This tutorial shows how to scrape Yellow Pages search-result pages into a clean CSV using the Yellow Pages Scraper template for the UScraper local desktop app. You will configure the search URL, set the export folder, run the pagination loop, and validate the business listing rows before using them for research or lead qualification.
Before you start
Prerequisites, scope, and policy checks
You need UScraper installed as a local desktop app, the companion template imported, and a folder where yellow-page-scraper-cloud.csv can be written. The bundled workflow starts with a concrete example: battery businesses in Detroit, MI. Replace that with a category and location you are allowed to collect before running a real project.
This post covers YellowPages.com search-result cards, not account pages, paid dashboards, CAPTCHA bypassing, hidden APIs, or full listing-detail crawls. Review the current YellowPages.com Terms of Service and robots.txt before automation. At the time of writing, the robots file includes restrictions for /search*, so treat compliance review as part of the runbook, not a footnote.
Use the workflow for narrow, documented business research. Do not run aggressive unattended jobs, bypass access controls, or assume that visible directory data is automatically approved for resale, enrichment, or outbound marketing.
Workflow anatomy
What the Yellow Pages scraper template does
The JSON export defines a simple browser workflow: Navigate -> wait for page load -> wait for business rows -> Structured Export -> check for Next -> click -> wait -> loop. The Structured Export block appends matching result rows into one CSV file, while the condition block decides whether another page exists.
The workflow uses an XPath row selector to skip placeholder containers that do not contain a non-empty business title. The column logic uses JavaScript inside UScraper because a result card can expose text, links, and optional fields in different places.
| Workflow block | What it controls | Why it matters |
|---|---|---|
| Navigate | The YellowPages.com search URL | Sets the category and location, such as battery in Detroit, MI. |
| Wait for Element | .result a.business-name | Prevents export before result cards are visible. |
| Structured Export | CSV filename, folder, headers, append mode, columns | Writes each page into yellow-page-scraper-cloud.csv. |
| Element Exists | Enabled Next selectors | Stops cleanly when pagination ends. |
| Sleep and wait blocks | Short delay after clicking Next | Gives asynchronous result pages time to settle. |
Runbook
How to scrape Yellow Pages search results to CSV
Import the template
Open the Yellow Pages Scraper template, download the JSON, and import it into UScraper.
Edit the search URL
In Navigate, replace search_terms=battery and geo_location_terms=Detroit%2C%20MI with your approved business category and city.
Set the export path
In Structured Export, confirm yellow-page-scraper-cloud.csv, headers, append mode, and a campaign-specific save folder.
Run one page first
Keep the page-load wait, visible business-name wait, and two-second pause after pagination. Run a single page and inspect the CSV before scaling.
Reconnect the pagination loop
When the first page validates, let the Next-link condition continue through remaining result pages until the false branch reaches End.
After the first run, sort the CSV by url and check for duplicates. One visible result card should create one row.
Output
What the Yellow Pages CSV includes
There is no separate sample CSV in the bundle, so the export shape comes from the JSON workflow itself. The configured columns are intentionally narrow: search context plus the visible business fields most teams need for local market research.
| CSV column | Source in the result card | Validation note |
|---|---|---|
name | Static search term configured in the workflow | Change it when you change the category. |
location | Static location configured in the workflow | Keep this consistent with the URL city. |
title | a.business-name text | Required for a row to be included. |
address | Street/locality or address container text | Spot-check formatting before CRM import. |
phone | Visible .phones text | Confirm before outreach. |
website | Outbound website button href | May be blank when no website is shown. |
url | Full YellowPages.com listing URL | Use this for source review and deduping. |
Validation
Validate the export before using the leads
Yellow Pages lead scraping is only useful when the output survives a manual spot check. Open the CSV beside the browser and verify rows from the first, middle, and final result pages. Confirm that titles, phones, websites, and source URLs match what the page displayed.
| Symptom | Likely cause | Fix |
|---|---|---|
| Empty CSV | Results did not load or the row selector no longer matches | Reopen the search URL, handle prompts, and rerun one page. |
Blank website cells | YellowPages.com did not expose a website link for those cards | Keep the row and treat website as optional. |
| Phone field contains unexpected text | Markup changed or a card variant used a different container | Inspect the card and update the JavaScript selector. |
| Loop stops after page one | Next selector changed or the Next link is disabled | Check pagination in the browser and revise the condition selector. |
| Duplicate listings | Search results repeated across pages or a run resumed mid-file | Dedupe by url, then rerun from a fresh CSV if needed. |
For recurring projects, keep a short audit log: search term, location, run date, output filename, selector changes, and the reason the dataset was collected.
Alternatives
UScraper vs Python, scraper APIs, and hosted tools
If you search for "scrape Yellow Pages with Python", you will find tutorials built around requests, httpx, lxml, BeautifulSoup, browser rendering, proxies, or scraper APIs. That route is flexible, but it means maintaining code, retry logic, pagination, exports, and anti-bot handling yourself.
Hosted tools such as Apify, Octoparse, Web Scraper, and API-first providers fit managed cloud runs, scheduling, or higher-volume infrastructure. The trade-off is vendor custody, usage-based pricing, and less browser-level visibility for non-technical reviewers.
UScraper is the practical middle path for a supervised CSV: import the workflow, watch the local browser session, edit selectors visually, and export to a folder you control. When comparing the best Yellow Pages scraper options, choose based on custody and maintenance:
| Option | Best fit | Trade-off |
|---|---|---|
| Python scraper | Developers who need full control | Requires code maintenance and infrastructure decisions. |
| Scraper API | Programmatic pipelines | Adds API cost and vendor dependency. |
| Hosted no-code scraper | Scheduled cloud extraction | Data runs through a hosted platform. |
| UScraper template | Local, inspectable CSV workflow | Best for supervised runs. |
FAQ
Yellow Pages scraper tutorial FAQ
YellowPages.com search results may be visible in a browser, but automated collection can still be limited by YellowPages.com terms, robots rules, privacy law, database rights, and marketing regulations. Review the current rules, avoid bypassing access controls, keep volume modest, and get legal review before resale, enrichment, or outbound campaigns.
Next step
Download the Yellow Pages scraper template
Download the JSON from Yellow Pages Scraper for CSV Export, run one validated page, then expand only when the output matches the live results. For related workflows, browse the UScraper template library or read more CSV export tutorials on the UScraper blog.