Bulkly obtain LinkedIn user information and mobile phone number, these 4 methods are the most practical

Doing overseas business, cross-border sales orWhen expanding B2B customers, one of the most common questions many people ask is: "Is there a way to batch obtain LinkedIn user information and corresponding mobile phone numbers?" This is not just a problem of data acquisition, but also related to the efficiency and hit rate of the entire business.

If you have tried using search engines, browser plugins, or even copy and paste one by oneLinkedIn page information, you will definitely understand: manual methods are not only time-consuming and labor-intensive, but also have limited accuracy. Today I will use an article to tell you the four most practical batch acquisition methods in the industry at present, and to tell you which method is best for you.

 

Method 1: Direct connection of data platform output, taking into account both efficiency and quality

If you don't want to follow the technical flow route, don't want to be stuck by various web page restrictions, and don't want to encounter the privacy red line, then use it likeDigital PlanetThis supports the worldThe LinkedIn data screening platform is the most reliable way.

On the platform you can:

lUpload mobile phone numbers in batches and check whether there is a registered oneLinkedIn

lObtain key information such as user avatar, company name, position, region, industry, etc.

lOutput completeExcel format data, including contact information (such as mobile phone number, email address)

lScreen business owners, middle and senior decision makers, and people in specific positions

Many users report that they can obtain thousands of items at a time using this method.LinkedIn high-quality information does not require browser plug-ins, do not need an account to log in, and are not afraid of risk control.

Applicable groups: cross-border sales team,SaaS companies, foreign trade factories, recruitment agencies, B2B data service providers

 

Method 2:Sales Navigator + Email Mobile Number Completion Tools

This is a biasThe "semi-automatic" approach.

You can useLinkedInSales Navigator(Sales Navigation Tool) Do target population screening and export target account link or name+Company, then use email and phone completion tools (such as Hunter, RocketReach, ContactOut) to match your mobile phone number or email address.

The process is as follows:

1.useSales Navigator accurately screens positions, regions, and companies;

2.Use data export tools (e.g.PhantomBuster) Bulk export links;

3.Use third-party tools to supplement email and mobile phone numbers;

4.useEXCEL integrates data for analysis.

The advantage is high accuracy, the disadvantage is the complex process and the completion rate are unstable, which is suitable for small batch projects that pursue a high-quality list.

Applicable population:BD manager, private domain drainage personnel, B2B outsourcing customer acquisition party

 

Method 3: Automatic extraction using browser plug-inLinkedIn Information

There is also a group of users who use browser plugins, such as:

lLusha: You can view the user contact information on the page

lAeroLeads:supportLinkedIn Contact Export

lSnov.io: Used for mail+Data collection

lOctoparse: Advanced web crawler

This type of plug-in has the advantage of being able toLinkedIn page extracts information, no code is required. But the disadvantages are also obvious:

lIt's slow, and can only process a few hundred of them a day;

lLinkedIn account ban has high risk, especially for large-scale operations;

lMany plug-in functions are charged and do not support mobile phone number recognition.

Applicable population: A small amount of sample data is required for testing or self-media content team.

 

Method 4:Data analysis scheme combining AI recognition and image OCR

This is the most innovative way at present, and some technical teams will:

luseAPI or AI simulation to access LinkedIn page

lCrawl screenshots of user display pages

luseOCR text recognition acquisition page "Company Name", "Position", "Region"

lThen check the mobile phone number or email address to combine the complete user portrait

This method is suitable for technology companies or internalThe organization of the AI ​​team, but the threshold for ordinary business personnel is high, and it is necessary to pay attention to compliance and authorization issues.

 

Why say"Accurate data" is more important than "more data"?

Many teams pay more attention to it in the early stages"How much data is there", but people who have actually done sales or crowd delivery understand:

lIf there are many data but inactive, it will be useless to run;

lThere is no contact information, so I can only search with embarrassing circumstances;

lNo avatar/Position, it is difficult to even judge.

So, no matter which way you use,Data accuracy, timeliness and operabilityIt's the real decisionThe core of ROI. And these standards areDigital Planet PlatformWhat is most valued and optimized.

 

Use digital planet to solve information in one click+Mobile phone number extraction problem

Digital Planet provides global coverageLinkedIn data detection service supports the following functions:

lBulk check whether the mobile phone number is enabledLinkedIn

lFilter out complete profiles with avatar, position, company, and region

lTag whether it is a zombie account or a low active account

lSupports custom filtering dimensions, such as industry, job hierarchy, and company size

lData output format adaptationCRM and Excel

Currently the platform has supported more thanData detection in 200 countries and regions, stable service and high accuracy of results, is the first choice of "compliance + efficient" data portal for a large number of customers.

 

Written at the end

The value of LinkedIn data does not depend on the quantity, but on whether you really know how to screen and use it.

If you're still doing it"Where to find real information?" and "Can your mobile phone number be equipped with information?" I'm worried about it, so I might as well give it a tryDigital PlanetMethods: batch inspection, data visualization, and support sample testing, bringing you one step closer to accurate customers.


Digital PlanetIt is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports global customersBulk numbers from 236 countriesFiltering and testing services, currently supportedMore than 40 social and apps, such as:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, Binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filteringwait.

Platform providesSelf-sieve mode, sieve mode, fine sieve mode and custom mode, to meet the needs of different users.

Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.

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