The best Yellow Pages scraper depends on where the scraper runs, how pricing is metered, who maintains selectors, and whether the deliverable is a clean CSV. This comparison looks at Apify actors, Octoparse-style SaaS scrapers, managed providers, open-source scripts, and UScraper's Yellow Pages Scraper template.
Comparison frame
What a Yellow Pages scraper has to solve
YellowPages.com looks simple from the outside: search for a business category, add a city, and copy the listings. A real Yellow Pages data extractor still has to wait for result cards, normalize names, collect phones and addresses, preserve categories, follow pagination, and keep the output useful after the tab is closed.
That is why "how to scrape Yellow Pages" usually splits into four buying paths:
- Marketplace actors for hosted runs, datasets, API calls, and logs.
- No-code SaaS scrapers for cloud visual builders.
- Managed data providers for delivery, support, and less workflow ownership.
- Local desktop workflows for visible flows, selector edits, and CSV export.
The real question is not "can this tool scrape Yellow Pages?" It is "can this workflow produce rows your team can audit, afford, and maintain?"
Side-by-side
Yellow Page scraper alternatives compared
| Option | Best fit | Hosting | Code needed | Output shape | Pricing shape | Main trade-off |
|---|---|---|---|---|---|---|
| Apify Yellow Pages actors | Recurring API-driven jobs | Apify cloud | Low to medium | Dataset, JSON, CSV | Usage, actor, compute, proxy, or storage units | Strong automation, but cloud custody |
| Octoparse Yellow Pages templates | No-code cloud scraping | Vendor cloud | Low | CSV, Excel, cloud exports | SaaS plan, task, and template limits | Easy for operators, but plan rules matter |
| ParseHub or Web Scraper Cloud | Broader visual extraction | Vendor cloud | Low to medium | CSV, JSON, integrations | Tiered SaaS, speed limits, cloud credits | Flexible, but setup can grow |
| Bright Data, Outscraper, or similar providers | Managed data delivery | Vendor infrastructure | Low to medium | API, datasets, CSV, custom delivery | Usage, dataset, API, or custom pricing | Useful at scale, often excessive for one CSV |
| Python scripts and open-source actors | Custom engineering pipelines | Your stack plus proxies/rendering | High | Whatever you build | Engineering time plus infrastructure | Maximum control, maximum maintenance |
| UScraper + Yellow Pages Scraper | Local business research | Local desktop app | Low | CSV from search results | Free template; app licensing or plan applies | Inspectable local runs, not fleet-scale cloud |
Octoparse vs Apify
Octoparse vs Apify for Yellow Pages scraping
The octoparse vs apify decision usually comes down to ownership. Apify is closer to a developer platform: actors, datasets, API endpoints, storage, logs, proxy options, and automation hooks.
Octoparse is closer to a no-code SaaS workspace. It is easier to hand to a non-technical operator who wants to configure a template, run a task, and download data without SDKs or actor inputs. That convenience is useful, but cloud task rules, plan tiers, and export limits still need to match the workload.
UScraper sits in a different lane. The Yellow Pages workflow is a visual block graph that runs locally, opens a normal YellowPages.com search URL, waits for .result cards, exports fields, checks for the next page, clicks through pagination, and appends rows to yellow-pages-scraper.csv.
Output
What the UScraper template exports
The companion Yellow Pages Scraper template is built around YellowPages.com search results, not hidden detail-page enrichment. The JSON workflow defines navigation, page-load waits, Structured Export, a Next-link check, and a pagination loop.
The export file is named yellow-pages-scraper.csv. It includes:
| Field group | Columns |
|---|---|
| Business identity | business_name, listing_url, primary_category, all_categories |
| Contact and location | phone, street_address, locality, full_address, website |
| Listing context | rating_text, rating_class, years_in_business, description, extra_links |
That field list is grounded in visible search-result cards. Email addresses, opening hours, extra phone numbers, owner names, and deeper profile details may require detail-page scraping.
Prefer UScraper when the exported CSV, source URLs, and workflow changes should stay in an environment you administer.
Policy
Legal and robots checks before scraping
YellowPages.com pages may be visible in a browser, but automated collection is still governed by the site's current Terms of Use, robots.txt, privacy rules, database rights, marketing regulations, and contract obligations.
Do not bypass CAPTCHA, login walls, rate limits, or technical access controls. Keep runs modest. Collect only the required fields. If data will be resold, enriched, used for outbound campaigns, or added to a commercial database, get legal review.
Decision guide
Which Yellow Pages scraping tool should you pick?
Pick Apify if developers need actors, datasets, APIs, and hosted runs. Pick Octoparse if operators need a no-code SaaS workflow. Pick Bright Data, Outscraper, or another managed provider when scale and support matter more than selector control.
Pick Python scripts if your team owns scraping infrastructure. Pick UScraper if the job is narrower: change a YellowPages.com search URL, run a visible local desktop app workflow, inspect export columns, and save a CSV list.
Start with the Yellow Pages Scraper template for the local workflow, browse more options in the UScraper template library, or read related comparisons from the UScraper blog.
FAQ
What is the best Yellow Pages scraper?
It depends on the job. Use hosted actors for scheduled API-driven collection, no-code SaaS scrapers for cloud visual workflows, scripts for engineering control, and UScraper when local CSV output and visible workflow steps matter.
How does UScraper compare with Octoparse for Yellow Pages scraping?
Octoparse is a hosted no-code platform with Yellow Pages templates and cloud execution. UScraper runs locally in a desktop app, exposes the block graph, and writes CSV to a folder you control. Octoparse is stronger for cloud scheduling; UScraper is stronger for local custody.
Is Apify better than Octoparse for Yellow Pages scraping?
Apify is usually better for developers who want actors, API calls, datasets, logs, and automation. Octoparse is usually better for operators who want a visual no-code SaaS workflow.
Is it legal to scrape YellowPages.com?
It depends on policies, purpose, fields, jurisdiction, pacing, and downstream use. Review YellowPages.com terms and robots directives, avoid bypassing controls, and get legal review before resale or outbound campaigns.
What does the UScraper Yellow Pages template export?
It exports yellow-pages-scraper.csv with business name, listing URL, categories, phone, address, website, rating text, years in business, description, and extra links from visible search-result cards. The JSON workflow is the authoritative definition.