Yellow Pages Phone Number Scraper
Pricing
$14.99/month + usage
Yellow Pages Phone Number Scraper
Yellow Pages Phone Number Scraper helps you collect business phone numbers directly from Yellow Pages pages. Use the data for cold calling, partnerships, and supplier outreach. Fast, scalable scraping with clean, export-ready results.
Pricing
$14.99/month + usage
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0.0
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Scrapio
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2
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1
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3 days ago
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An Yellowpages phone number scraper helps you find publicly visible phone numbers connected to Yellowpages content at scale π±. This Apify actor is an Yellowpages phone number extractor that works online, built for lead generation, sales outreach, research, and contact discovery with clear limits and structured output β .
π¬ Support and feedback
π For bugs, issues, or feature requests, please open a ticket in the repository Issues section
π€ Need custom features or enterprise support?
Contact hello.scrapio@gmail.com
What is Yellowpages Phone Number Scraper? π
Yellowpages Phone Number Scraper is an Apify actor that searches Google results for Yellowpages pages and extracts phone numbers from the Google snippet blocks π§ .
How it works:
- π Builds Google queries using
site:yellowpages.complus your selected country dial code plus your seed keyword - π Fetches Google search pages using Apify Proxy with the GOOGLE_SERP proxy group for reliability
- π Detects phone numbers inside the result blocks, normalizes them, and filters them by the selected dial code when possible
- π¦ Saves every matched result into an Apify dataset so you can export to CSV, JSON, or Excel, or connect it to your CRM
This approach makes it a practical yellowpages phone number scraper online for cases where phone numbers appear in indexed Yellowpages content and are visible in Google snippets. It is also useful as an Yellowpages phone number extractor for fast discovery when you prefer not to crawl Yellowpages pages directly β‘.
What Data Does a Yellowpages Phone Number Scraper Collect? π
This actor collects phone number leads from Google SERP results that point to Yellowpages URLs, plus the context you need to verify and use the lead responsibly π§Ύ.
You get:
- π A phone number normalized using your selected dial code
- π A Yellowpages URL that appeared in the Google results
- π·οΈ A title and description snippet from Google for quick validation
- π The selected country and dial code used for filtering
- π§© The keyword that produced the result, useful for segmentation and reporting
If your goal is Yellowpages contact scraping, WhatsApp lead discovery, or building a phone number leads extractor pipeline, this dataset format is designed for easy downstream use β .
Types of data can i extract with Yellowpages Phone Number Scraper π§°
Below is a practical list of the data types you can extract with this Yellowpages phone number extractor actor:
| Data type | What it means | Why it helps |
|---|---|---|
| π phone_number | A detected phone number normalized using the selected dial code | Outreach, verification, enrichment |
| π url | Yellowpages URL from Google results | Proof source and auditing |
| π·οΈ title | Google result title text | Fast relevance checks |
| π description | Google snippet text | Extra context like WhatsApp or contact hints |
| π keyword | Your seed term used in search | Segmentation and campaign tracking |
| π country | Selected country label | Geo targeting |
| β dial_code | Selected dial code | Phone normalization and filtering |
| π platform | Display label for the platform | Multi source workflows |
Tip π‘: If you enter usernames or Yellowpages profile URLs in the keywords input, the actor will treat them as search terms too. That can help you locate indexed mentions faster.
Key Features of Yellowpages Phone Number Scraper β¨
This actor is built to be a reliable Apify Yellowpages phone number scraper for real production workflows:
- β‘ Keyword driven discovery for niches like marketing, real estate, fitness coach, dentist, salon, restaurant, dropshipping, agency, founder, ecommerce, and more
- π Country and dial code filtering so you can target one market at a time
- π§Ό Phone normalization for cleaner lists and fewer formatting issues
- π Retries and proxy rotation to reduce Google blocking
- π¦ Structured dataset output ready for automation and CRM import
- π§© Works well with schedules, webhooks, and API runs inside Apify
- π Focused on publicly visible and indexed information only
Important note π§ : The extractor reads phone numbers from Google SERP blocks. Results depend on what Google shows in snippets and what is indexed for your search terms.
