Instagram Lead Qualifier

Turn a list of Instagram usernames into scored, ready to action leads. Each profile is scraped and scored for fit against your brand, with niche, account type, brand safety, and a ready to send opening line.

What you get

For every profile:

• Profile basics: full name, bio, followers, following, posts, verified and business flags, category, website, public email and phone
• Niche: the profile's main topic
• Account type: business, creator, personal, or brand
• Brand safety: safe, review, or risky, with a short reason
• Fit score: 0 to 100 against your brand brief
• Fit reason: one sentence explaining the score
• Outreach opener: a friendly first line for a DM or email

Use cases

• Influencer and creator partnership shortlists
• Outbound lead scoring before you spend time on manual review
• Brand safety screening of profiles before a campaign
• Prioritizing a scraped list of profiles by fit

How to use

1. Add the Usernames to qualify (with or without @)
2. Optionally write a Brand brief describing your product or ideal partner. Fit scores are calculated against it. Leave it empty to score general lead quality
3. Optionally set the Model
4. Run the actor. Each profile becomes one row in the Dataset tab, ready to sort by fit score

Output example

{
  "username": "natgeo",
  "followerCount": 269213109,
  "category": "",
  "niche": "photography and travel",
  "accountType": "business",
  "brandSafety": "safe",
  "brandSafetyReason": "Highly reputable brand known for quality content.",
  "fitScore": 95,
  "fitReason": "Aligns perfectly with premium photography and travel.",
  "outreachOpener": "Hi! We're big fans of your stunning visuals and would love to explore a collaboration."
}

Notes

• Provide a clear brand brief for the most useful fit scores.
• One profile that fails to resolve never stops the rest of the run.
• A small fast model keeps cost per profile low while still producing strong qualifications.