Education & Research Jobs Scraper · 4 Boards, One Schema avatar

Education & Research Jobs Scraper · 4 Boards, One Schema

Pricing

from $2.40 / 1,000 job postings

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Education & Research Jobs Scraper · 4 Boards, One Schema

Education & Research Jobs Scraper · 4 Boards, One Schema

Teaching jobs and research jobs: education and academic postings from TES, Eteach, jobs.ac.uk (UK) and HigherEdJobs (US) in one run, one schema, deduplicated across sources, no login.

Pricing

from $2.40 / 1,000 job postings

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0.0

(0)

Developer

Vivien MORVAN

Vivien MORVAN

Maintained by Community

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2

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1

Monthly active users

2 days ago

Last modified

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Extract education and research job postings in a single run from TES (UK), Eteach (UK), jobs.ac.uk (UK academic & research) and HigherEdJobs (US) — mapped to one unified schema, deduplicated across sources. No login, no browser to configure.

What you can do with it

  • Search teaching, academic and research jobs across the UK and US in one run, instead of buying and maintaining 4 separate scrapers.
  • Filter once, everywhere: keywords, location, remote and publishedWithinDays apply the same way across all 4 sources.
  • Narrow by country: countries keeps only the boards covering the UK or the US.
  • Monitor new postings daily: schedule it with onlyNew checked and publishedWithinDays: 1 to get, and pay for, only what is new since the last run.

Input

FieldWhat it does
keywordsJob title or subject, for example maths teacher or postdoctoral researcher. Empty means every posting.
locationCity or region, for example London or Boston. Empty means all locations.
countriesWhich countries to cover: GB, US. Defaults to both.
sourcesWhich of the 4 job boards to query in this run. Defaults to all 4.
publishedWithinDaysKeep only postings published in the last N days. Use 1 for a daily monitoring run.
remoteKeep only postings with this remote policy: any, remote, hybrid or onsite.
maxItemsThe run stops once this many postings are saved, across all sources combined (default 50).
includeDescriptionsAdd the job description as plain text (default on).
onlyNewFor scheduled runs: skip postings an earlier run of this same search already delivered.

Output

One record per posting, in the schema shared by every job actor on this account:

FieldTypeMeaning
idstringStable identifier (<source>:<native id>), used to deduplicate between runs.
urlstringPublic page of the posting.
titlestringJob title as published.
companyNamestring or nullEmployer name; null when hidden (then confidentialCompany: true).
companyUrlstring or nullEmployer's own page, when the site discloses one.
locationLabelstring or nullLocation as displayed by the site.
citystring or nullCity.
regionstring or nullRegion, county or state.
postalCodestring or nullPostal code.
countrystringISO 3166-1 alpha-2 country code (GB, US).
remotestringremote, hybrid, onsite or unknown.
employmentTypestringfull_time, part_time, contract, freelance, internship, apprenticeship, temporary or unknown.
salaryMin / salaryMaxnumber or nullSalary range, as numbers.
salaryCurrencystring or nullISO 4217 currency code.
salaryPeriodstring or nullhour, day, month or year.
datePostedstring or nullPublication date, ISO 8601.
validThroughstring or nullExpiry date, ISO 8601.
descriptionstring or nullPlain-text description, only when includeDescriptions is on. No personal data.
experienceLevelstring or nullAs named by the site.
industrystring or nullAs named by the site.
skillsstring[]Skills listed by the site, if any.
sourcestringHost name of the source site.
sourceIdstringNative identifier on the source site.
scrapedAtstringExtraction timestamp, ISO 8601.

Example (real result, trimmed)

{
"id": "tes.com:2342943",
"url": "https://www.tes.com/jobs/vacancy/teaching-assistant-paignton-2342943",
"title": "Teaching Assistant",
"companyName": "Cambian Devon School",
"locationLabel": "Paignton, Devon",
"country": "GB",
"remote": "onsite",
"employmentType": "full_time",
"datePosted": "2026-10-22T23:00:00.000Z",
"source": "tes.com"
}

Why this one

4 education and research boards in one run, one schema, deduplicated across sources by URL and by (title, company, city). source and country on every row to filter or split by board or market. No connection, no login, no browser to configure.

