Learning teams
Program planning
Favorable to scraping
Compare Coursera courses by provider, level, rating, duration, and certificate language before shortlisting content for employee learning paths.
Education$50Free
Coursera Scraper for Course Listings
This Coursera scraper turns Coursera keyword search listings into a structured CSV export for course research, curriculum mapping, and competitor analysis. Import the template into the UScraper local desktop app, run the prebuilt pagination loop, and collect educator, course, skills text, rating, review count, level, duration, certificate wording, product type, and course URL.
Output
CSV file
Columns
10
Pages
1-20
Waits
Built in
Template
Free
At a glance
Export Coursera courses to CSV
The workflow ships with Coursera search URLs for the Python query from page 1 through page 20. UScraper navigates each URL, waits for the page to load, attempts a small consent-button helper, pauses briefly, waits for course-listing elements, then runs Structured Export against each visible card.
This is a search-listing scraper, not an enrollment, content-download, or learner-account automation. It is meant for teams that need a reviewable spreadsheet of public course catalog results: which institutions appear, what courses are listed, how ratings and review counts compare, and which course URLs should be inspected next.
Coursera to CSV without code
Export listing fields into a spreadsheet-friendly file instead of copying course cards by hand or maintaining a custom browser script.
Paginated URL loop
The Navigate block uses predictable page= URLs and Loop
Continue, because live pagination controls were not reliable during template
testing.
Course research fields
Capture course title, educator, skills or description text, level, duration, product type, certificate wording, rating, review count, and URL.
Local desktop workflow
The browser run and resulting CSV stay in the save location you configure unless you add separate sharing or upload steps.
Who this is for
Teams that collect Coursera course listings
Edtech researchers
Catalog analysis
Favorable to scraping
Build a repeatable Coursera course scraper run for topic areas such as Python, data science, product management, or UI, then analyze the CSV by provider and course type.
Agencies and analysts
Market scans
Favorable to scraping
Download Coursera results for approved queries, join course URLs with manual review notes, and hand clients a clean export instead of screenshots.
How to use
Run the Coursera listing scraper
1
Download and import
Download the hosted JSON template from this page, import it into UScraper, and open the workflow graph before the first run.
2
Change the Coursera query
Replace the sample Python URLs in Navigate with your own Coursera search query and page range. Start with one or two pages to validate the export.
3
Review waits and page handling
Keep the page-load wait, consent helper, short sleep, and element wait in place so dynamic course cards have time to render.
4
Choose the CSV folder
Structured Export writes coursera-listados-scraper.csv with
headers and append mode. Update the save location for your project
workspace.
5
Run and inspect
Run the loop, open the CSV, check blank cells or duplicate rows, and verify a small sample against Coursera before using the data downstream.
Automation path inside the template
- 1
Navigate
Open each Coursera search URL from the configured
urlslist. - 2
Wait and settle
Wait for page load, attempt common consent controls, sleep briefly, then wait for course listing elements.
- 3
Structured export
Append visible course-card fields into one CSV using the configured row selector and column extractors.
- 4
Loop continue
Move to the next search result URL until the page list is complete.
Output preview
What the Coursera data extractor exports
The export is built for course-listing analysis. It captures the information most teams need before deciding which course detail pages deserve manual review, deeper scraping, or direct Coursera evaluation.
| educador | curso | rating | resena | nivel | tipo_de_producto | duracion | certificado | course_url |
|---|---|---|---|---|---|---|---|---|
| University of Michigan | Python for Everybody | 4.8 | 230K reviews | Beginner | Specialization | 3 Months | Earn a certificate | https://www.coursera.org/specializations/python |
| Google Data Analytics | 4.8 | 180K reviews | Beginner | Professional Certificate | 6 Months | Earn a career certificate | https://www.coursera.org/professional-certificates/google-data-analytics | |
| IBM | Python for Data Science, AI and Development | 4.6 | 35K reviews | Beginner | Course | 18 Hours | Shareable Certificate | https://www.coursera.org/learn/python-for-applied-data-science-ai |
coursera-listados-scraper.csvColumn
educador
Course provider, university, company, or educator text from the listing card.
Column
curso
Course, specialization, certificate, or project title.
Column
descripcion
Skills or description text visible in the search result card.
Column
rating
Displayed rating value when Coursera exposes one.
Column
resena
Review count such as 12K reviews or 850 reviews.
Column
nivel
Beginner, Intermediate, Advanced, or Mixed level text.
Column
tipo_de_producto
Course, Specialization, Professional Certificate, Guided Project, or similar type.
Column
duracion
Estimated duration shown on the listing.
Column
certificado
Certificate or degree-progress wording when present.
Column
course_url
Resolved Coursera URL for the course or program.
Sample rows
2 of many
| educador | curso | descripcion | rating | resena | nivel | tipo_de_producto | duracion | certificado | course_url |
|---|---|---|---|---|---|---|---|---|---|
| University of Michigan | Python for Everybody | 4.8 | 230K reviews | Beginner | Specialization | 3 Months | Earn a certificate | ||
| IBM | 4.6 | 35K reviews | Beginner | Course | 18 Hours | Shareable Certificate |
Headers included - each configured search page appends rows
Frequently asked questions
Coursera pages can be publicly visible, but automated collection may still be limited by Coursera terms, robots rules, copyright, database rights, privacy law, or your own contracts. Use low volume, avoid bypassing CAPTCHA or access controls, and get legal review before republishing or selling a dataset.
Before you scale
Practical limits for Coursera scraping
Guardrails for reliable Coursera exports
Rate limits
Coursera may slow, challenge, or block automated traffic
Keep batches modest, avoid parallel browser runs, and treat CAPTCHA or verification prompts as a stop sign for unattended automation.
Layout drift
Dynamic search cards can change
Missing educator, rating, or duration fields usually mean Coursera changed the card markup or returned a different layout. Re-test one page before expanding a batch.
Compliance
Course catalog data still needs responsible use
Review Coursera policies and applicable law before republishing, enriching, or reselling the exported dataset.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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