# Golangprojects Go Jobs Scraper (`tapedawn/golangprojects-jobs-scraper`) Actor

Extract every Go (Golang) job from Golangprojects.com: title, company, location, remote flag, salary range, posting date, full description, apply link, and skill tags. Filter by region, skill or country tag, keyword, or posting date.

- **URL**: https://apify.com/tapedawn/golangprojects-jobs-scraper.md
- **Developed by:** [Ed Tan](https://apify.com/tapedawn) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 job details

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

## Golangprojects Go Jobs Scraper

Pull every open Go (Golang) job from [Golangprojects.com](https://www.golangprojects.com/), one of the longest-running job boards dedicated to Go, as clean JSON, CSV, or Excel. Built for recruiters tracking Go hiring, job aggregators, salary researchers, and AI agents that need a reliable feed of Go roles without parsing HTML.

### What you get

For every job: title, company, location, remote flag, salary text as advertised, posting month, whether it is a featured listing, a short summary, and the company logo. With **Fetch job details** on (default), each record also carries the exact posting date, the date the listing runs until, employment type, city, region, and country code, a structured salary range with currency and period, the full description as plain text, the direct apply link, the company's LinkedIn page, and the skill and location tags the board assigns.

```json
{
  "id": "gxj",
  "url": "https://www.golangprojects.com/golang-go-job-gxj-Remote-Software-Developer-Go-Security-Analytics-Berlin-RedMimicry-remotework.html",
  "title": "Software Developer (Go) - Security Analytics",
  "company": "RedMimicry",
  "location": "Berlin, Germany",
  "remote": true,
  "salary_text": "69,000 – 77,000 EUR",
  "posted_month": "September 2026",
  "is_featured": true,
  "posted_at": "2026-09-22",
  "valid_through": "2026-12-31",
  "employment_type": "Full-time",
  "city": "Berlin",
  "country_code": "DE",
  "salary_min": 69000.0,
  "salary_max": 77000.0,
  "salary_currency": "EUR",
  "salary_period": "YEAR",
  "description": "We are building a new capability that turns fragmented, noisy security logs into ...",
  "apply_url": "https://redmimicry.com/careers/software-developer-go-security-analytics/?...",
  "company_linkedin": "https://www.linkedin.com/company/redmimicry/",
  "skills": ["machinelearning", "javascript", "sql", "typescript"],
  "location_tags": ["germany", "germany/berlin"]
}
```

### Filters

- **Region**: all jobs (default, deduplicated across the board's pages), remote only, USA and Canada, or outside USA and Canada.
- **Skill or location tag**: read one of the board's tag pages instead, for example `kubernetes`, `aws`, `python`, `germany`, or `germany/berlin`.
- **Keyword**: keep only jobs whose title, company, or summary contains the text.
- **Remote only**: keep only jobs marked 100% remote or remote work possible.
- **Posted after**: only jobs posted on or after a date, handy for daily runs. Needs job details, because listing pages only show the month.
- **Maximum jobs** caps the run.

### Pricing

Pay per event. You are charged one `job-listing` event per job when details are off, or one `job-detail` event per job when details are on. Nothing else. Set a maximum total charge on the run and the Actor stops cleanly when it is reached. The whole board is usually a few dozen jobs, so a full run costs cents.

### Use with AI agents

Every field is a flat, predictable key, so the dataset drops straight into an agent's context or a spreadsheet. Run it on a schedule with **Posted after** set to yesterday to get only new postings.

### Fair use

This Actor reads public listings, sends one request per page and per job with no parallel requests, identifies itself with a clear user agent, follows the site's robots.txt, and does not bypass any access control. Apply links keep the board's referral parameters so employers see where candidates came from. Please respect the job board's terms when reusing the data.

# Actor input Schema

## `maxItems` (type: `integer`):

Stop after this many jobs have been saved.

## `fetchDetails` (type: `boolean`):

Open each job page to capture the full description, exact posting date, structured salary, apply link, company LinkedIn, and skill tags. Costs one job-detail event per job instead of one job-listing event.

## `region` (type: `string`):

Which listing pages to read. 'all' combines every region page and removes duplicates.

## `tag` (type: `string`):

Read one tag page instead of a region, using the slug from golangprojects.com/golang-jobs/..., for example kubernetes, aws, python, germany, or germany/berlin. Overrides region.

## `keyword` (type: `string`):

Only keep jobs whose title, company, or summary contains this text (case-insensitive).

## `remoteOnly` (type: `boolean`):

Only keep jobs marked 100% remote or remote work possible.

## `postedAfter` (type: `string`):

Only keep jobs posted on or after this date (YYYY-MM-DD). Needs Fetch job details, since listing pages only show the month.

## Actor input object example

```json
{
  "maxItems": 100,
  "fetchDetails": true,
  "region": "all",
  "remoteOnly": false
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "keyword": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("tapedawn/golangprojects-jobs-scraper").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 = { "keyword": "" }

# Run the Actor and wait for it to finish
run = client.actor("tapedawn/golangprojects-jobs-scraper").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 '{
  "keyword": ""
}' |
apify call tapedawn/golangprojects-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

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/lR6Gx56EjVNa4aiQK/builds/cybze6w3WsPlKmh0Y/openapi.json