Good to know

  • HigherEdJobs sits behind a bot-challenge wall; this actor climbs through it (including a residential IP) but stays slower than the other 3 boards, so it contributes fewer postings per run.
  • employmentType and remote are read from each site's own fields when it has one, and left unknown rather than guessed when nothing matches.
  • jobs.ac.uk also lists a number of international academic posts (worldwide universities advertising to a UK audience): country stays GB (the board's own country) and the real place is kept in locationLabel.
  • No personal data: contact details of individuals are stripped from descriptions; only institutions and employers are named.

Pricing

Pay per result: $3.00 per 1,000 postings, plus a small start fee. You only pay for the postings you receive, deduplicated across all 4 sources before being counted or charged. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/education-research-jobs-scraper').call({
keywords: 'teacher',
maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient
client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/education-research-jobs-scraper").call(run_input={
"keywords": "teacher",
"maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

  1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
  2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
  3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
  4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy? No. The actor reads publicly visible pages only.

Why does HigherEdJobs return fewer results than the other 3 boards? It sits behind a bot-challenge wall; this actor's retries take longer per page, which limits how many of its postings fit in a single run's time budget.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of each site. How you use the data is your responsibility: check each site's terms and the laws that apply to you, for example the GDPR.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

Who uses it

  • Recruiting agencies and HR teams watch which companies hire, for which roles and at which salary, in their market.
  • Job boards and aggregators feed their own site with fresh postings in a stable schema, without maintaining a parser.
  • B2B sales and lead generation: a company that is hiring is a company that is buying. Filter postings by role to spot prospects early.
  • Labour-market research: salaries, skills in demand, remote share and hiring volume over time.

Pricing

Pay per result: $3.00 per 1,000 postings, plus $0.01 per run start with the default 4 GB of memory. For example, 100 postings cost about $0.31. You only pay for the postings you receive, and platform usage is included in that price. Store discounts apply automatically on paid Apify plans: up to 20% off every event on the higher tiers.

Run it from your code

JavaScript:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('bibian/education-research-jobs-scraper').call({
maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Python:

from apify_client import ApifyClient
client = ApifyClient(token="<APIFY_TOKEN>")
run = client.actor("bibian/education-research-jobs-scraper").call(run_input={
"maxItems": 50
})
items = client.dataset(run["defaultDatasetId"]).list_items().items

Monitor new postings daily and connect your tools

  1. Schedule it. Save a task, set its publication date filter to the shortest window, and schedule it daily with Apify Schedules. Deduplicate on the id field if you keep your own copy. Tick Only new results in the input and each run returns, and charges, only the postings that earlier runs of the same search did not deliver.
  2. Push the results where you work. Add an Apify integration or a webhook to the task: Google Sheets, Slack, Make, Zapier, n8n or your own endpoint, triggered at the end of every run.
  3. Call it from your stack. The API and the JavaScript and Python clients return the dataset as JSON, CSV or Excel.
  4. Let an AI agent use it. Through the Apify MCP server, assistants such as Claude or ChatGPT can search the Store, read this page and run the actor as a tool.

Frequently asked questions

Do I need an account, cookies or a proxy for Education & Research? No. The actor reads publicly visible pages only.

Which formats can I export? JSON, CSV, Excel, XML, HTML table or RSS, from the dataset page or through the API.

Is it legal to scrape? The actor collects publicly visible postings and respects the robots.txt rules of the site. How you use the data is your responsibility: check the site's terms and the laws that apply to you, for example the GDPR.

Need another site, a missing field or a new filter? Open an issue in the Issues tab and say what you need, with an example URL if you have one. Requests are read, and the most asked ones are built next.

Need a custom version built for you? I also build private versions and custom scrapers: another site, extra fields, a specific output format, or delivery straight to Google Sheets, a database or a webhook. Open an issue in the Issues tab with what you need and an example URL, and I will reply there with a quote.

Something does not work? Open an issue in the Issues tab. Every public actor is test-run daily and the broken ones are repaired.

Did this save you time? A short review on the Store page helps other people find the actor, and tells me what to improve next.

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