Monitors Twitter for competitor hiring announcements to track growth signals using apidojo's Tweet scraper. Triggers when the user asks to: monitor competitor job postings on Twitter, track hiring signals from competitor companies on X, find out what roles competitors are hiring for on Twitter, analyze competitor team growth from their Twitter activity, monitor startup hiring signals for competitive intelligence, track which departments competitors are growing via their Twitter, or discover competitor expansion strategies from job post tweets. Returns company handle, role being posted, department, posting date, urgency signals, and growth pattern. Ideal for competitive intelligence teams, recruiters targeting competitor employees, and investors tracking company growth.
浏览器
analyzing-competitor-twitter-profile-content
试用Extracts and analyzes tweet history from competitor or brand Twitter profiles using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a competitor's Twitter account, analyze what a company posts on Twitter, audit a brand's tweet history, track what topics a competitor covers on X, compare Twitter content strategy between brands, extract posts from a company's Twitter timeline, or monitor a competitor's messaging and announcements on Twitter. Returns tweet text, engagement metrics (likes, retweets, replies, views), and author data. Ideal for competitive intelligence teams, PR analysts, and brand strategists.
它能做什么
Extracts and analyzes tweet history from competitor or brand Twitter profiles using apidojo's Twitter Profile Scraper on Apify. Triggers when the user asks to: get all tweets from a competitor's Twitter account, analyze what a company posts on Twitter, audit a brand's tweet history, track what topics a competitor covers on X, compare Twitter content strategy between brands, extract posts from a company's Twitter timeline, or monitor a competitor's messaging and announcements on Twitter. Returns tweet text, engagement metrics (likes, retweets, replies, views), and author data. Ideal for competitive intelligence teams, PR analysts, and brand strategists.
技能文档
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-DD_HH:MM:SS_UTC) |
end | string | Optional | — | Tweets before this date (YYYY-MM-DD or YYYY-MM-DD_HH:MM:SS_UTC) |
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)
# 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 json
REST API fallback
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
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 | HIGH_IMPACT_TWEET |
| 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.
相关技能
Identifies and tracks thought leaders and key voices in any industry on Twitter/X using apidojo's scrapers. Triggers when the user asks to: find the top voices in an industry on Twitter, identify thought leaders in a niche, discover who has the most influence in a topic area on X, find experts tweeting about a subject, build a list of influencers to engage with on Twitter, track who is gaining followers fastest in a category, or identify key opinion leaders in a field for PR or partnership outreach. Returns name, handle, follower count, engagement rate, bio keywords, and recent top tweets. Ideal for PR teams, community managers, and B2B content marketers.
Tracks product launch buzz and reactions on Twitter using apidojo's Twitter Search scraper. Triggers when the user asks to: track product launch buzz on Twitter, monitor Twitter reactions to a product launch, measure product launch sentiment on X, find tweets about a new product release, track how a product launch is being received on Twitter, monitor competitor product announcements on Twitter, or analyze the social media impact of a product launch. Returns tweet volume, sentiment distribution, top voices, geographic spread, and buzz score. Ideal for product marketing teams, PR professionals, and competitive analysts monitoring launches.
Monitors trending topics and conversations in a specific niche on Twitter using apidojo's Twitter Search scraper. Triggers when the user asks to: monitor trending topics in a niche on Twitter, track what's being discussed in an industry on X right now, find emerging conversations in a sector on Twitter, see what topics are trending in a specific community, track real-time buzz around a business topic on Twitter, or identify breaking trends before they hit mainstream media. Returns trending topics, tweet velocity, engagement signals, and top voices in the trend. Ideal for social media managers, PR teams, and real-time content strategists.
Finds trending Twitter topics and conversations for content ideation using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find trending topics on Twitter for content, discover what is being discussed in a niche on X right now, identify Twitter conversations to join with content, find trending hashtags in an industry on Twitter, research what topics are generating engagement in a space on X, discover viral tweet themes for blog or video content, or find what your target audience is talking about on Twitter this week. Returns trending topics, tweet volume signals, top engagement posts, and content angle suggestions. Ideal for content marketers, social media managers, newsletter writers, and real-time content teams.
Monitors and aggregates brand mentions on Twitter/X using apidojo's Tweet and Search scrapers on Apify. Triggers when the user asks to: track mentions of a brand on Twitter, find what people are saying about a company on X, monitor brand sentiment on Twitter, set up brand mention tracking, find customer complaints or praise about a product on Twitter, analyze brand reputation based on tweets, or measure share of voice on X compared to competitors. Returns tweet text, author, engagement metrics, sentiment signals, and timestamps per mention. Ideal for brand managers, PR teams, community managers, and reputation analysts.