Totaljobs sorts its advertisers into direct employers and agencies and prints pay exactly as the advertiser typed it. Our Totaljobs scraper keeps both in each row.
Plans from €169/month · Free project assessment · Reply within 1 business day
You choose the scope: job titles, sectors, towns with a radius, a list of companies, or a sweep of the whole UK board. We build the crawler for totaljobs.com, schedule it and repair it when the site ships a new layout. Rendering, pacing, proxy rotation and CAPTCHA handling are included in the service.
Pay arrives the way advertisers write it - per annum, per day, per hour, Negotiable, a bare figure followed by Annual, or a range followed by a list of perks - so we keep the original line and add parsed minimum, maximum, currency and period columns. A free project assessment comes first, and a sample shows the columns before any plan.
A Totaljobs ad address ends in the word job and a nine-digit number, and the company link carries its own cmpId. Those two ids anchor the dataset; everything else comes from the results card and the ad page:
Recruitment agencies post many of the ads, so the advertiser is often not the company that will employ the hire. Agency names are business data and stay in; consultants' own names and direct numbers inside ad text are personal data and are dropped by default.
Totaljobs organises listings by job title, sector and place, and its addresses follow suit - data analyst jobs in London, warehouse operative jobs in Manchester, one page per sector from Accountancy to Utilities. A search narrows by date posted, work from home options, job type, type of company, skills, and commute time by walking, cycling, car or public transport, and sorts by published date, relevance, salary or distance. We build the slice plan from those filters and merge on the job id.
The foot of a title-and-place search carries a panel worth keeping: the average salary per year for that role in that place with its range, the number of matching jobs, similar titles, the skills Totaljobs rates useful, the industry the role belongs to, and how many of the jobs are temporary or part-time. Captured on every run, it becomes a pay benchmark series per title and town.
Repeated runs add the rest of the history: first appearance, how long an ad stayed live, and when the same role was posted again. Agencies sometimes list one vacancy several times with identical title, postcode and pay, so we mark duplicates instead of counting them as separate jobs.
Totaljobs describes itself as one of the UK's largest online recruitment platforms. The site is operated by The Stepstone Group UK Limited and has offices in Glasgow, London, Manchester and Portsmouth. It covers every sector, from warehouse shifts paid by the hour to day-rate contracts in the City. The brand is one word, though many people type it as two; a total jobs scraper and a Totaljobs scraper are the same project here.
An ad page opens with the title, advertiser, location, a line such as Permanent Contract; On-site, the Published age and the salary line, then the description. Below it sits a company card with the advertiser's sector and its count of live jobs, followed by similar jobs popular with other job seekers and links to related titles and sectors in the same town.
Search comes in two forms: Classic search with a job title and a location, and Search in your words, which takes a plain-language description. Location pages run from Aberdeen to Yorkshire, and a Salary Planner and career advice sit beside the listings.
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Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Totaljobs shows a salary line on many ads and separates direct employers from agencies, two things a UK labour-market analyst otherwise rebuilds by hand. Scrape Totaljobs salaries by title and town and the result is a pay distribution, not an anecdote.
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 builds and runs data collection for teams that would rather not maintain crawlers. On UK job boards that means sorting out pay written in many formats, agency reposts and postcode areas in brackets before the file reaches you. Deliveries follow the schedule you set - daily for demand tracking, weekly for benchmarks - as CSV, Excel or JSON, through our API or into Amazon S3, with field documentation included and personal data handled under GDPR.
Yes. The ScrapeIt Totaljobs API returns job id, title, company, the Direct Employer or Agency type, location with postcode area, salary as printed with parsed figures, and publication date as JSON from an endpoint we host, refreshed on the schedule you set. The same data also comes as CSV or XLSX files, as a JSON feed, or dropped into Amazon S3 or your own database.
Yes. Result cards, full ad pages, company job lists and the salary panels on search pages are open to anyone without an account. We collect only publicly available data - everything a visitor can see on Totaljobs - and we collect it legally.
Yes. Totaljobs files each advertiser as a Direct Employer or an Agency, and its type of company filter exposes that split. We store it as a column, so you can drop agency ads, study them alone or compare pay between the two groups.
We keep the original salary line and parse it into minimum, maximum, currency and period - per annum, per day or per hour. Lines such as Negotiable stay as text with empty figures, and allowances or perks written after the figure go into a separate column.
Searches can narrow to the last 24 hours, and cards show ages from hours to weeks. Daily runs pick up new ads on their first day; weekly runs are enough for salary panels and employer tables. Each run is timestamped, so expired ads drop out cleanly.
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.
Totaljobs data from €169/month. Free project assessment, reply within 1 business day.
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