apidojo-io/apidojo-skills

tracking-startup-founders-on-twitter

Tracks startup founders and their activity on Twitter using apidojo's Twitter scrapers.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill tracking-startup-founders-on-twitter

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

Tracking Startup Founders On Twitter

Executes tracking startup founders on twitter using apidojo scrapers. Part of the apidojo intelligence skills library.

Prerequisites

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

Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Twitter profile or tweet URLs
twitterHandlesarrayOptional[]Twitter usernames (without @)
twitterUserIdsarrayOptional[]Twitter user IDs
getFollowersbooleanOptionalfalseExtract follower lists
getFollowingbooleanOptionalfalseExtract following lists
getRetweetersbooleanOptionalfalseExtract retweeters of a tweet URL
includeUnavailableUsersbooleanOptionalfalseInclude unavailable/suspended users
maxItemsnumberOptionalUnlimitedMaximum users to return
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Define parameters
- [ ] Step 2: Run twitter-user-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):

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

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

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~twitter-user-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~twitter-user-scraper"
Input:
{
  "searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"],
  "maxItems": 100
}

REST API fallback:

bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["founder [SECTOR]", "building [SECTOR] startup", "CEO [SECTOR]", "#buildinpublic [SECTOR]"], "maxItems": 100}'

Wait for SUCCEEDED. Fetch dataset:

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

Step 3: Classify Results

classification: EARLY_STAGE (< 1K followers, building in public) | SEED_STAGE (1K-10K, active fundraising signals) | GROWTH_STAGE (> 10K, scaling)

Step 4: Score Each Result

score = founder_signal_score = (bio_contains_founder_title ? 1 : 0) * 0.35 + (recent_product_tweet ? 1 : 0) * 0.35 + min(followerCount/10000, 1) * 0.30

Step 5: Edge Cases

  • Many 'founder' accounts are actually solopreneurs or side-project builders — not venture-backed; verify by looking for funding mentions or accelerator affiliations in bio

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

# Tracking Startup Founders On Twitter
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.

Relacionados por tarea

del mismo repositorio

Más Skills

Todos los Skills
apidojo-io
Comunidad

scraping-urban-dictionary-definitions

Extracts definitions, examples, and community votes from Urban Dictionary using apidojo's Urban Dictionary Scraper on Apify. Triggers when the user asks to: get Urban Dictionary definitions for a word or phrase, look up slang terms on Urban Dictionary, scrape definitions for internet slang or memes, export Urban Dictionary entries for a keyword, find how a term is defined by the internet community, collect crowd-sourced definitions for multiple words, or analyze slang usage and voting patterns.

instalaciones
2
GitHub Stars
1
Actualizado
13 may
apidojo-io
Comunidad

finding-speaking-opportunities-on-twitter

Finds speaking opportunities and event organizer contacts on Twitter using apidojo's Twitter scrapers. Triggers when the user asks to: find speaking opportunities on Twitter, discover conferences looking for speakers on X, find event organizers calling for speaker submissions, identify call-for-speakers announcements in an industry on Twitter, find podcast or summit hosts looking for guests, discover virtual event opportunities for thought leadership, or build a speaking opportunity pipeline fro

instalaciones
2
GitHub Stars
1
Actualizado
13 may
apidojo-io
Comunidad

extracting-google-paa-questions-for-seo

Extracts Google People Also Ask questions for SEO content planning using apidojo's Google Search scraper on Apify. Triggers when the user asks to: find People Also Ask questions on Google for SEO, extract PAA questions for keyword research, discover what questions Google shows for a topic, find long-tail SEO questions from Google, research FAQ content opportunities from Google SERP, build a list of questions to answer in blog content from Google, or extract Google autocomplete and PAA data for c

instalaciones
1
GitHub Stars
1
Actualizado
13 may
apidojo-io
Comunidad

scraping-youtube-channel-info

Extracts YouTube channel metadata, subscriber counts, video counts, and descriptions using apidojo's YouTube Channel Scraper on Apify. Triggers when the user asks to: get YouTube channel information, scrape YouTube channel stats, fetch subscriber count for a YouTube channel, export channel metadata in bulk, find YouTube channels by keyword, get channel descriptions and tags, check if a YouTube channel is verified, or research YouTube channels by niche. Returns channel name, subscriber count, vid

instalaciones
1
GitHub Stars
1
Actualizado
13 may