.claude/skills/finding-real-estate-professionals-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Finds real estate agents, brokers, property investors, and real estate professionals on Twitter/X using apidojo's Twitter User Scraper on Apify. Triggers when the user asks to: find real estate agents on Twitter, discover property professionals on X for outreach, build a list of realtors active on Twitter, find real estate investors or brokers on X, prospect real estate professionals via their Twitter bios, identify mortgage brokers or property managers on Twitter, or compile a real estate professional contact lis…
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.claude/skills/finding-real-estate-professionals-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/finding-real-estate-professionals-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/finding-real-estate-professionals-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @apidojo-io/finding-real-estate-professionals-on-twitterclawhub inspect @apidojo-io/finding-real-estate-professionals-on-twitter --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:df1a95f4e596424a8e4b61fc21158a9c100f9b7c504a3eed5df809085c073abdskill-card.mdSKILL.mdInitial release – find and score real estate professionals on Twitter/X - Identifies real estate agents, brokers, investors, and related professionals using Twitter scraping. - Returns usernames, bios, verification status, follower count, location, and website for each user. - Ranks profiles based on bio keyword match, follower count, and presence of website. - Designed for PropTech vendors, mortgage product teams, and B2B providers for outreach and prospecting. - Simple scoring and tier assignment system (PRIME_OUTREACH, HOT_CANDIDATE, LOW_PRIORITY). - Includes filtering for edge cases such as bot detection and generic bio terms.