finding-freelancers-by-skill-on-twitter — скилл для Claude Code

---
name: finding-freelancers-by-skill-on-twitter
description: >
  Finds freelancers and independent contractors to recruit using apidojo's Twitter scrapers on Apify.
  Triggers when the user asks to: find freelancers on Twitter for contract work, discover independent contractors for hire in a skill area on X, find freelance developers designers writers or marketers on Twitter, identify consultants or solopreneurs by specialty on Twitter for project work, find contractors available for hire via social signals, build a freelancer roster from Twitter for agency or project needs, or find independent workers actively seeking clients.
  Returns handle, name, skill set (from bio), client signals, follower count, and availability indicators.
  Ideal for agencies, startup operators, and project managers needing on-demand specialist talent.
license: Apache-2.0
metadata:
  author: apidojo
  version: "1.0"
  apify-actors: apidojo/twitter-user-scraper, apidojo/tweet-scraper
---

# Finding Freelancers And Independent Contractors on Twitter

Discovers freelancers and independent contractors on Twitter via skill keywords, portfolio/project signals, and open-to-work indicators. Twitter surfaces professionals who actively discuss their craft — a strong passive candidate signal.

## Prerequisites

- `APIFY_TOKEN` environment variable set
- Optional: Apify MCP server installed

## Inputs

| Parameter | Type | Required | Default | Notes |
|-----------|------|----------|---------|-------|
| `startUrls` | array | Optional | `[]` | Twitter profile or tweet URLs |
| `twitterHandles` | array | Optional | `[]` | Twitter usernames (without @) |
| `twitterUserIds` | array | Optional | `[]` | Twitter user IDs |
| `getFollowers` | boolean | Optional | `false` | Extract follower lists |
| `getFollowing` | boolean | Optional | `false` | Extract following lists |
| `getRetweeters` | boolean | Optional | `false` | Extract retweeters of a tweet URL |
| `includeUnavailableUsers` | boolean | Optional | `false` | Include unavailable/suspended users |
| `maxItems` | number | Optional | Unlimited | Maximum users to return |
| `customMapFunction` | string | Optional | — | JavaScript function to transform each output object |

## Workflow

```
Progress:
- [ ] Step 1: Search for role-specific tweets
- [ ] Step 2: Collect unique handles
- [ ] Step 3: Enrich profiles
- [ ] Step 4: Score candidate fit
- [ ] Step 5: Deliver candidate list
```

### Step 1: Search Queries


**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~tweet-scraper"
Input:
{
  "searchTerms": ["freelance [SKILL]", "[SKILL] for hire", "available for contract [SKILL]"],
  "maxItems": 300,
  "tweetLanguage": "en"
}
```

**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchTerms": ["freelance [SKILL]", "[SKILL] for hire", "available for contract [SKILL]"], "maxItems": 300}'
```

Collect unique `author.username` from results.

### Step 2: Enrich Profiles

**If Apify MCP is available:**
```
Tool: apify:run-actor
Actor: "apidojo~twitter-user-scraper"
Input: {"usernames": ["[username1]", "[username2]", "..."]}
```

**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 '{"usernames": ["handle1", "handle2"]}'
```

### Step 3: Filter and Score

**Skill confirmation:** bio contains keywords: "freelance", "independent", "for hire", "consulting", "contract", "available", "hire me", "DM for work"

**availability_signal = bio or recent tweets contain 'available', 'taking clients', 'open for projects', 'DM for rates'**

**Candidate score:**
```
candidate_score = (skill_confirmed ? 1 : 0) * 0.35
                + (open_to_work_signal ? 1 : 0) * 0.30
                + (followerCount in 200..20000 ? 1 : 0.6) * 0.20
                + (tweeted_in_last_30_days ? 1 : 0) * 0.15
```

Activity: active (< 30 days) | passive (30–90 days) | dormant (> 90 days)

### Step 4: Edge Cases

- **Company/brand accounts in results**: Filter where `followerCount > 50K` AND bio contains no personal pronouns; these are likely brand accounts
- **< 20 candidates found**: Broaden skill term; remove location or seniority filter; try adjacent skills
- **Bot detection**: Flag `followerCount / followingCount < 0.05` AND `tweetsCount < 20` as potential bot
- **Location not matching**: Bio location is free text — use fuzzy match; accept partial city/country names

## Output Format

```
# Freelancers And Independent Contractors Candidates: [FREELANCE_SKILL]
Profiles found: [N] | Open-to-work: [N] | Active: [N] | Date: [DATE]

## Priority: Open-to-Work Candidates
| Name | @Handle | Specialty | Location | Followers | Last Active | Score |
|------|---------|----------|---------|-----------|------------|-------|

## Passive Candidates
| Name | @Handle | Specialty | Location | Followers | Score |
|------|---------|----------|---------|-----------|-------|

## Bio Highlights (Top 5)
1. @[handle]: "[bio excerpt]"
```

## Troubleshooting

**All results are agencies/companies not individuals**: Add personal pronouns filter or search `"I am a [role]"`, `"I do [skill]"`.
**Role too generic returns too many results**: Add location OR seniority qualifier.
**No open-to-work signals**: Most candidates don't signal publicly — treat passive candidates as warm leads with personalized outreach referencing their recent content.