Instagram profiles contain useful public signals for creator discovery and business research: biographies, follower counts, business categories, websites, and publicly listed contact details. The challenge is turning a list of usernames into consistent records that can be filtered and reviewed.
Manual research works for a few profiles, but bulk projects need a stable schema and a repeatable process.
Start with a focused username list
Do not begin by collecting unrelated profiles. Build a source list around a niche, campaign, location, customer segment, or competitor set. A focused input makes the resulting dataset easier to qualify.
The Instagram Profile Scraper & Business Lead Extractor accepts plain usernames, @usernames, or full Instagram profile URLs. It can process multiple profiles in one run.
Example input:
{
"usernames": [
"openai",
"instagram"
],
"includeAboutSection": false
}
The normalized output includes username, profile URL, full name, biography, followers, following, post count, verification, business status, category, website, and public business email or phone when available.
Build qualification rules
Follower count alone is a weak qualification signal. Combine it with category, biography keywords, posting activity, verification, website availability, and public business status. For creator discovery, you may prioritize niche relevance over audience size. For local business research, category and external website can be more important.
Keep missing values as missing rather than treating them as negative signals. Many legitimate profiles do not publicly display contact information.
Export and review the results
Apify datasets can be exported in CSV, Excel, and JSON formats. They can also be consumed through the API for scheduled workflows. Before importing records into a CRM, deduplicate by username or profile URL and manually review the shortlisted profiles.
Use only publicly available information for legitimate research, respect privacy and platform requirements, and avoid unsolicited bulk messaging. The dataset is most valuable when it reduces repetitive research while leaving final qualification to a person.
Run the profile-research workflow on Apify: Instagram Profile Scraper & Business Lead Extractor.
