# Scrape React Frontend Developer Jobs

**Use case:** 

Scrape React frontend developer jobs from HiringCafe filtered by tech stack, with salary range, company and apply links. Export to CSV, JSON or Excel.

## Input

```json
{
  "searchQuery": "frontend developer",
  "locations": [],
  "workplaceTypes": [],
  "commitmentTypes": [],
  "dateFetchedPastNDays": 121,
  "sortBy": "default",
  "transparentSalaryOnly": false,
  "salaryCurrency": "USD",
  "jobTitleQuery": "",
  "technologyKeywordsQuery": "React",
  "requirementsKeywordsQuery": "",
  "companyNames": [],
  "excludedCompanyNames": [],
  "industries": [],
  "maxItems": 200,
  "startPage": 0,
  "useApifyProxy": false,
  "proxyGroups": [],
  "includeRawData": false
}
```

## Output

```json
{
  "title": {
    "label": "Job Title",
    "format": "text"
  },
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "salaryIsTransparent": {
    "label": "Transparent Salary",
    "format": "boolean"
  },
  "salaryCurrency": {
    "label": "Currency",
    "format": "text"
  },
  "yearlyMinSalary": {
    "label": "Min Salary (yr)",
    "format": "number"
  },
  "yearlyMaxSalary": {
    "label": "Max Salary (yr)",
    "format": "number"
  },
  "hourlyMinSalary": {
    "label": "Min Salary (hr)",
    "format": "number"
  },
  "hourlyMaxSalary": {
    "label": "Max Salary (hr)",
    "format": "number"
  },
  "technicalTools": {
    "label": "Tech & Skills",
    "format": "array"
  },
  "seniorityLevel": {
    "label": "Seniority",
    "format": "text"
  },
  "roleYearsExperience": {
    "label": "Role Exp (yrs)",
    "format": "number"
  },
  "requirementsSummary": {
    "label": "Requirements",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [HiringCafe Jobs Scraper](https://apify.com/automly/hiringcafe-jobs-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automly/hiringcafe-jobs-scraper) to learn more, explore other use cases, and run it yourself.