How to Scrape Google Jobs Results.1. Sign up for a Scrapeless account and get an API key.2. Construct the API request URL, including the required parameters. With millions of job postings available online, manually browsing through Google Jobs can be time-consuming and inefficient. Scraping Google Jobs results allows you to automate the process, saving you valuable time and giving you quick access to the latest job listings. Whether you're a recruiter, developer, or job seeker looking to collect relevant data, this guide will show you step-by-step how to scrape Google Jobs results effectively and responsibly. Let’s get started!
Google Jobs aggregates job listings from multiple sources, including job boards, company websites, and staffing agencies. Scraping Google Jobs can provide you with data on:
- Job Market Trends: Track in-demand skills, salary ranges, and job titles.
- Competitive Analysis: Analyze job postings from competitors.
- Recruitment Insights: Improve hiring strategies based on real-time data.
Given that Google Jobs serves a vast array of job seekers and employers, scraping this data can offer significant advantages for job boards, recruitment agencies, HR departments, and market researchers.
While scraping Google Jobs can be immensely valuable, it comes with challenges:
- Anti-Scraping Technologies: Google employs techniques like CAPTCHA, IP blocking, and rate limiting to prevent bots from scraping data.
- Frequent HTML Changes: Google frequently updates its web structure, requiring scrapers to adapt continuously.
- Legal Concerns: Scraping Google Jobs can violate Google’s terms of service, so it’s essential to proceed with caution.
That said, with the right tools, you can bypass these barriers and scrape Google Jobs results effectively
Scrapeless Google Job Scraping API is a tool for extracting job data from the Google Jobs search engine. It allows users to obtain structured data related to a specific job search, such as job title, company name, job location, posting date, job description, etc. through simple API calls. The API is designed to simplify the data collection process, allowing users to focus on analyzing and leveraging data without having to deal with the complexities of web scraping and parsing.
Scrapeless Google Job Scraping API provides a variety of parameters that allow users to customize search requests according to specific needs.
Here are some commonly used parameters:
| Parameter | Required | Desc |
|---|---|---|
| engine | TRUE | Set parameter to google_jobs to use the Google Jobs API engine. |
| q | TRUE | Parameter defines the query you want to search. |
| uule | FALSE | Parameter is the Google encoded location you want to use for the search. uule and location parameters can't be used together. |
| google_domain | FALSE | Parameter defines the Google domain to use. It defaults to google.com. Head to the Google domains page for a full list of supported Google domains. |
| gl | FALSE | Parameter defines the country to use for the Google search. It's a two-letter country code (e.g., us for the United States, uk for United Kingdom, or fr for France). Head to the Google countries page for a full list of supported Google countries. |
| hl | FALSE | Parameter defines the language to use for the Google Jobs search. It's a two-letter language code (e.g., en for English, es for Spanish, or fr for French). Head to the Google languages page for a full list of supported Google languages. |
| next_page_token | FALSE | Parameter defines the next page token. It is used for retrieving the next page of results. Up to 10 results are returned per page. The next page token can be found in the SerpApi JSON response: pagination -> next_page_token. |
| lrad | TRUE | Defines search radius in kilometers. Does not strictly limit the radius. |
| ltype | TRUE | Parameter will filter the results by work from home. |
| uds | TRUE | Parameter enables to filter search. It's a string provided by Google as a filter. uds values are provided under the section: filters with uds, q, and link values provided for each filter. |
Key Features：
- Efficient job data crawling: Get Google Jobs data in real time and return structured job information for easy analysis and use.
- Easy integration: Supports multiple programming languages (Python, JavaScript, etc.), and the API returns JSON format, which is easy to integrate and analyze.
- Bypass anti-crawl technology: Automatically handle CAPTCHA and anti-crawl measures to ensure stable crawling without worrying about IP blocking.
- Multi-dimensional filtering and custom search: Supports filtering by job type, location, salary, etc., and allows custom queries to accurately match needs.
- Paging support: Automatically crawl multiple pages of job information to avoid manual paging processing.
- Global coverage: Supports cross-regional crawling, adapts to multi-language environments, and provides global job data.
- Analysis and reporting: The crawled data can be used for recruitment trend analysis, providing detailed crawling reports and statistics.
- Reliable technical support: 24/7 customer service support, providing detailed documentation and examples to help developers get started quickly.
Sign up for a free trial of Scrapeless and get 100,000 requests! Experience efficient web scraping now, easily get data such as Google Jobs, and help your project get started quickly! Don't miss this opportunity, get started now!
Using the Scrapeless Google Job Scraping API is very simple, just follow these steps:
To get started, you’ll need to obtain your API Key from the Scrapeless Dashboard:
- Log in to the Scrapeless Dashboard.
