> ## Documentation Index > Fetch the complete documentation index at: https://rocketyard.dev/llms.txt > Use this file to discover all available pages before exploring further. > ## Agent Instructions > These Actors run on the Apify platform and charge per result. Call one with POST https://api.apify.com/v2/acts/rocketyard~/run-sync-get-dataset-items and the header Authorization: Bearer , or connect Apify's MCP server at https://mcp.apify.com?tools=rocketyard/. # Export all open jobs from a Greenhouse board to CSV or JSON > Three ways to export every open job from a Greenhouse job board to CSV or JSON: the free API with curl and jq, a REST call, or no code at all. Every company on Greenhouse has a public job board, and Greenhouse publishes the same list through a free job board API. Here are three ways to get all open jobs into a file, from the most work to the least. The `curl` and `jq` commands were run as written on 2026-11-05 against Discord's board, which had 27 open jobs that day. | | Free API with curl and jq | Greenhouse Jobs API & Scraper over REST | Greenhouse Jobs API & Scraper without code | | - | - | - | - | | **Cost** | Free | \$1.00 per 1,000 jobs | \$1.00 per 1,000 jobs | | **You need** | curl, jq and somewhere to run them | An Apify API token | An Apify account | | **Several boards at once** | Write a loop | Built in | Built in | | **Salary columns and plain-text descriptions** | Write the mapping | Included | Included | ## Find the board name Open the company's careers page and click a job. If the address starts with `job-boards.greenhouse.io/discord` or `boards.greenhouse.io/discord`, then `discord` is the board name. If the careers page stays on the company's own domain, look for `gh_jid=` in the job's address, or for `boards.greenhouse.io/embed/job_board?for=discord` in the page source. To test a name, this prints `200` for a real board and `404` otherwise: ```bash theme={null} curl -s -o /dev/null -w "%{http_code}\n" "https://boards-api.greenhouse.io/v1/boards/discord/jobs" ``` ## Option 1: the free Greenhouse job board API No key or account is needed. This saves the full response as JSON and prints how many jobs it holds: ```bash theme={null} curl -s "https://boards-api.greenhouse.io/v1/boards/discord/jobs?content=true&pay_transparency=true" -o discord.json jq '.meta.total' discord.json ``` This turns it into a CSV with one row per job: ```bash theme={null} jq -r '["id","title","location","department","updated_at","url"], (.jobs[] | [.id, .title, .location.name, ([.departments[].name] | join("; ")), .updated_at, .absolute_url]) | @csv' discord.json > discord.csv ``` For one board you read once, that may be all you need. The raw response leaves the rest to you: * **Parameters decide what you get.** Without `content=true` there are no descriptions or departments. Without `pay_transparency=true` there are no pay ranges. * **Pay ranges are in cents**: `min_cents` of `20000000` is \$200,000, under `pay_input_ranges`. * **Descriptions are escaped HTML** (`<p>`), so they need decoding and stripping before they are readable. * **One board per request**, so several companies mean a loop, retries and handling for boards that don't exist. ## Option 2: one REST call, several boards [Greenhouse Jobs API & Scraper](https://rocketyard.dev/greenhouse-jobs-scraper.md) works as a Greenhouse jobs API. One request runs it, waits and returns the file: ```bash theme={null} curl -s -X POST "https://api.apify.com/v2/acts/rocketyard~greenhouse-jobs-scraper/run-sync-get-dataset-items?format=csv" \ -H "Authorization: Bearer $APIFY_TOKEN" \ -H 'content-type: application/json' \ -d '{"companies":["discord","figma"]}' \ -o jobs.csv ``` * Use `format=json` or `format=xlsx` for JSON or Excel. * Add `&fields=title,company,location,salaryMin,salaryMax,salaryCurrency,url` to keep only those columns. * Add `"keyword":"engineer"` or `"location":"London"` to the input to keep only matching jobs. Jobs you filter out aren't charged. * A name without a public board adds one free error item to the results and the other boards carry on. * The request waits up to 300 seconds. For larger runs, start the run with `POST /runs` and read the dataset when it finishes. Records carry salary as `salaryMin`, `salaryMax`, `salaryCurrency` and `salaryUnit`, and the description as plain text. The same fields come back from the [Lever](https://rocketyard.dev/lever-jobs-scraper.md) and [Ashby](https://rocketyard.dev/ashby-jobs-scraper.md) Actors. [Which fields each platform fills](https://rocketyard.dev/greenhouse-vs-lever-vs-ashby-job-board-api.md). ## Option 3: no code 1. Open [Greenhouse Jobs API & Scraper on Apify](https://apify.com/rocketyard/greenhouse-jobs-scraper) and click **Try for free**. 2. Add `discord` to **Job board names**, or paste the board's address into **Job board URLs**. 3. Click **Start**. 4. When the run finishes, export the results as CSV, Excel or JSON from the run's output. ## What it costs The API is free. The Actor charges $1.00 per 1,000 jobs plus a small start fee per run, with no subscription. At that price, exporting Discord's 27 jobs costs $0.03 and Databricks's 926 jobs cost $0.93. Apify's Free plan includes $5 of usage a month, with no credit card. > [card] [Run Greenhouse Jobs API & Scraper on Apify](https://apify.com/rocketyard/greenhouse-jobs-scraper) > > \$1.00 per 1,000 jobs, no subscription. You run it with your own Apify account. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.