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How to Scrape Yellow Pages Leads to CSV with UScraper

Scrape Yellow Pages leads to CSV. Extract names, phones, addresses, websites, categories and ratings. Use UScraper local desktop app. No code, no cloud.

UScraper
June 30, 2026
8 min read
#how to scrape yellow pages#yellow pages scraper tutorial#scrape yellow pages leads#yellow pages scraper#yellow pages scraping tools#yellow pages scraper alternative#yellow pages to csv#business directory scraper
How to Scrape Yellow Pages Leads to CSV with UScraper

This Yellow Pages scraper tutorial shows how to turn a YellowPages.com search result into a CSV lead list with the Yellow Pages Scraper template for UScraper. You will set the URL, export path, pagination loop, and validation checks.

Before you start

Prerequisites and policy checks

You need UScraper installed as a local desktop app, a YellowPages.com search URL for a category and location you are allowed to review, and a folder where the CSV can be written. Start with one narrow query; broad national searches create noisier rows and harder QA.

This guide covers visible business search result pages. It does not cover account areas, CAPTCHA bypassing, rate-limit evasion, profile-detail crawling, email discovery, or bulk outbound messaging. Review the current YellowPages.com terms, the site's robots.txt, and Google's plain-language robots.txt overview before automation. Technical access is not permission to collect, reuse, resell, enrich, or contact businesses.

Treat this as a supervised research workflow: keep volumes modest, avoid access controls, preserve source URLs, and get legal review before production or outreach use.


Workflow anatomy

What the Yellow Pages scraper template does

The bundled JSON is intentionally simple: Navigate -> Wait for Page Load -> Wait for Element -> Structured Export -> Element Exists -> Click -> Sleep -> Wait for Element -> Structured Export. Navigate contains the search URL. The wait blocks look for .result cards. Structured Export writes the current page into CSV. Element Exists checks for a next-page link and loops when one is available.

The sample workflow starts from:

https://www.yellowpages.com/search?search_terms=restaurants&geo_location_terms=New%20York%2C%20NY

Replace search_terms and geo_location_terms with your approved category and market. Keep the URL specific enough that the output is usable.

Workflow blockWhat to checkWhy it matters
NavigateSearch term and location URLDefines the market and lead category.
Wait for Element.result visible within the timeoutPrevents exporting before listing cards render.
Structured ExportFile name, folder, headers, append modeWrites one CSV across all pages.
Element Exists.pagination a.next[href], a.next.ajax-page[href]Controls whether the loop continues.
Click and SleepNext-page click and short delayGives the next result page time to update.

Output

What the Yellow Pages CSV includes

There is no bundled CSV sample for this post, so use the export shape as the preview. The workflow captures listing-level fields from search results, not deep profile-page fields. Email, opening hours, secondary phones, and richer descriptions may require a separate detail-page workflow.

CSV columnSource intent
business_nameBusiness name from the result card.
listing_urlFull YellowPages.com listing URL for audit and dedupe.
primary_category, all_categoriesFirst category and all visible categories joined into one cell.
phonePrimary visible phone number from the search result.
street_address, locality, full_addressAddress parts and a combined address field.
websiteOutbound website link when the card exposes one.
rating_text, rating_classVisible rating text and supporting rating class.
years_in_businessYears-in-business label when present.
descriptionShort result-card snippet or summary text.
extra_linksVisible links on the card, joined for manual QA.

This shape works well for spreadsheet review, local market research, CRM prep, supplier discovery, and lead-list QA. For contractual delivery, freshness guarantees, or stable schemas across many markets, compare a scraper API, licensed data vendor, or approved partner route.


Runbook

How to scrape Yellow Pages leads to CSV

1

Import the template

Open Yellow Pages Scraper, download the JSON, and import it into UScraper.

2

Edit the search URL

In Navigate, replace the sample restaurants and New York query with the YellowPages.com category and city you are allowed to process.

3

Confirm the export path

In Structured Export, check yellow-pages-scraper.csv, headers, append mode, and the local folder for this project.

4

Run one page

Run a one-page sample first. Open the CSV beside the browser and compare names, phones, addresses, websites, and categories.

5

Run the pagination loop

If the first page checks out, let the Next-link branch continue until the template reaches the false branch and ends the workflow.

After the run, sort by listing_url and remove duplicates before enrichment. If you plan outreach, separate scraping QA from compliance review.


Troubleshooting

Common issues when scraping YellowPages.com

SymptomLikely causeFix
Empty CSVThe page did not load result cards or the selector changedReopen the search URL, check for .result cards, then refresh the selector.
Only the first page exportedThe next-page selector did not match or pagination endedInspect the Next link and update the Element Exists and Click selectors together.
Blank website cellsSome listings do not show an outbound website linkTreat website as optional and enrich later only when allowed.
Duplicated rowsThe run restarted with append mode onClear the output file or use a new filename before rerunning.
Ratings look inconsistentYellowPages.com may expose rating text and classes differently by listingKeep rating_text and rating_class, then normalize after export.

Alternatives

Yellow Pages scraper alternatives and APIs

UScraper is a good fit when you want a local, inspectable CSV workflow without writing Python or maintaining a scraper API. Hosted scraping tools such as Octoparse, Apify, and Web Scraper help with cloud scheduling and managed infrastructure. Python tutorials from providers such as ScrapFly, ScrapeHero, ScrapingBee, Scrapingdog, and Oxylabs fit developers who need code-level control.

OptionBest fitTrade-off
UScraper templateSupervised local CSV exportValidate selectors and policy fit.
Hosted no-code toolCloud runs and schedulingUsually usage-based.
Python scraperCustom parsing and retriesRequires code maintenance.
Licensed data sourceContractual deliveryLess flexible for ad hoc research.

If you searched for "best Yellow Pages scraper" or "Yellow Pages scraper alternative," decide on custody and control first. For one-off lead research, UScraper is direct. For data products or resale, approved data access is usually more durable.


FAQ

Yellow Pages scraper FAQ

This tutorial is technical guidance, not legal advice or permission. Review current terms, robots rules, privacy law, marketing law, and contract limits before collection, enrichment, resale, or outreach.


Next step

Download the Yellow Pages scraper template

When ready, download the workflow from Yellow Pages Scraper and keep this guide open for validation. For adjacent workflows, browse the UScraper template library or read more UScraper tutorials.

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