# Freelance Job Leads Monitor — LinkedIn (`davidbenittah/freelance-job-leads-monitor`) Actor

Watch LinkedIn Jobs for fresh freelance & contract postings in your niche and get only the NEW leads since your last run — with company website and size.

- **URL**: https://apify.com/davidbenittah/freelance-job-leads-monitor.md
- **Developed by:** [David](https://apify.com/davidbenittah) (community)
- **Categories:** Lead generation, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $15.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Freelance Job Leads Monitor — LinkedIn

Watch LinkedIn Jobs for **fresh freelance and contract postings** in your niche and get **only the new leads since your last run** — each one enriched with the company website, LinkedIn page and employee count.

A job posting that says *"looking for a freelancer"* is the warmest lead that exists: the company has budget, a need, and is actively searching **this week**. This Actor turns that public signal into a deduplicated lead feed you can plug into a schedule, a Google Sheet, Make, Zapier or Slack.

### What it does

1. Searches public LinkedIn Jobs for your keywords (e.g. `video editor`, `brand designer`, `webflow developer`), bounded to a location and a freshness window (last 24h / week / month).
2. Keeps only postings with a real **freelance/contract signal**: employment type `Contract` or `Temporary`, or phrases like *freelance*, *independent contractor*, *contract basis*, *prestataire* in the title or description. (Toggle off to monitor all jobs.)
3. Remembers every lead it has already seen (per search, in a persistent state store) and outputs **only the NEW ones** on every later run — schedule it weekly and you get a clean drip of fresh leads, never duplicates.

### Why not just use a jobs scraper?

A raw scraper returns the same hundreds of postings every run, mostly full-time roles. This monitor does the lead-gen work on top: freelance-signal filtering, deduplication across runs, company enrichment, and a canonical job URL without tracking parameters.

### Input example

```json
{
  "keywords": ["video editor", "motion designer"],
  "location": "United States",
  "postedWithin": "week",
  "requireFreelanceSignal": true,
  "maxJobsPerSearch": 50
}
````

The defaults work as-is: just add your keywords and run.

### Output example

One dataset item per new lead:

```json
{
  "jobId": "4436778469",
  "jobUrl": "https://www.linkedin.com/jobs/view/4436778469",
  "title": "Freelance AI Video Creator",
  "companyName": "The Flex",
  "companyWebsite": "https://theflex.global/",
  "companyLinkedinUrl": "https://www.linkedin.com/company/the-flex",
  "companyEmployeesCount": 49,
  "location": "Miami, FL",
  "postedAt": "2026-07-03",
  "salary": "",
  "employmentType": "Full-time",
  "seniorityLevel": "Not Applicable",
  "applicantsCount": 25,
  "applyUrl": "https://theflex.global/careers/ai-video-creator",
  "description": "We are looking for a creative video maker to join on a project basis...",
  "matchedSignals": ["freelance"],
  "isNewSinceLastRun": true,
  "isBaseline": false,
  "firstDetectedAt": "2026-07-06T14:00:00.000Z"
}
```

A `SUMMARY` record in the run's key-value store gives you the counts: jobs scanned, leads matching signals, new leads, total known.

### How to use it as a lead machine

1. Run once with your keywords → the first run saves a baseline (also output, flagged `isBaseline: true`).
2. Create a **weekly schedule** on this Actor with the same input.
3. Every week, the dataset contains only postings that appeared since last week — the freshest possible moment to apply or pitch.
4. Filter on `applicantsCount` low values to prioritize postings almost nobody has seen yet.

### Fair use & data

- Scrapes only the **public** LinkedIn jobs search (no login, no private data).
- Outputs **company-level information only** — recruiter/job-poster personal profiles are deliberately excluded.
- Inputs are hard-capped (5 keywords, 200 jobs per keyword) to keep runs bounded and predictable.

### FAQ

**Does it work outside the US?** Yes — `location` is free text (country, region or city) and the freelance signals include French (`prestataire`); add your own signal phrases in any language via `freelanceSignals`.

**Can I monitor all new jobs, not just freelance ones?** Yes — set `requireFreelanceSignal` to `false` and it becomes a general new-job monitor for your keywords.

**How do I reset the memory?** Set a new `monitorId` — each ID keeps its own baseline.

# Actor input Schema

## `keywords` (type: `array`):

What you would type in the LinkedIn Jobs search bar, e.g. 'video editor' or 'brand designer'. Hard maximum: 5 keywords per run.

## `location` (type: `string`):

Free-text location as LinkedIn accepts it, e.g. 'United States', 'France' or 'London'. Leave empty for worldwide.

## `postedWithin` (type: `string`):

Only scan jobs posted in this window. 'week' is the sweet spot for a weekly schedule.

