting Data from a Website to Excel:

1. Validate: Ensure the data is visible on the webpage.
2. Input: Enter the URL/URLs into Parsera.
3. Describe: Describe the data you want to extract from a Website into Excel using plain text.
4. Extract: Extract data from Website and check the results.
5. Download: Export your data as an Excel, CSV, JSON or Zip file, if you extracted images also.
6. Automate: Schedule the extraction to extract data from a website to Excel automatically.

Let's Extract Data from a Website into Excel in details ⬇️BELOW⬇️

🦶 Step-by-Step: How to Extract Data from a Website to Excel

Step #1: Validate the Source

• Before you begin, simply open the webpage and verify that the information you want to extract is visible.
• If you can see it, Parsera will extract it.

Step #2: Enter the Website URL

💬 Option 1: Copy & Paste the URL

Paste any number of pages` URLs directly into the URL field.

NOTE: you can Paste and Extract data from a Website to Excel from hundreds of thousands of pages in one take!

🔼 Option 2: Upload a File with URLs

Upload a file containing your links. Parsera will automatically:

• extract URLs
• remove duplicates
• prepare them for extraction

📚 Option 3: Use Page Catalogue (Sitemap)

1. Paste the homepage or any other link from the website you want to extract data from. For example:

   • https://diesel.com/en-us/
   • https://diesel.com/en-us/watches/dz2225-watch-silver/DZ222500QQQ01.html

2. Wait a few seconds for Parsera to download the site’s sitemap.

3. Click More Pages and select the pages you want to scrape.

Perfect for extracting data from entire e-commerce categories or catalogs

Step #3 Describe data you want to Extract from Website into Excel

💬 Option 1: Use Prompt

Describe in simple language what to extract from a website. The more specific and clear your prompt - the better the results. For Example:

• Extract E-commerce data: “Extract product title, price, images, and description”
• Extract News articles: "Extract all the quotes, the authors of the quotes, and include the context of every quote from this news article."
• Extract Real Estate data: “Extract title, address, price per square meter of this real estate.”
• Extract Contact Details: “Extract company email, phone number, address, and social media links.”

Note: If you want to extract data from multiple web pages describe columns before Extraction

📊 Option 2: Set Up Columns

Use Columns when you want full control over the structure of your extracted data - especially when you need to get Excel-ready data consistently.

Column Structure is Required for Extraction data from Multiple URLs!

How to Set Column Structure (Step-by-Step Guide)

1. Create a New Column: add column for each data point you want to extract.
2. Name Your Column: Use clear names like title, price, image_url, description, address, etc.
3. Add Column Prompt: Add a short instruction for Parsera for the best data accuracy (e.g., “Extract product price”, “Extract main image URL”, “Extract article headline”).

Step #4 Extract Data from the Website into Excel + Download

1. Click Export and wait for Parsera to extract the data.
2. Review the result.
3. If everything looks good, download your Excel file.

You can extract data from a Website to Excel as well as to JSON, CSV, and Zip file (if you extracting images from website)

Step #5 Tune your Columns (Optional)

If the final data output needs adjustment use Columns Prompt and Data Type to refine specific fields.

You can apply changes like:

• removing currency symbols.
• translating data.
• specify data location on a page.
• and much more.

Step #6: Schedule Extraction Data from Website to Excel (BONUS STEP)

If you need to know how to extract data from website to excel automatically, this step is for you.

Step by Step Guide of Extract Data from Website to Excel automatically:

1. Complete the previous steps.
2. Click on Schedule and set how often extraction should happen (e.g., Daily, Weekly). For example:
   • Set the tool to extract data every day at 8:00 PM
3. Parsera will automatically extract the data and store it in the History section under the Scheduled tab.
4. You can access this at any time and download your Excel files.

➡️ Final Thoughts & Summary

Many people ask: How do I extract data from a website to Excel in several clicks, without writing code or doing any complicated setup? As you’ve seen, the process is extremely simple.

You can extract data from a website to Excel and even automate the whole process in just six steps:

1. Validate that the information you need is present on the page.
2. Enter the URLs you want to extract data from.
3. Describe the data you want to extract.
4. Extract the data.
5. Refine the output by adjusting the columns.
6. Schedule the task to automate data extraction from the website.

🌻 FAQ:

1. Question: Do I need to have any technical skills to extract info from a website to excel?

Answer: No. Parsera is fully no-code. You only need a URL and a natural language prompt.

2. Question: Can I schedule the data extraction from a website to excel?

Answer: Yes, use our “Schedule feature on Parsera” after you made sure that the data you extracted looks good to you.

3. Question: Can I extract data from multiple pages at once?

Answer: Yes. You can upload a list of URLs or use the Page Catalogue feature to select multiple pages or entire categories to extract into a single Excel file.

4. Question: Can I generate my own scraper and re-use it on similar pages?

Answer: Yes, use our “Scraping Code feature on Parsera”:

• Generate code for a specific page structure to extract specific data.
• Because it's hyper-optimized for that layout, it becomes 5x cheaper, faster, and more reliable.
• Ideal, to run the same extraction repeatedly on pages that look the same._

5. Question: How do I extract Prices from a website?

Answer: You can extract prices from any webpage alongside other data just by adding this to prompt OR create a dedicated column for price. Learn more about Extract Prices from Website.

6. Question: How do I extract Images from a website?

*Answer: Use a clear prompt like “extract images of the product from this webpage”, paste the URL, and run the Extractor. Learn More about Extract Images from Website._

Thank you for reviewing our guide 🎈

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