BLS Occupation Projections Scraper

BLS Occupation Projections Scraper

Scrape BLS occupation projections for any SOC level, filtered by wage and growth, up to a million rows per run. Each projection includes median wage, employment change, and job outlook. No API key. Export to CSV, JSON, Excel, or XML.

The Bureau of Labor Statistics publishes 10-year employment projections for every occupation, but the data sits in HTML tables and downloadable files that are hard to query. This Actor reads the public projections directly, filters by occupation type, minimum median wage, and minimum employment change, and returns each match as one flat row.

Who uses it	What they scrape BLS Occupation Projections for
Labor market analysts	Which occupations will add the most jobs in the next decade
Workforce planners	Which occupations in a region are projected to grow fastest
Career counselors	Which occupations pay above a given wage and are growing
Policy researchers	How employment projections differ across SOC levels
Job board operators	Which occupations to feature based on projected demand

What it does

This Actor collects BLS occupation projections by SOC hierarchy level and optional wage and growth filters, and returns each projection as a flat row.

• 📊 Projection rows: median annual wage, employment change percent, and numeric change for 2024-2034.
• 🔎 SOC level filter: Summary, Major, Minor, Broad, Detailed, or Line item.
• 💰 Wage floor: skip occupations below a minimum median annual wage.
• 📈 Growth floor: skip occupations below a minimum employment change percent.
• 📦 Bulk export: collect up to 1,000,000 projections per run.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with BLS Occupation Projections data

📈 Track fastest-growing occupations.

A workforce board sets minEmploymentChangePercent to 20 and collects detailed occupations to publish a local hot jobs list.

💰 Find high-wage, high-growth roles.

A career counselor sets minMedianWage to 80000 and minEmploymentChangePercent to 10 to build a list of promising careers for students.

🏛️ Compare SOC levels for policy.

A state labor department collects Major and Detailed projections to see how broad trends break down into specific occupations.

📊 Feed a job board with demand data.

A job platform collects all Detailed projections above a wage floor and joins them to posted jobs to show projected growth.

🧪 Build a research dataset.

An economist collects all Line item projections for 2024-2034 to run regressions on wage and employment change.

Why choose this scraper

	What you get
No API key	Reads the public BLS projection tables directly, no registration or token.
One fixed schema	Every projection returns the same flat fields, ready for analysis.
Filter before export	Wage and growth floors cut noise before it reaches your dataset.
Any SOC level	From broad summary groups down to detailed line items.

How it compares

No other Store actor targets BLS Occupation Projections the same way, so the honest comparison is with the alternatives teams actually weigh.

	BLS Occupation Projections Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When BLS Occupation Projections 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 occupation type, minimum median wage, and minimum employment change percent, alone or together, and filters run as each projection is read so only matches reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10
}

A larger pull:

{
  "maxItems": 200
}

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

1. Create a free Apify account with $5 in credit.
2. Open the BLS Occupation Projections Scraper.
3. Set your inputs and any filters, then click Start.
4. 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 BLS Occupation Projections through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/bls-occupation-projections-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check your filters. If minMedianWage or minEmploymentChangePercent is set too high, all occupations may be skipped. Try lowering the thresholds or leaving them blank.

Why did the run stop before reaching maxItems?

The Actor stops when it has read all projections that match your filters. If fewer than maxItems exist, you will get all of them.

Why are some occupations missing?

The BLS publishes projections only for occupations with sufficient data. Some detailed occupations may not have a projection for every field.

Can I filter by a specific SOC code?

Not directly. Use occupationType to narrow the level, then filter the output by SOC code in your own processing.

Why is the median wage different from another source?

The BLS updates wage data periodically. The Actor returns the value currently published in the projection tables.

FAQ

Question	Answer
What is the source of this data?	The U.S. Bureau of Labor Statistics Employment Projections program, which publishes 10-year projections for occupations by SOC code.
What years do the projections cover?	The current release covers 2024 to 2034. The Actor returns the projected employment change over that period.
Can I filter by occupation type?	Yes. Use the occupationType input to select Summary, Major, Minor, Broad, Detailed, or Line item, or leave it blank for all levels.
How do I filter by wage?	Set minMedianWage to the minimum annual median wage in USD. Occupations below that value are skipped.
How do I filter by growth?	Set minEmploymentChangePercent to the minimum projected employment change percent. Occupations growing slower are skipped.
What is the maximum number of projections I can collect?	Up to 1,000,000 per run, controlled by the maxItems input.
Do I need an API key?	No. The Actor reads the public BLS projection tables directly.
What format is the output?	Each projection is a flat row with fields like occupation title, SOC code, median wage, and employment change. You can export to CSV, JSON, Excel, or XML.
Can I get projections for a specific occupation?	The Actor does not filter by occupation title or SOC code directly. Use occupationType to narrow the level, then filter the results in your dataset.
How often is the data updated?	The Actor reads the live BLS tables, so it reflects the latest published projections whenever you run it.

Related actors

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 U.S. Bureau of Labor Statistics. 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.