apidojo-io/apidojo-skills617 installs

finding-real-estate-professionals-on-twitter

Q: How do I install this agent skill?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-real-estate-professionals-on-twitter.

Q: Is this agent skill safe to install?

Review the displayed partner audits, complete source, permissions, dependencies, and exact revision before installing.

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 list from Twitter. Returns username, bio, follower count, verification status, location, and website per user. Ideal for PropTech SaaS vendors, mortgage product teams, and B2B service providers targeting real estate professionals.

How do I install this agent skill?

npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-real-estate-professionals-on-twitter

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Is this agent skill safe to install?

Gen Agent Trust Hubpass
The skill facilitates finding real estate professionals on Twitter by utilizing the Apify platform. It provides clear instructions for using a specific Twitter scraper and includes scoring logic for ranking results. No malicious patterns or security risks were identified.
Socketpass
No alerts
Snykwarn
Risk: MEDIUM · 1 issue

What does this agent skill do?

Finding Real Estate Professionals On Twitter

Inputs

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Twitter profile or tweet URLs
`twitterHandles`	array	Optional	`[]`	Twitter usernames (without @)
`twitterUserIds`	array	Optional	`[]`	Twitter user IDs
`getFollowers`	boolean	Optional	`false`	Extract follower lists
`getFollowing`	boolean	Optional	`false`	Extract following lists
`getRetweeters`	boolean	Optional	`false`	Extract retweeters of a tweet URL
`includeUnavailableUsers`	boolean	Optional	`false`	Include unavailable/suspended users
`maxItems`	number	Optional	Unlimited	Maximum users to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~twitter-user-scraper" --input '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}' --output results.json --format json

REST API fallback

curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["realtor", "real estate agent"], "maxItems": 100}'

If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~twitter-user-scraper and the input above.

Scoring & Ranking

Score each user by:

followers → normalized 0-1 (cap at 50K), weight 0.30
bio_match_score (contains: realtor, broker, real estate, property, agent, MLS) → 0 or 1, weight 0.40
has_website → 0 or 1, weight 0.30

score = 0.30 * min(followers / 50000, 1.0) + 0.40 * int(bio_match) + 0.30 * int(has_website)

Classification

Score	Tier	Label
≥ 0.70	A	PRIME_OUTREACH
0.40–0.69	B	HOT_CANDIDATE
< 0.40	C	LOW_PRIORITY

Edge Cases

Generic bio keywords: "house" or "home" match too broadly. Use "realtor", "real estate agent", "MLS".
Personal accounts mixed in: Filter by followers > 200 and has website link.
Bot accounts: Unusually high following-to-follower ratio — filter out.
Keyword not in bio: Twitter user search matches bio text — results may vary if bio is non-standard.
International agents: Use country-specific terms (e.g., "estate agent" for UK).

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/apidojo-io/apidojo-skills/finding-real-estate-professionals-on-twitter">View finding-real-estate-professionals-on-twitter on skillZs</a>