- Navigate to API Key Management.
- Click Create to generate your unique API Key.
- Once created, simply click on the API Key to copy it.
- Visit the API documentation.
- Click "Try it" for the desired endpoint.
- Enter your API key in the "Authentication" field.
- Fill in the necessary parameters in the parameter settings. (Here we use barista new york as an example)
The following are examples of requests:
import requests
import json
url = "https://api.scrapeless.com/api/v1/scraper/request"
payload = json.dumps({
"actor": "scraper.google.jobs",
"input": {
"engine": "google_jobs",
"q": "barista new york"
}
})
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
The following are some examples of results. You can view specific information through the API documentation.
{
"filters": [
{
"name": "Salary",
"link": "https://www.google.com/search?sca_esv=7833c6f0638101e1&gl=us&hl=en&q=Barista+new+york+salary&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRh8EK4tyFmWRymX9upubXBbjB9KOIUC88GpIatv-n-DLX9TtKJXNMMIdYO2nQxb4xNzjttr0Uu43Lm-GmXHPL687fgvBmKH8qj2H7a2iTdJo0v3e37tUrY02SF9SsGMZ3e6PQT6rfudnU2eFoPJICzOXs6zcIod6Pfwk5wDtpqw_NEY9J&udm=8&sa=X&ved=2ahUKEwiD1tP_mtGLAxUFvokEHZrtEVQQxKsJegQIDRAB&ictx=0",
"parameters": {
"uds": "ABqPDvztZD_Nu18FR6tNPw2cK_RRh8EK4tyFmWRymX9upubXBbjB9KOIUC88GpIatv-n-DLX9TtKJXNMMIdYO2nQxb4xNzjttr0Uu43Lm-GmXHPL687fgvBmKH8qj2H7a2iTdJo0v3e37tUrY02SF9SsGMZ3e6PQT6rfudnU2eFoPJICzOXs6zcIod6Pfwk5wDtpqw_NEY9J",
"q": "Barista new york salary"
}
},
{
"name": "Remote",
"link": "https://www.google.com/search?sca_esv=7833c6f0638101e1&gl=us&hl=en&q=barista%2Bnew%2Byork+remote&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR9uegVYgQNm0A_FIwPHdCgp6BeV4cyixUjw1hgRDJQE5JaCKrpdXj8qAqGf0tBZYFos3UXw0dnkvxmLPGYpQ1yE9796a05FNrMXiTref7_yMgP5WfYbP3wPdvk9Hpbv8q3y-R1UTsn-dAlNF5N6OicWqVsFU&udm=8&sa=X&ved=2ahUKEwiD1tP_mtGLAxUFvokEHZrtEVQQxKsJegQICxAB&ictx=0",
"parameters": {
"uds": "ABqPDvztZD_Nu18FR6tNPw2cK_RR9uegVYgQNm0A_FIwPHdCgp6BeV4cyixUjw1hgRDJQE5JaCKrpdXj8qAqGf0tBZYFos3UXw0dnkvxmLPGYpQ1yE9796a05FNrMXiTref7_yMgP5WfYbP3wPdvk9Hpbv8q3y-R1UTsn-dAlNF5N6OicWqVsFU",
"q": "barista+new+york remote"
}
},
{
"name": "Date posted",
"options": [
{
"name": "Yesterday",
"link": "https://www.google.com/search?sca_esv=7833c6f0638101e1&gl=us&hl=en&q=barista+new+york since yesterday&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRnjGLk826jw_-m_gI8QkMG3DU62Ft1lBDpjQtJxI9n5nlvphZ_FhozuiZa-pL3OlfNFOvId9p73T3jFBmYJw05hbE-N1E2J12Se4S2XNj_H36-FruHX4cIe_j8ucbIbgQDsccD5Ht0tt1_fw91zMseXuY-BwyvhnOJiTzcgUbCOHZIRrKI_unZuhz8K9n1iIpXWV3AWpk95QNoL9B0qFURXiTlhykG63NrQz80D-aaM61vCTXQbTneARk4u1P870m6qmrYlxzFIesLLxnrvkOGKouA-AdW2wQ-2NEBupAK1JbQkL9sm7bwG6gYn0jjt-9oEOUaw&udm=8&sa=X&ved=2ahUKEwiD1tP_mtGLAxUFvokEHZrtEVQQkbEKegQIDhAC",
"parameters": {
"uds": "ABqPDvztZD_Nu18FR6tNPw2cK_RRnjGLk826jw_-m_gI8QkMG3DU62Ft1lBDpjQtJxI9n5nlvphZ_FhozuiZa-pL3OlfNFOvId9p73T3jFBmYJw05hbE-N1E2J12Se4S2XNj_H36-FruHX4cIe_j8ucbIbgQDsccD5Ht0tt1_fw91zMseXuY-BwyvhnOJiTzcgUbCOHZIRrKI_unZuhz8K9n1iIpXWV3AWpk95QNoL9B0qFURXiTlhykG63NrQz80D-aaM61vCTXQbTneARk4u1P870m6qmrYlxzFIesLLxnrvkOGKouA-AdW2wQ-2NEBupAK1JbQkL9sm7bwG6gYn0jjt-9oEOUaw",
"q": "barista new york since yesterday"
}
},
{
"name": "Last 3 days",
