When one job runs on several boards, Google Jobs shows a single listing with an Apply on link for each. Our Google Jobs scraper keeps the job and every source in one row.
Plans from €169/month · Free project assessment · Reply within 1 business day
Google Jobs has no category tree to walk: every result list starts from a search and a place. So the brief is a set of job titles or keywords, the cities or countries, and any filters that matter. We build the query matrix, run it through each country's own version of Google Search, and repair the crawler whenever Google reshapes the jobs panel. Rendering, pacing, proxy rotation and CAPTCHA handling are part of the service.
You choose one-off or a schedule - daily for a live market view, weekly for trend reports. Delivery comes as CSV, Excel or JSONLines, through our API, by SFTP or into Google Drive or your database, with documentation for every field.
A Google Jobs listing is a card Google assembles from job ads it finds on employer career sites and job boards. Our Google Jobs scraper opens each card and returns one row per job:
Employer details are business data and are delivered in full. Recruiter names, e-mail addresses and phone numbers that sometimes sit inside ad text are personal data and stay out by default; if a project needs them, they are handled under GDPR.
One search returns one ranked list for one place. A useful dataset is many such lists merged, and the work is in how they are cut and joined.
Google Jobs - often called Google for Jobs - is not a job board. Nobody posts an ad there. Google reads the job ads that employers publish on their career sites and that job boards carry, and shows them inside Google Search when someone searches for something like nurse jobs near me. A Jobs box opens the full list; the first results sit on the ordinary results page with a button to show more.
Google reads the title, employer, location, salary and dates from each ad. Google states that it does not allow expired job postings, so a job leaves the list once its source closes it. Listing providers do not pay to appear or to rank, and paid ads, when present, carry the label Ad at the top. Results are ordered by relevance by default, weighing the search terms, location and listing date.
The experience works in many countries across Europe, Asia, the Americas, Sub-Saharan Africa and parts of the Middle East and North Africa, though not in every language, and each country's Google returns the boards and career sites that serve it. A work from home filter collects remote roles whatever wording the ad uses.
Get a Quote
Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Google Jobs is the closest thing to a cross-board view of a labour market: ads from employer career sites and many job boards in one result list, already grouped per job. That makes it useful in ways a single board is not.
Learn how to use web scraping to solve data problems for your organization
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
If you specialize in machine learning, you need to feed large amounts of data to the algorithms. Web scraping is the easiest and the most efficient method of collecting the data from all over the Internet.
ScrapeIt runs scraping as a service: we design, operate and maintain the crawlers, and you receive the data. Job listings suit this model because they change daily - a listing expires, reappears under another source or changes its salary line - and a collector left alone drifts. We keep the history straight and the schema stable. Plans start from EUR 169 a month, or EUR 199 for a one-time extract, and a free project assessment comes first.
Yes. The ScrapeIt Google Jobs API returns job title, employer, location, job type, salary where shown and every Apply on link as JSON from an endpoint we host, refreshed on the schedule you set. Queries and places are configured with us once. The same records also come as CSV or Excel files, a JSON feed or a direct load into your database.
Yes. Google Jobs shows job ads that employers and boards have published for anyone to read, inside ordinary Google Search results. We collect only publicly available data - everything a visitor can see on Google Jobs - and we collect it legally. Personal details found in ad text are left out by default.
Yes. The jobs experience runs across Europe, Asia, Latin America, North America, Sub-Saharan Africa and much of the Middle East and North Africa, though not in every language. We run each country through its own Google domain and language, so a German search returns listings from the boards and career sites that serve Germany.
Yes, by repeating the same query matrix on a schedule. Each run turns the posting age into a date, so the database shows when a job first appeared, which Apply on sources were added later and when it disappeared after the employer closed it. A daily schedule catches postings that stay up only a few days.
Google already groups many copies of an ad into one listing and shows the boards under Apply on; we keep that grouping and store every source with its link. Where duplicates still appear, under different titles or places, we merge the rows on employer, title, location and apply links and record which searches found them.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Google Jobs data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
KRS: 0000996672
NIP: 5423457175
REGON: 523384582