## `requireFreelanceSignal` (type: `boolean`):

When enabled (default), a job is kept only if its employment type is Contract/Temporary or its title/description contains a freelance signal. Disable to monitor ALL new jobs for the keywords.

## `freelanceSignals` (type: `array`):

Phrases (case-insensitive) that mark a job as freelance/contract work when found in the title or description. Leave empty to use the built-in list (freelance, independent contractor, contract basis, temporary, prestataire...).

## `maxJobsPerSearch` (type: `integer`):

Safety cap on jobs scanned per keyword. Hard maximum: 200.

## `scrapeCompanyDetails` (type: `boolean`):

Adds company website, LinkedIn page and employee count to each lead (slower scrape).

## `includeBaselineInOutput` (type: `boolean`):

The very first run saves a baseline of current postings. When enabled, those leads are also pushed to the dataset (flagged isBaseline=true). Later runs always output only NEW leads.

## `monitorId` (type: `string`):

Optional. Advanced: name this monitor to keep several baselines for the same search, or reset one by changing the ID.

## Actor input object example

```json
{
  "keywords": [
    "video editor"
  ],
  "location": "United States",
  "postedWithin": "week",
  "requireFreelanceSignal": true,
  "maxJobsPerSearch": 50,
  "scrapeCompanyDetails": true,
  "includeBaselineInOutput": true
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "video editor"
    ],
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("davidbenittah/freelance-job-leads-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["video editor"],
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("davidbenittah/freelance-job-leads-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "video editor"
  ],
  "location": "United States"
}' |
apify call davidbenittah/freelance-job-leads-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=davidbenittah/freelance-job-leads-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Freelance Job Leads Monitor — LinkedIn",
        "description": "Watch LinkedIn Jobs for fresh freelance & contract postings in your niche and get only the NEW leads since your last run — with company website and size.",
        "version": "1.0",
        "x-build-id": "YbOaOL9hFslec0U9d"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/davidbenittah~freelance-job-leads-monitor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-davidbenittah-freelance-job-leads-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/davidbenittah~freelance-job-leads-monitor/runs": {
            "post": {
                "operationId": "runs-sync-davidbenittah-freelance-job-leads-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/davidbenittah~freelance-job-leads-monitor/run-sync": {
            "post": {
                "operationId": "run-sync-davidbenittah-freelance-job-leads-monitor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Job keywords to watch",
                        "type": "array",
                        "description": "What you would type in the LinkedIn Jobs search bar, e.g. 'video editor' or 'brand designer'. Hard maximum: 5 keywords per run.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "location": {
                        "title": "Location",
                        "type": "string",
                        "description": "Free-text location as LinkedIn accepts it, e.g. 'United States', 'France' or 'London'. Leave empty for worldwide."
                    },
                    "postedWithin": {
                        "title": "Posted within",
                        "enum": [
                            "day",
                            "week",
                            "month"
                        ],
                        "type": "string",
                        "description": "Only scan jobs posted in this window. 'week' is the sweet spot for a weekly schedule.",
                        "default": "week"
                    },
                    "requireFreelanceSignal": {
                        "title": "Keep only freelance/contract jobs",
                        "type": "boolean",
                        "description": "When enabled (default), a job is kept only if its employment type is Contract/Temporary or its title/description contains a freelance signal. Disable to monitor ALL new jobs for the keywords.",
                        "default": true
                    },
                    "freelanceSignals": {
                        "title": "Freelance signal phrases",
                        "type": "array",
                        "description": "Phrases (case-insensitive) that mark a job as freelance/contract work when found in the title or description. Leave empty to use the built-in list (freelance, independent contractor, contract basis, temporary, prestataire...).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxJobsPerSearch": {
                        "title": "Max jobs per keyword",
                        "minimum": 1,
                        "maximum": 200,
                        "type": "integer",
                        "description": "Safety cap on jobs scanned per keyword. Hard maximum: 200.",
                        "default": 50
                    },
                    "scrapeCompanyDetails": {
                        "title": "Enrich with company details",
                        "type": "boolean",
                        "description": "Adds company website, LinkedIn page and employee count to each lead (slower scrape).",
                        "default": true
                    },
                    "includeBaselineInOutput": {
                        "title": "Output the baseline on first run",
                        "type": "boolean",
                        "description": "The very first run saves a baseline of current postings. When enabled, those leads are also pushed to the dataset (flagged isBaseline=true). Later runs always output only NEW leads.",
                        "default": true
                    },
                    "monitorId": {
                        "title": "Custom monitor ID",
                        "type": "string",
                        "description": "Optional. Advanced: name this monitor to keep several baselines for the same search, or reset one by changing the ID."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```