Teal Job Board Scraper
Pricing
from $19.00 / 1,000 results
Teal Job Board Scraper
Scrapes Teal job board listings by title, skill, level, location, or workplace type. Returns each job as a flat row with title, company, location, salary, and description.
Pricing
from $19.00 / 1,000 results
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0.0
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Developer
ParseForge
Maintained by CommunityActor stats
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1
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Monthly active users
7 days ago
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Teal Job Board Scraper
Scrape Teal job board listings by title, skill, level, location, or workplace type. Each job comes with its title, company, location, salary, and full description. No login or API key. Export to CSV, JSON, Excel, or XML.
Teal's job board aggregates openings from thousands of company career pages, but browsing it manually means clicking through endless filters and pagination. This Actor reads the public job listings directly, filtered by job title, skill, level, location, or workplace type, and returns each match in one fixed schema.
| Who uses it | What they scrape Teal for |
|---|---|
| Job seekers | Find open roles that match their exact title, skill, or location in one export |
| Recruiters | Monitor competitor job postings for salary and skill trends |
| Market researchers | Track which companies are hiring for specific roles and where |
| Data analysts | Build a clean dataset of job listings for labor market analysis |
What it does
This Actor collects Teal job board listings by browsing category and slug, and returns each job as a flat row.
- 🔍 Browse by title: scrape every job for a role like software-engineer or product-manager.
- 🛠️ Browse by skill: collect listings that require a specific skill like react or python.
- 📊 Browse by level: filter by seniority, from intern to director.
- 📍 Browse by location: target jobs in a city, state, or country.
- 🏢 Browse by workplace type: get remote, hybrid, or on-site roles only.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Teal data
📈 Track hiring trends by skill.
A market researcher scrapes all listings for 'python' weekly and charts which companies are hiring and what salaries they offer.
🎯 Build a personal job pipeline.
A job seeker scrapes every 'product-manager' role in their city, exports to CSV, and filters by salary and company in a spreadsheet.
🏢 Monitor competitor openings.
A recruiter scrapes listings for 'senior-engineer' at remote workplaces to see which competitors are expanding and what they pay.
📊 Analyze remote work availability.
A data analyst scrapes all 'remote' workplace listings and joins them with company data to report on remote hiring by industry.
Why choose this scraper
| What you get | |
|---|---|
| No API key | Reads the public job board directly, no registration or OAuth |
| One fixed schema | Every job returns the same flat fields, ready for analysis |
| Up to a million rows | Set maxItems as high as 1,000,000 for large-scale collection |
| Flexible browsing | Choose from title, skill, level, location, or workplace type |
How it compares
No other Store actor targets Teal the same way, so the honest comparison is with the alternatives teams actually weigh.
| Teal Job Board Scraper | Build it in-house | By hand | |
|---|---|---|---|
| Setup | Run it now, zero config | Days of engineering | None, but hours per pull |
| When Teal changes | Maintained for you | You fix it | You re-learn the page |
| Proxies, retries, anti-bot | Built in | Your problem | Browser only |
| Output | Fixed JSON schema, CSV/Excel export | Whatever you build | Copy-paste |
| Cost | Pay per result | Engineering time | Analyst hours |
Configure the run
Drive the Actor from a browse category and a slug, and set a maximum number of jobs to collect per run. The Input tab lists every parameter.
A first run with the defaults:
A larger pull:
Pricing
Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $2.10 |
| 1,000 results | $21.00 |
| 10,000 results | $210.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the Teal Job Board Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to Teal through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that your slug is valid. Go to Teal's job board, browse to the category you want, and copy the slug from the URL. Also ensure maxItems is at least 1.
Why did the run stop before reaching maxItems?
The Actor stops when there are no more jobs to collect for that category. If you expected more, try a broader slug or a different browseBy value.
Can I scrape jobs by company?
The current input schema does not support browsing by company. You can scrape by title, skill, level, location, or workplace type, then filter by company in the exported data.
Why are some fields empty?
Not every job listing includes every field. For example, some companies do not list salary. Empty fields are normal and reflect the source data.
FAQ
| Question | Answer |
|---|---|
| What is Teal? | Teal is a job board that aggregates listings from thousands of company career pages. It lets you browse jobs by title, skill, level, location, and workplace type. |
| Do I need a Teal account or API key? | No. This Actor reads the public job board pages directly, so no login, API key, or OAuth is required. |
| How do I choose which jobs to scrape? | Set the browseBy field to title, skill, level, location, or workplace type, then provide a slug like 'software-engineer' or 'remote'. The Actor will collect all matching jobs up to maxItems. |
| What is a slug? | A slug is the URL-friendly identifier for a category. For example, under /jobs/title/software-engineer, the slug is 'software-engineer'. You can find slugs by browsing Teal's job board and copying the last part of the URL. |
| Can I scrape multiple titles or skills in one run? | Each run handles one browseBy and slug combination. To scrape multiple categories, run the Actor multiple times with different inputs, or use Apify's scheduler to run them in sequence. |
| How many jobs can I collect? | You can set maxItems up to 1,000,000. The Actor will stop after collecting that many jobs, even if more are available. |
| What data does each job include? | Each job returns a flat row with fields like title, company, location, salary, and description. The exact fields are shown in the sample output below. |
| Can I export the data? | Yes. You can export to CSV, JSON, Excel, or XML directly from the Apify dataset. |
| Is this legal? | This Actor only accesses publicly available job listings. You are responsible for complying with Teal's terms of service and any applicable laws in your jurisdiction. |
| How often should I run this? | Job boards change frequently. For monitoring, schedule the Actor to run daily or weekly using Apify's scheduler. |
Related actors
- indeed-scraper: Use this to scrape job listings from Indeed, a different job board with its own search and filters.
- linkedin-jobs-scraper: Use this to scrape job postings from LinkedIn, including company and recruiter details.
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Teal HQ, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
