How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill analyzing-competitor-twitter-profile-contentBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
Analyzing Competitor Twitter Profile Content
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | Twitter profile URLs (x.com or twitter.com formats) |
twitterHandles | array | Optional | [] | Twitter usernames (without @) |
start | string | Optional | — | Tweets after this date (YYYY-MM-DD or YYYY-MM-DDHH:MM:SSUTC) |
end | string | Optional | — | Tweets before this date (YYYY-MM-DD or YYYY-MM-DDHH:MM:SSUTC) |
includeNativeRetweets | boolean | Optional | false | Include native retweets in results |
onlyImages | boolean | Optional | false | Only tweets containing images |
getReplies | boolean | Optional | false | Include tweet replies |
minReplyCount | number | Optional | — | Minimum reply count threshold |
getAboutData | boolean | Optional | false | Fetch full profile about data |
maxItems | number | Optional | Unlimited | Maximum tweets to return |
customMapFunction | string | Optional | — | JavaScript 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~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}'
# Save as CSV
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}' --output results.csv --format csv
# Save as JSON
node scripts/run_actor.js --actor "apidojo~twitter-profile-scraper" --input '{"twitterHandles": ["competitor_handle"], "maxItems": 100}' --output results.json --format jsonREST API fallback
bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~twitter-profile-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"twitterHandles": ["competitor_handle"], "maxItems": 100}'If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~twitter-profile-scraper and the input above.
Scoring & Ranking
Score each tweet for competitive intelligence value:
engagement_total = likeCount + retweetCount + replyCount + quoteCount→ normalized 0-1 (cap at 10K), weight 0.50viewCount→ normalized 0-1 (cap at 500K), weight 0.30has_media(contains image or video) → 0 or 1, weight 0.20
python
score = 0.50 * min(engagement_total / 10000, 1.0) + 0.30 * min(viewCount / 500000, 1.0) + 0.20 * int(has_media)Classification
| Score | Tier | Label |
|---|---|---|
| ≥ 0.70 | A | HIGHIMPACTTWEET |
| 0.40–0.69 | B | NOTABLE_TWEET |
| < 0.40 | C | LOW_ENGAGEMENT |
Edge Cases
- Private account: Returns 0 tweets. Check if competitor locked their account.
- Minimum 40 tweets: First 40 are included at base pricing. For more, cost is $0.0004/tweet.
- Retweets included: Results include RTs. Filter by checking if text starts with "RT @".
- Date range + few results: Some accounts tweet rarely — widen date range or remove filter.
- Multiple competitors: Run for each handle separately and combine datasets.
