finding-twitter-spaces-hosts-by-topic

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SKILL.md

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.