# Freelancermap (`andinfinity/freelancermap`) Actor

Freelancermap is a platform for freelancers to find projects and clients. This scraper allows you to extract project listings from the site.

- **URL**: https://apify.com/andinfinity/freelancermap.md
- **Developed by:** [Christian](https://apify.com/andinfinity) (community)
- **Categories:** Lead generation, Jobs, Other
- **Stats:** 141 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Freelancermap Scraper

Freelancermap is a platform for freelancers to find projects and clients. This scraper allows you to extract project listings from the site.

### Filters

- `maxProjects`: maximum number of projects to return, default is `100`
- `maxDaysOld`: maximum age of projects in days, default is `14`. Projects older than this will not be scraped.
- `afterProjectId`: only return projects published after this project ID (exclusive). Use this to get only new projects since your last scrape. Example: `2890931`

**Note**: The scraper will stop when any of these limits is reached, whichever comes first: `maxProjects`, `maxDaysOld`, or `afterProjectId`.

#### Countries

| Country              | ID  |
| -------------------- | --- |
| Germany              | 1   |
| Austria              | 2   |
| Switzerland          | 3   |
| United Kingdom       | 4   |
| USA                  | 5   |
| Russia               | 6   |
| Spain                | 7   |
| Italy                | 8   |
| Liechtenstein        | 10  |
| Ukraine              | 11  |
| Hungary              | 12  |
| New Zealand          | 13  |
| France               | 14  |
| Slovakia             | 15  |
| Belgium              | 39  |
| Bulgaria             | 46  |
| Finland              | 56  |
| Croatia              | 87  |
| Luxembourg           | 94  |
| Netherlands          | 106 |
| Norway               | 107 |
| Poland               | 114 |
| Portugal             | 115 |
| Romania              | 117 |
| Saudi Arabia         | 119 |
| Sweden               | 120 |
| Czech Republic       | 133 |
| United Arab Emirates | 143 |

### Example Output

This is an example output for a project:

```json
{
    "url": "https://www.freelancermap.com/project/python-developer-2890931",
    "projectTitle": "Python Developer",
    "projectUrl": "https://www.freelancermap.com/project/python-developer-2890931",
    "description": "On behalf of our customer, we're hiring a Python Developer to help build and support the Back End logic and orchestration engine behind an AI-powered digital experience platform. You'll develop scalable, maintainable services that enable agent-based workflows and enterprise integrations.\n What You'll DoBuild reusable Python modules for multi-agent orchestrationDevelop integrations via REST APIs, SDKs, and connectorsImplement RAG pipelines, vector DB access, and data flows (CosmosDB, MongoDB, Databricks)Collaborate across AI, data, and platform teams to ensure performance and complianceSupport deployment, monitoring, and CI/CD in Azure environmentsWhat We're Looking For3-5 years of Python experience in production systemsStrong knowledge of APIs, async programming, and microservicesExperience with LLM frameworks (Semantic Kernel, OpenAI APIs, etc.)Familiarity with cloud platforms (Azure), data stores, and IaC tools (Terraform/Bicep)Nice to Have:\nExperience with agent-based or AI/ML systemsBackground in enterprise integrations (Workday, SAP, ServiceNow)Observability and structured logging experience",
    "keywords": [
        "Python (Programming Language)",
        "Artificial Intelligence",
        "Application Programming Interfaces (APIs)",
        "Microsoft Azure",
        "Computer Programming",
        "Continuous Integration",
        "Data Store",
        "MongoDB",
        "Production Systems",
        "SAP Applications",
        "Semantics",
        "Data Streaming",
        "Systems Integration",
        "Workflows",
        "Data/Record Logging",
        "Large Language Models",
        "Multi-Agent Systems",
        "Bicep",
        "Restful Api",
        "Terraform",
        "Workday",
        "Servicenow",
        "Databricks",
        "Microservices",
        "Linux",
        "Python (Programming Language)",
        "Recruitment",
        "+7",
        "Linux",
        "Python (Programming Language)",
        "Recruitment",
        "+7",
        "Linux",
        "Python (Programming Language)",
        "Recruitment",
        "+7"
    ],
    "city": "Lanark",
    "location": "London",
    "Start date": "ASAP",
    "Duration": "6 months",
    "from": "Xcede",
    "publishedAt": "23.06.2025",
    "projectId": "2890931",
    "industry": "IT",
    "contractType": "Freelance"
}
```

# Actor input Schema

## `maxDaysOld` (type: `integer`):

Maximum age of projects to scrape (in days)

## `maxProjects` (type: `integer`):

Maximum number of projects to scrape (prevents excessive usage)

## `afterProjectId` (type: `string`):

Only return projects published after this project ID (exclusive). Leave empty to get all projects.

## Actor input object example

```json
{
  "maxDaysOld": 14,
  "maxProjects": 100
}
```

# Actor output Schema

## `projectListings` (type: `string`):

All scraped project listings with complete details

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("andinfinity/freelancermap").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("andinfinity/freelancermap").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{}' |
apify call andinfinity/freelancermap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,andinfinity/freelancermap"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/s33Fll80wQhXj8yhx/builds/uiMtldpTffv9p0WkD/openapi.json
