apidojo-io/apidojo-skills

finding-brand-ambassador-candidates

Finds brand ambassador candidates on Instagram and TikTok using apidojo's scrapers on Apify.

Ver código fuente
Documento original del Skill

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

Finding Brand Ambassador Candidates

Identifies creators who already post about a brand or product organically — these are the highest-converting ambassador recruits because their content is authentic and their audience trusts them.

Prerequisites

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

Inputs

ParameterTypeRequiredDefaultNotes
startUrlsarray✅[]Instagram URLs — profiles, hashtags, locations, audio pages, reels
untilstringOptional—Scrape posts until this date (YYYY-MM-DD)
maxItemsnumberOptionalUnlimitedMaximum posts to return
customMapFunctionstringOptional—JavaScript function to transform each output object

Workflow

Progress:
- [ ] Step 1: Search brand hashtags on both platforms
- [ ] Step 2: Identify repeat posters
- [ ] Step 3: Score ambassador fit
- [ ] Step 4: Check for competing partnerships
- [ ] Step 5: Deliver ranked ambassador pipeline

Step 1: Search Brand Mentions

Instagram:

Tool: apify:run-actor
Actor: "apidojo~instagram-scraper"
Input: {"keywords": ["#[brand]", "#[brand]review", "#[brand]community", "#[brandproduct]"], "maxItems": 200}

TikTok:

Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input: {"keywords": ["#[brand]", "#[brand]review", "#[brand]tiktokmademebuyit"], "maxItems": 300}

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~instagram-scraper" \
  --input '{"param": "value"}'

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

# Save as JSON
node scripts/run_actor.js \
  --actor "apidojo~instagram-scraper" \
  --input '{"param": "value"}' \
  --output YYYY-MM-DD_results.json --format json
APIFY_TOKEN must be set in environment or .env file.

REST API fallback:

bash
# Instagram
curl -X POST "https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"keywords": ["#[brand]", "#[brand]review"], "maxItems": 200}'

Step 2: Score Ambassador Fit

For each repeat poster (appeared ≥ 2 times):

ambassador_score = (post_count / 5) * 0.25                             # organic depth
                 + (engagement_rate / 5.0) * 0.30                      # audience quality
                 + (has_competing_sponsor ? 0 : 1) * 0.25              # exclusivity signal
                 + (follower_count in 1000..50000 ? 1 : 0.6) * 0.20   # partnership tier

Competing sponsor check: Scan last 20 posts for #ad or #sponsored with a brand that competes in the same category. If found: has_competing_sponsor = true.

Step 3: Edge Cases

  • Brand's own reposts appear in hashtag: Drop posts where ownerUsername = brand account
  • Repeat poster is a bot: Check: ratio of followers/following ≤ 0.1 AND recent posts are all different brands — likely a spam/bot account
  • Low brand mention specificity: Creator mentions the brand once in passing — not a genuine advocate; require at least one post that is primarily about the brand
  • Creator already in ambassador program: No reliable way to detect this via scraping; note this as a known limitation — outreach will reveal it

Output Format

# Brand Ambassador Pipeline: [BRAND/PRODUCT]
Creators found: [N] | Repeat advocates: [N] | High-fit: [N] | Date: [DATE]

## Tier 1 — High-Fit Ambassadors (Multiple Organic Posts)
| Creator | Platform | @Handle | Followers | Eng Rate | Brand Posts | Competing Sponsor | Score |
|---------|---------|---------|-----------|----------|------------|------------------|-------|
| [name] | IG/TT | @[handle] | [N] | [X%] | [N] | [Yes/No] | [0.XX] |

## Tier 2 — Early Advocates (1-2 Brand Posts)
| Creator | Platform | Followers | Brand Posts | Eng Rate |
|---------|---------|-----------|------------|----------|

## Outreach Angle
For each Tier 1 creator, note: their most engaging brand post — reference it in outreach.

Troubleshooting

Brand hashtag has too few posts: Brand may have low organic social presence — search product category hashtags and look for anyone mentioning brand by name in caption. All high-fit creators already have competing sponsors: Indicates the category is saturated. Consider offering an exclusive deal to a mid-tier creator to lock out competition. No repeat posters found: Brand lacks loyal vocal advocates — this itself is a finding. Consider product seeding to build an organic advocate base before formal ambassador program launch.

del mismo repositorio

Más Skills

Todos los Skills
apidojo-io
Comunidad

scraping-tiktok-posts-by-location

Extracts TikTok posts tagged at a specific location using apidojo's TikTok Location Scraper on Apify. Triggers when the user asks to: get TikTok videos from a specific location, scrape TikTok posts tagged at a place, find TikTok content from a city or venue, collect TikTok videos geotagged at a location URL, export TikTok location-tagged content, or pull TikTok posts from a place page. Returns video title, views, likes, comments, shares, channel info, hashtags, and timestamp per post. Ideal for

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

monitoring-google-news-coverage-for-brand

Monitors Google News coverage for a brand using apidojo's Google Search scraper on Apify. Triggers when the user asks to: track news coverage about a brand on Google, monitor press mentions in Google News, find recent news articles mentioning a company, track media coverage for a brand or executive, monitor competitor news coverage, find press releases or news stories about a brand on Google, or research how a company is being covered in the press. Returns article title, publication, date, URL,

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

scraping-tweets-by-keyword

Scrapes tweets matching any keyword, hashtag, phrase, or boolean query using apidojo's Twitter Search scraper on Apify. Triggers when the user asks to: scrape tweets about a topic, fetch tweets containing a keyword or hashtag, export Twitter search results to a dataset, get all tweets mentioning a phrase, pull recent tweets for a search term, or collect tweet data for analysis or research. Returns tweet text, author, likes, retweets, replies, timestamp, and tweet URL per result. Ideal for resear

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

scraping-tweets-from-account

Scrapes all tweets, replies, and media from any Twitter/X account using apidojo's Tweet scraper on Apify. Triggers when the user asks to: get all tweets from a Twitter account, export a user's tweet history, scrape a specific Twitter profile's posts, fetch the latest tweets from an account, download tweet data from a user timeline, or collect all posts from a Twitter username. Returns tweet text, likes, retweets, replies, media URLs, and timestamp per tweet. Ideal for journalists, researchers, c

instalaciones
1
GitHub Stars
1
Actualizado
13 may