Getting Started with Yellowpages Phone Number Scraper π
You can start in minutes on Apify:
- β Open the actor on Apify and click Run
- π§Ύ Fill in the required input fields: keywords and country
- π― Set maxPhoneNumbers to control volume and cost per run
- π Keep proxy enabled for best stability when scraping Google
- π₯ When the run finishes, export results from the dataset
Example input in YAML format π§©
keywords:- marketing- fitness coach- restaurant londoncountry: United Kingdom (+44)maxPhoneNumbers: 50platform: Yellowpagesengine: legacy
Operational notes βοΈ
- The actor processes each keyword, pages through Google results, and stops when it reaches maxPhoneNumbers for that keyword
- It also stops after several empty or failed pages to avoid wasting run time
- For large lead lists, use multiple focused keywords instead of one broad keyword
Solving Real Problems with Yellowpages Phone Number Scraper π§©
This Yellowpages phone number scraper helps teams turn search intent into contact lists safely and efficiently:
- π£ Lead generation and cold outreach: find phone numbers connected to Yellowpages pages indexed for your niche keywords
- π Ecommerce sourcing: discover sellers, distributors, and local stores with WhatsApp or phone numbers in snippets
- π§βπΌ B2B prospecting: search terms like agency, SaaS, consultant, coach, founder, real estate, and plumber can surface relevant results fast
- π€ Partnerships and influencer outreach: discover contact points for creators and brands
- π Market research: compare how often contact info appears across verticals and countries
- π§° Data enrichment: use the returned URL, title, and description as context for QA and deduplication
For many workflows, this is a good alternative to a browser extension, a local Yellowpages phone number scraper app, or fragile scraping scripts that break often β .
why choose us π
We focus on simple inputs, strong defaults, and clean outputs so you can go from idea to lead list quickly:
- π Practical workflow: keyword to dataset with minimal setup
- π¦ Output ready for spreadsheets, CRMs, and pipelines
- π Country aware normalization using dial codes for better consistency
- π§ Designed for repeatable runs: consistent schema, logs, and predictable limits
- π€ Support available for custom features, extra fields, and multi platform scraping
How many results can you scrape π
Results are controlled by the maxPhoneNumbers input per keyword π―.
What to expect:
- β Per keyword, you can collect from 1 up to 10000 phone numbers depending on availability and your setting
- π Google results are paginated, and the actor reads page by page until the limit is reached or the results become empty
- π§© Total results in one run equals the sum of results across all keywords
Practical guidance π‘
- Narrow keywords usually produce fewer but more relevant phone number leads
- Broad keywords can produce more noise and may trigger more blocking on Google
- If you need high volume, split by country, city, or niche and run in batches
Legal Guidelines for Scraping βοΈ
Use this Yellowpages phone number extractor responsibly and lawfully π:
- β Collect only publicly available and indexed information
- π« Do not attempt to access private profiles or restricted content
- π§Ύ Follow privacy and marketing laws that apply to your location and use case, including GDPR, UK GDPR, CCPA, and similar regulations
- π€ Use a lawful basis for processing personal data, keep data secure, and honor opt out requests
- π§ Avoid sensitive data, and do not use extracted data for harassment or spam
Helpful Apify references:
- π Apify Proxy docs:
https://docs.apify.com/platform/proxy - π¦ Dataset storage docs:
https://docs.apify.com/platform/storage/dataset
Required Input Fields π§Ύ
These fields are supported by this actor input schema β :
| Field | Type | Required | What it does |
|---|---|---|---|
| keywords | list of text | yes | Seed terms used as search inputs, can be keywords, usernames, or URLs |
| country | text | yes | Country label with dial code, used to normalize and filter phone numbers |
| maxPhoneNumbers | number | no | Max phone numbers to collect per keyword, default 20 |
| platform | text | no | Platform selector, currently Yellowpages |
| engine | text | no | Engine selector, currently legacy |
| proxyConfiguration | object | no | Apify proxy settings, actor uses GOOGLE_SERP proxy group |
Required Output Fields π€
Each dataset item includes the following fields β :
| Field | Type | Description |
|---|---|---|
| platform | text | Platform label used in the run |
| keyword | text | Seed keyword that produced the result |
| title | text | Google result title |
| description | text | Google result snippet text |
| url | text | Yellowpages URL from the result |
| phone_number | text | Normalized phone number filtered by dial code when possible |
| country | text | Country name used for the run |
| dial_code | text | Dial code used for normalization |
FAQ β
How does seed keyword work π±
Seed keywords are the starting terms that drive discovery π. For each keyword, the actor searches Google for Yellowpages results and scans the visible snippets for phone numbers.
