apidojo-io/apidojo-skills

researching-internet-slang-and-cultural-trends

Extracts slang definitions, cultural terms, and crowd-sourced meanings from Urban Dictionary using apidojo's Urban Dictionary Scraper on Apify.

View source
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Researching Internet Slang And Cultural Trends


Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarrayOptional[]Urban Dictionary search URLs
keywordsarrayOptional[]Keywords/slang terms to search
maxItemsnumberOptionalUnlimitedMaximum definitions to return
customMapFunctionstringOptionalJavaScript function to transform each output object

How to Run

Using run_actor.js (recommended)

bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

# Save as CSV
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.csv --format csv

# Save as JSON
node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.json --format json

REST API fallback

bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~urbandictionary-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

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


Scoring & Ranking

Score each definition by:

  • community_approval = thumbsUp / (thumbsUp + thumbsDown) → weight 0.50
  • thumbsUp → normalized 0-1 (cap at 50K), weight 0.30
  • recency (newer entries = higher score) → weight 0.20
python
approval = thumbsUp / max(thumbsUp + thumbsDown, 1)
score = 0.50 * approval + 0.30 * min(thumbsUp / 50000, 1.0) + 0.20 * recency_score

Classification

ScoreTierLabel
≥ 0.70ACONSENSUS_DEFINITION
0.40–0.69BCOMMUNITY_ACCEPTED
< 0.40CDISPUTED

Edge Cases

  • No results: Term not in Urban Dictionary — may be too new or too niche.
  • NSFW content: Urban Dictionary is explicit by default — filter results downstream for professional use.
  • Many definitions: Popular terms have 50+ entries — use maxItems to cap and focus on top voted.
  • Brand as slang: Brands sometimes appear as slang entries — check if the definition is positive or negative.
  • Evolving language: Definitions from 5+ years ago may be outdated — filter by createdAt if recency matters.
from this repository

More skills

All skills
apidojo-io
Community

building-twitter-prospect-lists

Builds targeted B2B prospect lists from Twitter/X profiles and posts using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find Twitter users with a specific job title or keyword in bio, build a list of founders or executives on Twitter, find people tweeting about a topic for outreach, identify potential customers on X, scrape Twitter profiles matching an ICP description, find decision-makers in a specific industry on Twitter, or export a list of leads from Twitter bios. Returns name, username, bio, follower count, location, and recent tweet samples per prospect. Ideal for B2B SDRs, growth hackers, founder-led sales teams, and partnership managers.

installs
1
GitHub stars
0
Updated
May 13
apidojo-io
Community

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 content planning. Returns PAA questions, SERP position, related keywords, and content structure recommendations. Ideal for SEO strategists, content writers, and blog editors building search-optimized content.

installs
1
GitHub stars
0
Updated
May 13
apidojo-io
Community

extracting-tiktok-comments-for-research

Extracts and analyzes TikTok comments from any video or creator using apidojo's TikTok Comments scraper on Apify. Triggers when the user asks to: scrape TikTok comments from a video, analyze what viewers say about a TikTok post, extract comment data for sentiment analysis, find top comments on a viral TikTok video, collect TikTok user feedback from comments, build a dataset of TikTok community reactions, study audience sentiment on TikTok content, or research what a target audience cares about from TikTok comments. Returns commenter username, comment text, likes on comment, reply count, and timestamp. Ideal for market researchers, brand managers, content creators, and academic researchers.

installs
1
GitHub stars
0
Updated
May 13
apidojo-io
Community

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 from Twitter. Returns event name, organizer handle, topic focus, deadline signals, event size, and submission URL. Ideal for startup founders, executives, coaches, and consultants building thought leadership through speaking.

installs
1
GitHub stars
0
Updated
May 13