"link": "https://www.google.com/search?sca_esv=7833c6f0638101e1&gl=us&hl=en&q=barista+new+york in the last 3 days&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRd1B6K-OJf2BQH1wRTP-WvlEGmt8-DwYPt192b7rPO2QTcWR6ib4kDRMCnL5tVQO8zO8RIE3h2OD731flcyiUpJA7ZkSb5ZOOKftaPnoXuSflVkzggT4i1-LmAD9fzly5xZp6y4SnVxMgTtvd2-WpYQVk-HlJi9DiLqRclx-08Fctyj76ilhCrPNTcmeYWmuT3xuop_zwqsM1_UfNSL0c8bLdkX1nPpadMD-n5uhcQ4y6Rbc4e50nyyw5-sVgk4XWD1razm6vSiNlcXlYeWYJ3osuWXRrHChhUVY3tXnTCv8I1_94wzPzrFNfwp_-qsGrzzJMWg&udm=8&sa=X&ved=2ahUKEwiD1tP_mtGLAxUFvokEHZrtEVQQkbEKegQIDhAD",
"parameters": {
"uds": "ABqPDvztZD_Nu18FR6tNPw2cK_RRd1B6K-OJf2BQH1wRTP-WvlEGmt8-DwYPt192b7rPO2QTcWR6ib4kDRMCnL5tVQO8zO8RIE3h2OD731flcyiUpJA7ZkSb5ZOOKftaPnoXuSflVkzggT4i1-LmAD9fzly5xZp6y4SnVxMgTtvd2-WpYQVk-HlJi9DiLqRclx-08Fctyj76ilhCrPNTcmeYWmuT3xuop_zwqsM1_UfNSL0c8bLdkX1nPpadMD-n5uhcQ4y6Rbc4e50nyyw5-sVgk4XWD1razm6vSiNlcXlYeWYJ3osuWXRrHChhUVY3tXnTCv8I1_94wzPzrFNfwp_-qsGrzzJMWg",
"q": "barista new york in the last 3 days"
}
},
{
"name": "Last week",
"link": "https://www.google.com/search?sca_esv=7833c6f0638101e1&gl=us&hl=en&q=barista+new+york in the last
- No CAPTCHAs: Scrapeless bypasses CAPTCHA, ensuring a smooth scraping process.
- Automatic Proxy Management: The service rotates IP addresses and manages proxies, so you won’t get banned by Google.
- High Success Rate: Scrapeless is built to handle Google’s anti-bot measures effectively, providing a high success rate for scraping.
- Structured Data: Scrapeless returns data in an organized format, making it easy to analyze and integrate into your workflow.
In addition, Scrapeless SERP API also supports extracting data from Google Maps, Google Flights, Google Trends, Google search results pages, etc.
While scraping can be effective, it’s important to follow best practices to avoid issues:
- Respect Google’s Terms of Service: Scraping Google Jobs can violate its terms of service, so always use scraping responsibly and understand the potential legal risks.
- Throttle Requests: Don’t overload Google with too many requests in a short period. Use features like rate-limiting or random delays to avoid detection.
- Monitor Scraping Performance: Regularly monitor the performance of your scraping tool to ensure it’s working as expected and the data is accurate.
1. What is a Google Jobs Scraper?
A Google Jobs Scraper is a tool designed to extract job listings from Google Jobs. It can help you collect valuable data such as job titles, company names, locations, salaries, and job descriptions.
2. Is Google Maps scraping legal?
Scraping publicly-available data for ethical reasons does not violate law.
Scraping Google Jobs results can provide valuable insights into the job market, help optimize recruitment strategies, and allow businesses to stay competitive. Scrapeless offers an excellent solution for scraping job listings from Google without the hassle of dealing with CAPTCHAs, IP bans, or complex coding. By using Scrapeless, you can quickly collect structured job data and use it for your market research or recruitment efforts.
Whether you’re a data analyst, recruiter, or business looking to understand hiring trends, Scrapeless provides a simple, reliable, and effective way to access Google Jobs data.
Use Scrapeless now and improve your scraping efficiency! Just sign up and you can get 100,000 free requests, join our Discord community and participate in activities to earn free credits!