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CHRIS JOHNSON, CUSTOMER SUCCESS AT SOCLEADS.COM
14 of October, 2024

Guide to Email Scraping Methods from Social Media and Maps

Unlock the potential of email scraping with Socleads' platform. Our guide summarizes the four main scraping methods across six major data sources, helping you choose the best techniques tailored to your needs.

Table of Contents

 

Introduction

Socleads offers a versatile platform for data scraping across various social media and online platforms. Four primary scraping methods: keywords, hashtags, followers, and location—allow you to tailor your data collection to meet specific needs. Socleads supports six primary data sources: Instagram, Facebook, Google Maps, LinkedIn, Twitter, YouTube, and TikTok. Each source has its unique scraping processes and capabilities. This guide provides an in-depth look at how each scraping method works within these platforms, presented in a tabular format for clarity.

Instagram Scraper Methods

Method 1: Instagram Hashtag Scraping (Fast Mode)


instagram hashtag scraper flow

Advice: use general hashtags to get more results (fashion, music, makeup, modeling, UGC, pilates, instagirl, etc.)

Download the result sample for the “fashion” hashtag.

AspectDetails
OverviewIdeal for popular hashtags with over 1 million posts, this method is cost-effective for quickly collecting up to 5,000 emails.
Pros
  • Fast execution
  • Low cost per email
Cons
  • Limited to a maximum number of results
Input Data
  • Hashtag
  • Country (optional)
  • Number of results (emails)
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Include synonyms in the search
  • Email validation

 

Method 2: Instagram Keywords Scraping

 


instagram keywords scraper flow

Advice: use general keywords to get more results (fashion, music, makeup, modeling, UGC, pilates, instagirl, etc.)

Download the result sample for the “fashion” keyword.

AspectDetails
OverviewExtract emails from Instagram profiles or posts that contain a specific keyword. Broad keywords are recommended for better results.
Pros
  • Fast and cost-effective
Cons
  • Limited to about 5,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Facebook Scraper

 


facebook keyword scraper

Advice: use general keywords to get more results (fashion, music, makeup, modeling, UGC, pilates, etc.)

Download the result sample for the “fashion” keyword with email validation.

AspectDetails
OverviewScrape emails from Facebook by searching for a specific keyword in profiles, groups, and posts. Broad keywords give better results.
Pros
  • Fast and cost-effective
Cons
  • Results are typically limited to around 5,000 emails
  • Scraping of specific groups is not supported
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Google Maps Scraper

 


google maps scraper

Advice: use general keywords to get more results (restaurant, gym, school, etc.)

Download the result sample for the “gym” keyword in London, UK, with email scraping and validation.

AspectDetails
OverviewCollect emails from Google Maps listings based on keywords and locations if a business listing includes a website, the scraper visits the site to extract the email.
Pros
  • Ideal for finding emails of local businesses
Cons
  • Limited results per location
  • Not all listings have websites or emails
Input Data
  • Target keyword
  • Location
Output Data
  • Email (if available on website)
  • Phone (if available on Maps)
  • Website
  • Name
  • Address
  • Rating
  • Category
Billing1 credit per place
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Email scraping

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Twitter Scraper

 


twitter keywords scraper flow

Advice: Use general keywords (fashion, music, makeup, modeling, UGC, pilates, etc.) to get more results.

Download the result sample for the “fashion” keyword

AspectDetails
OverviewExtract emails from Twitter by searching for a keyword in profiles or tweets. Broad keywords are recommended.
Pros
  • Quick and cost-effective
Cons
  • Limited to approximately 5,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Twitter Followers/Followings Scraper

 

Twitter Followers scraper example

Download the result sample for the “Product Hunt” Twitter Profile

AspectDetails
OverviewExtract emails from Twitter by searching for a specific profile’s followers/followings
Pros
  • Unlimited and accurate
Cons
  • Not all profiles include email
  • About 0,5% of profiles include email
Input Data
  • Target profile
Output Data
  • Email
  • Username
  • Name
  • Description
  • Followers
  • Followings
  • Location
  • Is verified
  • Statuses count
  • Media tweets count
  • ID
Billing0,5 credit per profile
Additional Options
  • Avoid duplicates from previous searches
  • Email validation

 

LinkedIn Scraper

 


linkedin keywords scraper flow

Advice: Use general keywords (fashion, music, makeup, modeling, UGC, pilates, etc.) to get more results.

Download the result sample for the “fashion” keyword

AspectDetails
OverviewGather emails from LinkedIn by searching for a keyword in profiles or posts. Using broad terms increases the likelihood of finding more emails.
Pros
  • Fast and cost-effective
Cons
  • Typically gives up to 5,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

YouTube Scraper

 


youtube scraper flow

Advice: Use general keywords (fashion, music, makeup, modeling, UGC, pilates, etc.) to get more results.

Download the result sample for the “fashion” keyword

AspectDetails
OverviewScrape emails from YouTube by searching for a keyword in channel profiles or video descriptions. Broad keywords are advisable.
Pros
  • Quick and cost-effective
Cons
  • Limited to around 5,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

TikTok Scraper


tiktok keyword scraper flow

Advice: Use general keywords (fashion, music, makeup, modeling, UGC, pilates, etc.) to get more results.

Download the result sample for the “fashion” keyword

AspectDetails
OverviewExtract emails from TikTok by searching for a keyword in profiles or video captions. Broad keywords are recommended for optimal results.
Pros
  • Fast and affordable
Cons
  • Results are typically capped at 5,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Multiple Channels Scraper

This method allows simultaneous scraping across multiple channels using keywords, including all the above keyword scraping methods: Instagram, Facebook, LinkedIn, Twitter, YouTube, and TikTok.
All scraping methods are unified under a single framework. The scraping process sequentially goes through each social network, streamlining data collection across these platforms.

Advice: Use general keywords (fashion, music, makeup, modeling, UGC, pilates, etc.) to get more results.

Download the sample of results for the “fashion” keyword.

AspectDetails
OverviewScrape emails from multiple sources. Broad keywords are advisable.
Pros
  • Quick and cost-effective
Cons
  • Limited to around 20,000 emails
Input Data
  • Target keyword
Output Data
  • Email
  • Full name
  • Profile/post link
Billing1 credit per email
Additional Options
  • Avoid duplicates from previous searches
  • Email validation
  • Include synonyms in the search

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Additional Features

Each new search scrapes data from the same starting point, which causes it to include duplicates from previous ones (for the same search parameters). To avoid this, do not repeat the exact search multiple times or use the “Avoid duplicates from previous searches” feature.

Email validation ensures that an email address is accurate and can receive messages.

Statuses:

– Verified: The email is valid.

– Unverifiable: Unable to verify the email.

– Invalid: The email is not valid.

Synonym matching using AI is applied to increase the number of results.

Conclusion

Socleads provides a robust email scraping tool suite tailored to different platforms and needs. Whether targeting specific hashtags on Instagram, searching for local businesses on Google Maps, or mining data from social media profiles, Socleads offers flexible options to maximize your data collection efforts efficiently and cost-effectively. Use the tables above to select the scraping method that best aligns with your objectives.