MCPInstall

finding-twitter-spaces-hosts-by-topic

by apidojo-ioMarketing & SEO

Finds Twitter Spaces hosts in a specific topic area using apidojo's Twitter scrapers. Triggers when the user asks to: find Twitter Spaces hosts in a niche, discover people who run Twitter Spaces about a topic, find Spaces hosts to collaborate with or get featured on, identify active Twitter Spaces communities in an industry, find hosts running regular business or tech Spaces on Twitter, build a Twitter Spaces outreach list for thought leadership, or discover Twitter audio show hosts in a professional category. Returns host handle, Space topic focus, frequency signals, co-host network, and audience size indicators. Ideal for thought leaders building audio presence, PR professionals, and community builders.

Installs
745
Last 24h
+8
Trending rank
#9843
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-twitter-spaces-hosts-by-topic
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads finding-twitter-spaces-hosts-by-topic automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Finding Twitter Spaces Hosts By Topic

Executes finding twitter spaces hosts by topic using apidojo scrapers. Part of the apidojo intelligence skills library.

Prerequisites

  • APIFY_TOKEN environment variable set
  • Optional: Apify MCP server installed

Inputs

ParameterTypeRequiredDefaultNotes
searchTermsarray✅[]Twitter advanced search queries (e.g. ["#AI lang:en", "from:NASA"])
sortstringOptionalTopSort order: Latest, Top, or Latest+Top
tweetLanguagestringOptional—ISO 639-1 language code (e.g. en)
maxItemsnumberOptionalUnlimitedMaximum tweets to return
onlyVerifiedUsersbooleanOptionalfalseOnly tweets from verified users
onlyTwitterBluebooleanOptionalfalseOnly Twitter Blue subscribers
onlyImagebooleanOptionalfalseOnly tweets with images
onlyVideobooleanOptionalfalseOnly tweets with videos
onlyQuotebooleanOptionalfalseOnly quote tweets
authorstringOptional—Filter to a specific author handle
inReplyTostringOptional—Tweets replying to a specific handle
mentioningstringOptional—Tweets mentioning a specific handle
geotaggedNearstringOptional—Tweets near a location
withinRadiusstringOptional—Radius around geotaggedNear
geocodestringOptional—Lat/lng + radius string
placeObjectIdstringOptional—Tweets tagged with a place
minimumRetweetsnumberOptional—Minimum retweet count
minimumFavoritesnumberOptional—Minimum like count
minimumRepliesnumberOptional—Minimum reply count
startstringOptional—Tweets after this date (YYYY-MM-DD)
endstringOptional—Tweets before this date (YYYY-MM-DD)
includeSearchTermsbooleanOptionalfalseAdd the matched search term to each tweet
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run tweet-scraper
- [ ] Step 3: Filter and classify results
- [ ] Step 4: Score by quality and relevance
- [ ] Step 5: Deliver output

Step 2: Run the Actor

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# Quick answer (prints table to chat)
node scripts/run_actor.js \
  --actor "apidojo~tweet-scraper" \
  --input '{"param": "value"}'

# Save as CSV
node scripts/run_actor.js \
  --actor "apidojo~tweet-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.csv --format csv

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~tweet-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json

APIFY_TOKEN must be set in environment or .env file.

If Apify MCP is available:

Tool: apify:run-actor
Actor: "apidojo~tweet-scraper"
Input:
{
  "searchTerms": ["Twitter Spaces [TOPIC]", "join my Space [TOPIC]", "hosting a Space about [TOPIC]", "upcoming Space [TOPIC]"],
  "maxItems": 100
}

REST API fallback:

curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["Twitter Spaces [TOPIC]", "join my Space [TOPIC]", "hosting a Space about [TOPIC]", "upcoming Space [TOPIC]"], "maxItems": 100}'

Wait for SUCCEEDED. Fetch dataset:

curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN"

Step 3: Classify Results

classification: REGULAR_HOST (> 2 Spaces/month) | OCCASIONAL_HOST (1-2/month) | ONE_TIME (single event) | UPCOMING (announced future Space)

Step 4: Score Each Result

score = spaces_host_score = (hosts_regularly: > 2/month = 1, 1/month = 0.6) * 0.40 + (followerCount > 2000 ? 1 : followerCount/2000) * 0.35 + (topic_alignment ? 1 : 0.5) * 0.25

Step 5: Edge Cases

  • Twitter Spaces announcement tweets don't always include #Spaces — search for 'link in bio' + 'Space' or the Spaces card URL pattern (twitter.com/i/spaces/) to identify Spaces-specific tweets

Additional fallbacks:

  • < 20 results: Broaden search terms; remove secondary filters
  • No results: Verify the search terms are correct; try alternate phrasings
  • Data quality issues: Remove entries with missing key fields; note count in output

Output Format

# Finding Twitter Spaces Hosts By Topic
Results: [N] | Date: [DATE]

| # | [Key Field] | [Metric 1] | [Metric 2] | [Classification] | [Score] |
|---|------------|-----------|-----------|-----------------|---------|
| 1 | [value] | [value] | [value] | [type] | [0.XX] |

## Summary
Top result: [description]
Key finding: [insight]

Troubleshooting

Too few results: Broaden the primary search term; remove restrictive filters. Low quality results: Apply minimum score threshold (≥ 0.50) to filter noise. Actor fails to run: Verify API key; check actor status at apify.com/apidojo.

FAQ

What does the finding-twitter-spaces-hosts-by-topic skill do?

Finds Twitter Spaces hosts in a specific topic area using apidojo's Twitter scrapers. Triggers when the user asks to: find Twitter Spaces hosts in a niche, discover people who run Twitter Spaces about a topic, find Spaces hosts to collaborate with or get featured on, identify active Twitter Spaces communities in an industry, find hosts running regular business or tech Spaces on Twitter, build a Twitter Spaces outreach list for thought leadership, or discover Twitter audio show hosts in a professional category. Returns host handle, Space topic focus, frequency signals, co-host network, and audience size indicators. Ideal for thought leaders building audio presence, PR professionals, and community builders.

How do I install finding-twitter-spaces-hosts-by-topic?

Run npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-twitter-spaces-hosts-by-topic in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/finding-twitter-spaces-hosts-by-topic/ (personal) or .claude/skills/finding-twitter-spaces-hosts-by-topic/ (project).

Which AI agents can use finding-twitter-spaces-hosts-by-topic?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is finding-twitter-spaces-hosts-by-topic safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains finding-twitter-spaces-hosts-by-topic?

It is published by apidojo-io in apidojo-io/apidojo-skills. It has 745 recorded installs.

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