When your target market doesn’t live on LinkedIn, traditional databases like Apollo or ZoomInfo fall short. For DTC, creator, or niche consumer brands, finding high-fit leads becomes increasingly difficult after the first few campaigns. Once your initial list is exhausted, you’re stuck trying to manually hunt for more.

This play uses Instagram’s "Suggested For You" feature to continuously expand your list. Every public profile surfaces dozens of similar accounts that share the same audience, tone, or niche. By scraping these suggestions, filtering them against your ICP, and looping the best ones back into your system, you can create a steady stream of qualified leads without relying on LinkedIn or paid data sources.

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• Clay: For enrichment, scoring, and workflows
• Apify: To scrape Instagram’s suggested accounts
• n8n: To loop fresh data back into Clay (overcoming Clay's "write-to-other-table" limitation)

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• Step #1: Start with an initial list of 100 public Instagram profiles that reflect your ideal customer.
• Step #2: Use Apify to scrape each account’s suggested profiles on Instagram. These are similar in niche, style, and tone, perfect lookalikes.
• Step #3: Send the scraped list to an n8n webhook. Parse the data into separate records and send them into a new Clay table via webhook. This is a workaround for Clay’s limitation with looping data back into the same table.
• Step #4: Enrich and score each new profile in Clay using your own ICP rules, this could include follower count, bio keywords, website, or any other relevant criteria.
• Step #5: Feed the qualified profiles back into n8n and repeat the loop.

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You’ve now built an infinite loop that continuously discovers and scores new lookalike contacts, automatically expanding your TAM. This play uncovers high-fit leads that aren’t in traditional databases and surfaces prospects your competitors aren’t reaching.