
Data scraping for influencers (automation)
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£21/hr(approx. $28/hr)
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Description
Experience Level: Expert
Hello I’m looking for data for a specific set of influencers
Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube
With an audience over 40
The influencer will be speaking on topics like financial planning, many wellbeing categories.
Pls tell me how you would do this and how much you’ll charge for the data
Also can we verify the engagement rate?
Say per 1,000 emails and verify the emails?
A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV.
YouTube (API — Free & Clean)
Use: YouTube Data API v3
Script logic:
1. Loop through keyword list
2. Search type=channel for each keyword
3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description)
4. Filter: subscribers between 50,000 and 500,000
5. Export all results to CSV
Keywords to loop:
retirement planning lifestyle
retirement vlog over 60
grandparenting tips grandma
empty nest life over 50
pickleball over 50
senior fitness over 60
menopause health women over 50
midlife women wellness
caregiver aging parents
RV retirement full time
gardening over 50 vegetable
men's health over 50
medicare senior health
Christian women over 50
faith retirement lifestyle
active aging senior
Output columns:
Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched
Instagram (Phantombuster)
Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie)
Script/phantom logic:
1. Run Instagram Hashtag Post Scraper on each hashtag below
2. Pull 500 posts per hashtag → extract unique profile URLs
3. Feed profile URLs into Instagram Profile Scraper
4. Extract: username, follower count, bio text, email from bio, website URL
5. Filter: followers 50,000–500,000
6. Export to CSV
Hashtags to scrape:
#retirementplanning #retirementlife #retireearly
#grandparents #grandmalife #nanalife #grandpalife
#emptynesters #lifeafterkids #over50life
#pickleballlife #activeaging #seniorfitness
#womenover50 #menopause #midlifewomen
#caregiverlife #agingparents #seniorcare
#rvlife #fulltimerv #retirementtravel
#vegetablegarden #gardeningover50 #growyourown
#menshealth #healthyaging #over50fitness
#medicare #seniorliving #agingwell
#christianwomen #faithoverfear #christianliving
Output Format
Single CSV, one row per creator:
Platform | Handle/Channel | URL | Followers |
Email | Bio/Description | Category | Source Keyword
Filtering Rules (build into script)
∙ Followers: 50,000–500,000 only
∙ Skip accounts with 0 posts or last post over 60 days
∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college”
∙ Flag rows with no email (for Apollo enrichment pass)
∙ Deduplicate on URL before export
Deliverable
Specifically for influencers with 75K+ followers on Instagram or 50k subs on YouTube
With an audience over 40
The influencer will be speaking on topics like financial planning, many wellbeing categories.
Pls tell me how you would do this and how much you’ll charge for the data
Also can we verify the engagement rate?
Say per 1,000 emails and verify the emails?
A Python script using the YouTube Data API v3 (free, official) and Phantombuster (Instagram) to automatically search, filter, and export influencer data to a Google Sheet or CSV.
YouTube (API — Free & Clean)
Use: YouTube Data API v3
Script logic:
1. Loop through keyword list
2. Search type=channel for each keyword
3. Pull channel details: name, URL, subscriber count, description, email (regex parse from description)
4. Filter: subscribers between 50,000 and 500,000
5. Export all results to CSV
Keywords to loop:
retirement planning lifestyle
retirement vlog over 60
grandparenting tips grandma
empty nest life over 50
pickleball over 50
senior fitness over 60
menopause health women over 50
midlife women wellness
caregiver aging parents
RV retirement full time
gardening over 50 vegetable
men's health over 50
medicare senior health
Christian women over 50
faith retirement lifestyle
active aging senior
Output columns:
Channel Name | URL | Subscribers | Email | Description snippet | Keyword searched
Instagram (Phantombuster)
Use: Phantombuster Instagram Hashtag Scraper + Profile Scraper (client will provide API key and session cookie)
Script/phantom logic:
1. Run Instagram Hashtag Post Scraper on each hashtag below
2. Pull 500 posts per hashtag → extract unique profile URLs
3. Feed profile URLs into Instagram Profile Scraper
4. Extract: username, follower count, bio text, email from bio, website URL
5. Filter: followers 50,000–500,000
6. Export to CSV
Hashtags to scrape:
#retirementplanning #retirementlife #retireearly
#grandparents #grandmalife #nanalife #grandpalife
#emptynesters #lifeafterkids #over50life
#pickleballlife #activeaging #seniorfitness
#womenover50 #menopause #midlifewomen
#caregiverlife #agingparents #seniorcare
#rvlife #fulltimerv #retirementtravel
#vegetablegarden #gardeningover50 #growyourown
#menshealth #healthyaging #over50fitness
#medicare #seniorliving #agingwell
#christianwomen #faithoverfear #christianliving
Output Format
Single CSV, one row per creator:
Platform | Handle/Channel | URL | Followers |
Email | Bio/Description | Category | Source Keyword
Filtering Rules (build into script)
∙ Followers: 50,000–500,000 only
∙ Skip accounts with 0 posts or last post over 60 days
∙ Skip accounts where bio contains: “under 18”, “teen”, “student”, “college”
∙ Flag rows with no email (for Apollo enrichment pass)
∙ Deduplicate on URL before export
Deliverable
Stefan D.
100% (5)Projects Completed
4
Freelancers worked with
4
Projects awarded
12%
Last project
9 May 2026
United Kingdom
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