Extract Yellow Pages data to Excel

Run a keyword-and-location search in Yellow Pages Scraper, then choose Export and select Excel. The business name, address, phone, fax, email and website are written to an .xls/.xlsx spreadsheet with each field in its own column, ready to sort, filter and import — no copying and pasting, and no reformatting.

Excel is the format most people want because it is easy to review by eye, sort by city or category, and hand to a colleague. Because the scraper already separates each detail into its own field, what lands in the spreadsheet is structured data, not a block of text you have to untangle. The sections below show what the file looks like and how to use it.

Each business becomes one row, and each detail becomes its own column: name, address, phone, fax, email and website. That structure means you can immediately sort, filter and mail-merge — the file behaves like a proper database, not a screenshot of a directory page.

Any field a particular listing does not publish simply stays empty for that row, so you can filter the sheet to just the records that include, say, an email address.

Yes. As well as Microsoft Excel, Yellow Pages Scraper exports to CSV and XML. CSV imports cleanly into almost any CRM, mail-merge or database, while XML suits structured feeds and custom tools. You pick whichever format the next tool in your workflow expects.

A good rule of thumb: use Excel when a person will review the list, CSV when software will import it, and XML when you are feeding a database or an integration. All three come from the same search, so you can export more than one format from a single extraction.

Yes. Every business detail — name, address, phone, fax, email and website — goes into its own column, so the spreadsheet is structured and ready for filtering or mail-merge rather than one long line of text per business. That field separation is what makes the export usable straight away.

It matters because mail-merge and CRM imports need mapped fields, not free text. When the phone is in a phone column and the email is in an email column, you can map them in seconds, filter to the rows you want, and personalise outreach with the business name — all without cleaning the data first.

Yes. The scraper de-duplicates records as it collects them, so the exported spreadsheet does not repeat the same business. You get one clean row per company, which keeps your contact counts accurate and saves you a manual clean-up pass in Excel.

Directory data is prone to repeats because a business can appear under several categories or nearby locations. Removing those before the file is written means the Excel sheet reflects the true number of distinct prospects — important when you are reporting list size or planning an outreach campaign.

Export to CSV or Excel, then use your CRM’s or mail tool’s import feature and map the columns — business name, email, phone and so on — to its fields. Because each detail is already in its own column, the mapping is straightforward and the records load without cleanup.

The same file works for a mail-merge in Word or your email platform: point the merge at the spreadsheet, map the fields, and personalise each message with the business name. If you plan to run permission-based email campaigns to the list, the sister product Mass Mailing News sends personalised bulk email through your own SMTP.