Can Facebook UID extract age, gender, country and other information?

After getting a batch of Facebook UIDs, many people will immediately have a question: Can these UIDs extract the age, gender, country and other information corresponding to the user? Behind this problem, there is actually a deeper business demand - how to establish user portraits through UID, achieve data stratification, and filter target customers. This article will start from the data structure, field characteristics and collection logic, and analyze in detail which user attributes can be extracted through Facebook UID, as well as the current mainstream acquisition methods and automated solution paths.

Many people are getting a batchAfter Facebook UID, a question will immediately arise:TheseCan UID extract the corresponding user’s age, gender, country and other information?Behind this problem, there are actually deeper business demands hidden.——How to establish user portraits, achieve data stratification, and filter target customers through UID.This article will start from the data structure, field characteristics and collection logic, and analyze in detail which user attributes can be passedFacebook UID extraction, as well as the current mainstream acquisition methods and automated solution paths.

 

what isFacebook UID? Why is it important?

Facebook UID (User ID) is a unique number for each Facebook user, similar to an "identity code". No matter how many times the user changes his name or changes the link address, the UID remains unchanged.

based onUID identification, data matching, and content analysis can effectively avoid interference caused by duplicate nicknames, page changes, etc.

More importantly, many third-party tools and systems (including advertising systems, crawler systems, and analysis engines) are based onProcessing is done based on UID.Got itUID is equivalent to mastering the entrance to access, identification and expansion.

 

What user information can Facebook UID extract?

AlthoughFacebook is becoming more and more strict about privacy protection, but there are still some public or semi-public information that can be identified and extracted. Especially without logging in to the account or making intrusive access, the following fields have high availability:

1.gender

Some users will clearly mark their gender in their information, and the system can identify it and extract it directly. For users who have not filled in the information, the algorithm can also make algorithm judgments based on dimensions such as name, language preference, and gender distribution of friends, and the accuracy is relatively high.

2.Countries and regions

This is one of the fields with the highest extraction stability currently. The system mainly identifies countries based on the following dimensions:

lLanguage settings (such as Traditional Chinese, Khmer, Arabic, etc.)

lDistribution of friends (if most friends are Vietnamese users, then the account has a high probability of belonging to Vietnam)

lRegistration time zone, page content language, interaction time period, etc.

Some platforms also train country labels through data models, which can complete country-level classification without explicit address information.

3.age

Age is one of the more difficult pieces of information to obtain directly. because mostFacebook users do not actively disclose their birth year. However, the system can do this byRough classification of age groups:

lAnalysis of graduation time in educational experience (calculating year of birth)

lDetermine interest preferences (for example, if you pay a lot of attention to youth games, you will tend to18-25)

lAvatar recognition (judging age group through face recognition model)

lInteractive topics and language style (matching age context)

Although these methods are not necessarilyIt is 100% accurate, but can provide practical age estimation results for building big data user models.

 

userWhat are the practical applications of UID+attribute identification?

masterFacebook UID, combined with the three key dimensions of age, gender, and country, can already bring rich scenario application value to enterprises:

lPrecise advertising (targeting users in a certain country and age group)

lData screening before private domain operation (only women or active young people are included in the group)

lData cleaning and deduplication (filtering out non-target countries or genders)

lUser portrait creation (building based onHigh, medium and low potential customer tags for UID)

lMulti-platformID correlation analysis (mapping between UID, Telegram number, and email address)

in other words,UID is just the key, while gender, age, and country are the spatial structure behind the door., only by extracting more fields can the data truly"Live".

 

Manual identification vs platform processing: How big is the efficiency gap?

You might try to go it yourselfFind information about these UIDs on Facebook. However, in actual operation, several problems will soon be discovered:

lThe information on the page is not standard. Some users did not fill in their country, and some hid their gender.

lThe page structure is constantly updated, and crawlers are prone to failure.

lAccount operations can easily trigger platform risk control (such as frequent access to strangers’ information)

lHigh cost, time consuming, low output

Therefore, more and more teams are beginning to use data platforms to conductAutomatic identification and batch processing, for example, Digital Planet provides a complete set ofField identification service for UID expansion.

 

How Digital Planet helps you extractUID field?

On the Digital Planet platform, you only need to upload a batch ofFacebook UID, the system will automatically process and return the following fields (can be ordered on demand):

lGender: known field+Algorithm judgment dual channel output

lCountry: Multi-dimensional recognition model, covering mainstream languages ​​​​and regions around the world

lAge group: Judgment based on avatar, social characteristics, and educational information

lLanguage preference: Identifies the language used or the language of interaction

lOnline status and activity: whether there has been any recent dynamic behavior

lWhether it is a real user: whether it is a robot account, advertising account, or other abnormal account

The output format is unified and structured, making it easy to import yourCRM systems, private domain tools or advertising platforms for reprocessing. The entire process does not require complicated settings or manual intervention, which greatly improves the efficiency of data acquisition.

 

Sign up and use it immediately, recharge and receive gold coins as a bonus.

Currently registered on the Digital Planet platform, you can enjoy free use of some functions, including:

lData files are automatically saved

lbatchUID upload processing

lBasic use of filter fields

If you need to unlock higher-dimensional fields and large-scale task processing, you can obtain gold coin usage through platform recharge. The recent recharge gift activities are online simultaneously, recharge588 gold coins will give you an additional 30 gold coins, and the highest recharge amount will get you 750 gold coins, which can be used to unlock advanced collection modules and analysis tools. Visit Digital Planet now and start the road to intelligent identification of Facebook data.


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