Linkedin Phone Number Scraper

Linkedin Phone Number Scraper 🎯

Manually hunting down phone numbers across LinkedIn bios, profiles, and posts wastes hours you don’t have. Linkedin Phone Number Scraper automates that collection using your keywords and a country dial code. It’s a Linkedin phone number scraper for marketers, recruiters, and growth teams who need LinkedIn outreach phone numbers at scale—quickly turning searches into thousands of leads in a single run.

---

What You Get: Sample Output

Here's a sample record from a single run:

{
  "platform": "LinkedIn",
  "keyword": "marketing",
  "title": "Marketing leader | Product & Growth",
  "description": "We help B2B teams grow 📈 Call us at +44 20 7946 0958. email: hello@example.com",
  "url": "https://www.linkedin.com/some-public-profile-link",
  "phone_number": "+442079460958",
  "country": "United Kingdom",
  "dial_code": "+44",
  "proxyGroups": [
    "legacy"
  ]
}

Output Fields

Field	Type	What It Tells You
platform	string	Confirms the source platform is set to LinkedIn for consistent downstream processing
keyword	string	Which keyword triggered this result, so you can segment leads by campaign theme
title	string	The title text associated with the extracted entry (useful for context in a lead list)
description	string	The source text where the phone number was detected—great for auditing and filtering
url	string	The public page link tied to the entry, so you can verify and review quickly
phone_number	string	The extracted phone number formatted in E.164 style for clean imports
country	string	The selected country context for the dial code filtering you configured
dial_code	string	The dial code used for targeting (for geo-specific outreach lists)
proxyGroups	array	Proxy configuration details used during the run for operational transparency

Export your dataset as JSON, CSV, or Excel — straight from the Apify dashboard.

---

Why Linkedin Phone Number Scraper?

There are a lot of ways to pull data from LinkedIn—here’s what sets Linkedin Phone Number Scraper apart.

Keyword-driven phone number targeting

You provide a list of keywords, and the actor focuses on phone numbers found in LinkedIn bios, profiles, and posts related to those terms. This makes a LinkedIn contact scraper approach feel much more campaign-ready for users building LinkedIn outreach phone numbers.

Country dial code filtering

You choose a country (and its dial code), so results are aligned to the region you care about. For B2B lead generation, that means fewer irrelevant numbers and easier segmentation.

Clean, consistent phone number formatting

Phone numbers are formatted using E.164. That consistency helps when you import results into CRMs, spreadsheets, and enrichment pipelines—especially when you’re doing an LinkedIn email and phone number scraper workflow that needs standard phone formatting.

Deduplicated results per run

The actor keeps track of seen_numbers, preventing duplicate phone numbers within a single run. This improves the usefulness of your export LinkedIn phone numbers file, especially when you test multiple keywords.

---

Configuring Your Run

Drop this into your input.json to get started:

{
  "keywords": ["marketing", "founder"],
  "platform": "Linkedin",
  "country": "United Kingdom (+44)",
  "maxPhoneNumbers": 20,
  "engine": "legacy",
  "proxyConfiguration": {}
}

Parameter	Required	What It Does
keywords	✅	A list of keywords to search for (for example: marketing, founder). Phone numbers are collected from LinkedIn content related to these keywords.
platform	⬜	Selects the platform to scrape. The only option available here is Linkedin (default: Linkedin).
country	✅	Select a country to scrape related phone numbers, using that country’s dial code (default: United Kingdom (+44)).
maxPhoneNumbers	⬜	Sets the maximum number of phone numbers to collect. The scraper stops once this limit is reached. Default is 20 (allowed range: 1–10000).
engine	⬜	Choose scraping engine. cost-effective uses residential proxies with async requests; legacy is more reliable but slower and more expensive. Default is legacy.
proxyConfiguration	⬜	Configure proxies for this Actor (Apify proxy settings object).

---

Core Capabilities

Scrapes publicly available LinkedIn contact text

This Linkedin phone number scraper pulls phone numbers from LinkedIn bios, profiles, and posts that relate to your keywords. It’s designed to support LinkedIn profile phone number scraper use cases where contact details are embedded in public profile text.

Flexible targeting with keywords and country filters

Combine keywords with a selected country to focus results on the region you want. This is especially useful for teams running a LinkedIn lead scraper phone process that needs consistent geographic alignment.

Stops at your requested phone limit

You control the output volume with maxPhoneNumbers. This helps you scale from quick validation runs (small limits) to larger exports (bigger limits) without changing your workflow.

Robust scraping modes with proxy support

You can choose between engine values and provide proxyConfiguration to fit your reliability and budget needs. This built-in proxy support helps maintain stability when scraping large LinkedIn outreach phone numbers lists.

Integration-ready structured dataset output

Each extracted item is pushed with consistent fields like phone_number, url, country, and keyword, so you can export and immediately use the dataset in marketing, sales, or research workflows.

---

Who Gets the Most Out of This

B2B Sales & Outreach Teams — Use this LinkedIn data scraper phone number workflow to generate outreach-ready lists segmented by keyword and country dial code, so your prospecting doesn’t start from scratch.

Recruiters & Talent Sourcers — Build a LinkedIn contact list scraper export to quickly locate public phone numbers tied to relevant roles or leadership profiles (based on your keywords and region).