Tips for better seed keywords β
- π― Use intent terms: whatsapp, call, contact, booking, appointment, order
- π§© Use niche plus geo: dentist manchester, salon dubai, photographer london, restaurant birmingham
- π§ Use role terms: founder, agency, coach, consultant, realtor
Yellowpages Phone Number Scraper Varieties π§©
There are multiple ways to build an Yellowpages contact scraping workflow, and each fits a different goal:
- π§ SERP based phone extraction: fast discovery from Google snippets, this actor approach
- πΈοΈ Direct profile scraping: crawl profile pages and extract contact fields when visible
- π Multi source enrichment: combine Yellowpages with other platforms, websites, and business directories
If you need a different variety, contact us and we can adapt inputs, add new output fields, or target additional sources π€.
How the keyword performed in our tests? π§ͺ
In our functional tests, we focus on correctness and stability rather than promising a fixed number of results β :
- π Phone numbers are normalized and filtered using the selected dial code when possible
- π The actor retries and rotates proxy URLs to handle temporary blocking
- π― Specific keywords usually return higher relevance than broad keywords
Result volume depends on Google indexing and snippet content, so it can vary run to run π¦οΈ.
Why Use a Yellowpages Phone Number Scraper β
This tool can replace hours of manual searching:
- β±οΈ Save time: no need to open pages one by one
- π¦ Get structured output: ready for export and CRM import
- π― Improve targeting: keyword and country focused runs
- π Repeatable research: rerun the same keyword set monthly to refresh leads
Estimating Your Yellowpages Phone Number Scraper Expenses πΈ
Cost depends on how many keywords you run and how large maxPhoneNumbers is per keyword.
- π― Control spend using maxPhoneNumbers
- π Use batches: smaller runs reduce risk and keep results focused
- π Proxy use is important for Google reliability, and proxy usage can affect total cost
For the most accurate estimate, check your Apify plan limits and pricing for actor runs and proxy traffic π§Ύ.
How Yellowpages Phone Number Scraper Helps You π€
Common outcomes users want:
- π A phone number lead list for outreach
- π§© Leads grouped by keyword for segmented campaigns
- π Geo targeted leads using a country dial code filter
- π A dataset that can be joined with other enrichment sources
Challenges When Using Yellowpages Phone Number Scraper π§±
Real world constraints to expect:
- π Many Yellowpages pages do not expose phone numbers in indexed text
- π§© Some numbers in snippets may belong to unrelated content, so QA is recommended
- π Google may show different snippets over time, changing extraction results
- π Blocking and captchas can reduce throughput, proxies help but do not guarantee zero blocks
- π Duplicate phone numbers can appear across multiple pages or keywords, so dedupe by phone_number in post processing is recommended
How to Choosing a High-Performing Yellowpages Phone Number Scraper π
Checklist for choosing a strong Yellowpages phone number extractor:
- β Clear inputs: keywords, country, limit controls
- π¦ Clear outputs: URL context, keyword tagging, normalized phone numbers
- π Proxy support for Google stability
- π§ Transparent constraints and responsible usage guidance
- π§ Maintainability: a documented workflow and predictable schema