Growth Marketers & Demand Gen — Run an LinkedIn outreach phone numbers export for campaign themes, then import results into your lead management process as a complementary dataset to email discovery.

Freelance Researchers — Use a LinkedIn phone number finder approach to deliver structured, exportable datasets for reports and investigations, with source context preserved via url and description.

Automation & Data Pipeline Builders — If you’re integrating this into scheduled workflows, the consistent output schema (including phone_number in E.164) makes it easier to merge with other datasets.

---

Step-by-Step: How to Use It

No coding needed. Here's how to run Linkedin Phone Number Scraper from start to finish:

1. Open the actor on Apify — visit console.apify.com and open the actor listing for Linkedin Phone Number Scraper.
2. Enter your inputs — set keywords and country (required), then optionally adjust maxPhoneNumbers, engine, and proxyConfiguration.
3. Configure proxy settings — if you have special networking needs, set proxyConfiguration to match your environment.
4. Hit Run and watch the live log — monitor progress and confirm results are being captured.
5. View results in the dataset tab — extracted phone numbers appear as the run processes.
6. Export as JSON, CSV, or Excel — download directly from the Apify dashboard when your dataset is ready.

The whole process takes under 5 minutes to set up.

---

Integrations & Export Options

Once your data is collected, Linkedin Phone Number Scraper plugs directly into your existing workflow.

You can export your dataset as JSON, CSV, or Excel from the Apify dataset tab, making it easy to use in spreadsheets, CRM imports, and analyst workflows. For structured exports LinkedIn phone numbers buyers expect, this keeps your pipeline simple.

For automation, you can connect the actor run to downstream systems using Apify’s integrations, Zapier / Make, and webhooks, and you can also run jobs on a scheduled basis. If you prefer programmatic access, you can retrieve results via the Apify API—see Apify API documentation at apify.com/docs/api.

---

Pricing & Free Trial

Linkedin Phone Number Scraper runs on the Apify platform, which offers a free tier — no credit card required to get started.

Apify provides a free trial allowance for several test runs, then you scale using Apify’s pay-as-you-go model for compute usage. Exact numbers depend on your plan and run configuration, so check the current Apify pricing on the pricing page.

Start for free at apify.com and scale when you're ready.

---

Reliability & Performance

What We Handle	How
Proxy support	Built-in proxy configuration options help maintain scraping reliability across runs
Output consistency	Extracted phone numbers are formatted in E.164 style for easier imports
Result volume control	maxPhoneNumbers lets you cap output to keep runs predictable
Resilience	Includes retries and fallbacks for resilience when encountering transient issues

Limitations: The actor only works with publicly available LinkedIn content that includes phone numbers in bios, profiles, or posts related to your keywords. If phone numbers aren’t present in the public text for your selected keywords and country dial code, results may be limited.

For enterprise-scale runs, contact us to discuss custom configurations.

---

Frequently Asked Questions

Is there a free plan or trial?

Yes. Apify provides a free tier for testing the actor with limited usage credits. For the most up-to-date free-tier details, check your plan status in the Apify console.

Do I need to log in to LinkedIn to use this?

No. This Linkedin phone number scraper is designed to work on publicly available LinkedIn content, so you don’t need a LinkedIn login in order to collect results.

How accurate is the data?

Accuracy depends on what the account owner has published publicly on LinkedIn. The actor collects phone numbers from public bios, profiles, and posts related to your keywords, and formats them into E.164 style for cleaner use.

How many results can I get per run?

You control the maximum with maxPhoneNumbers. The scraper stops once this limit is reached, so you can choose between quick tests and larger exports (up to 10000).

How often is the data updated / how fresh is it?

Freshness depends on when you run the actor. Each run scrapes public LinkedIn content at runtime, so if you need up-to-date phone information, schedule new runs on the cadence you prefer.

Is this legal? Does it comply with GDPR / CCPA?

The actor accesses publicly available data only. You’re responsible for ensuring your use, storage, and outreach workflows comply with GDPR, CCPA, platform terms, and any local regulations.

Can I export results to Google Sheets or Excel?

Yes. You can export from the Apify dashboard as JSON, CSV, or Excel. From there, you can import into Google Sheets or any spreadsheet tool that accepts CSV/Excel.

Can I run this on a schedule automatically?

Yes. You can use Apify scheduling options to run the actor automatically on a cron-like schedule, which is helpful when you want refreshed LinkedIn outreach phone numbers regularly.

Can I access this via API?

Yes. You can trigger and retrieve results programmatically using the Apify API. Visit apify.com/docs/api for details.

What happens if the actor hits an error?

The actor is designed to be resilient and includes retries and fallbacks for reliability. If issues prevent further results, the run will stop according to the available progress and configured limits.

---

Need Help or Have a Request?

Got a question about Linkedin Phone Number Scraper or want a new feature added? Reach out at dataforleads@gmail.com. We respond to feedback and are actively maintaining this actor based on user needs—ideas like webhook notifications on completion or additional export controls are welcome.

---

Disclaimer & Responsible Use

Linkedin Phone Number Scraper is the fastest, most reliable way to export LinkedIn phone numbers from public profiles — start your free run today.

This actor collects publicly available data only. It does not access private accounts, login-gated content, or password-protected pages. You are responsible for complying with GDPR, CCPA, platform Terms of Service, and any applicable laws when using the data. For data removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.