git:20261102.565694d to git:20261104.94103e0
55 added, 46 removed. Audit A to A.
---
name: indeed-global-job-scraper-with-company-salary-reports
- description: "Use the Indeed Global Job Scraper with Company Salary Reports actor to pull jobs from Indeed and return title, company, location, salary, posted date, URL. Use when the user needs a hiring list, a salary dataset, or a market map without maintaining a scraper."
+ description: "Search Indeed jobs across 62 countries by keyword, location, or filters for job type, remote status, experience, education, and salary. Returns full descriptions, structured salaries, and each employer's ratings and salary-by-title reports. Output fields: positionName, displayTitle, company, rating, salary and more, as JSON rows. Use when the user asks for Indeed job scraper with salaries, job postings export, salary data by title, or a CSV/JSON export of public Indeed data."
---
# Indeed Global Job Scraper with Company Salary Reports
- Pull **jobs** from **Indeed** with the public Scraper Finder actor.
+ Search Indeed jobs across 62 countries by keyword, location, or filters for job type, remote status, experience, education, and salary. Returns full descriptions, structured salaries, and each employer's ratings and salary-by-title reports.
- - Actor: https://apify.com/nimbryxo-studio/indeed-global-job-scraper-with-company-salary
- - Actor ID: `nimbryxo-studio~indeed-global-job-scraper-with-company-salary`
- - n8n workflow: https://github.com/bolvein-firex/scraping-n8n-workflows/blob/main/workflows/indeed-global-job-scraper-with-company-salary-reports.json
+ - Actor: https://apify.com/nimbryxo-studio/indeed-global-job-scraper-with-company-salary (ID `nimbryxo-studio~indeed-global-job-scraper-with-company-salary`)
+ - n8n workflow for the same Actor: https://github.com/bolvein-firex/scraping-n8n-workflows/blob/main/docs/indeed-global-job-scraper-with-company-salary-reports.md
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
+ - Output fields: `references/output-fields.json`
+ Short video breakdown:
+ - [The salary data is already public](https://www.youtube.com/shorts/33f3pNEO6Oc)
+
## When to use
Use this skill when the user wants:
- - a structured export of jobs from Indeed
- - a repeatable dataset instead of manual copy-paste
- - a CSV/JSON output for a CRM, sheet, dashboard, or agent
- - a scheduled refresh of public data
+ - Indeed job scraper with salaries
+ - job postings export
+ - salary data by title
+ - a repeatable export of public Indeed data as CSV or JSON
- Do not use it for private, login-protected, or paywalled data.
+ Do not use it for private, login-protected or paywalled data.
## What it returns
- - title
- - company
- - location
- - salary
- - posted date
- - URL
+ One JSON row per result. Columns from the Actor's dataset schema:
+ - `positionName`: Job title
+ - `displayTitle`: Display title
+ - `company`: Company
+ - `rating`: Rating
+ - `location`: Location
+ - `salary`: Salary
+ - `jobType`: Job type
+ - `remoteWorkType`: Workplace
+ - `postedAt`: Posted
+ - `isRepost`: Repost
+ - `isSponsored`: Sponsored
+ - `easyApply`: Easy apply
+ - `url`: Indeed link
+
+ All 42 declared fields: `references/output-fields.json`.
+
## Inputs
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
- | `position` | string | no | | Job title, skill or keywords, e.g. `web developer`, `nurse`. Search one company's jobs with `company:Amazon`, titles only with `title:(data analyst)`; quotes, OR and -exclusions wo |
+ | `position` | string | no | | Job title, skill or keywords, e.g. `web developer`, `nurse`. Search one company's jobs with `company:Amazon`, titles only with `title:(data analyst)`; quotes, OR and -exclusions… |
| `location` | string | no | | City, region or postal code, e.g. `San Francisco`, `Austin, TX`, `10001`, `London`. Leave empty to search the whole country. |
- | `company` | string | no | | Only jobs from one employer, e.g. `Amazon`, `Visa`, `DocuSign`. The name is resolved to Indeed's employer key so the company filter is applied by Indeed itself, then verified per j |
- | `locationShards` | array | no | | Optional list of extra locations to search separately with the same keywords and filters, e.g. `New York, NY`, `Chicago, IL`, `Remote`. Deduplication removes jobs found by more tha |
+ | `company` | string | no | | Only jobs from one employer, e.g. `Amazon`, `Visa`, `DocuSign`. The name is resolved to Indeed's employer key so the company filter is applied by Indeed itself, then verified per… |
+ | `locationShards` | array | no | | Optional list of extra locations to search separately with the same keywords and filters, e.g. `New York, NY`, `Chicago, IL`, `Remote`. |
| `country` | string | no | US | Indeed country site to search. Results come in the site's language and salaries in its currency. |
- | `maxItemsPerSearch` | integer | no | 100 | Maximum number of jobs to save for each search (the keyword search and each search URL). Indeed's cursor stops at roughly 1,000 fetched rows, including duplicates; use `locationSha |
+ | `maxItemsPerSearch` | integer | no | 100 | Maximum number of jobs to save for each search (the keyword search and each search URL). Indeed's cursor stops at roughly 1,000 fetched rows, including duplicates; use… |
| `maxItems` | integer | no | | Optional hard cap across every search and pasted job URL. The run stops as soon as this many jobs are saved. Leave empty for no global cap. |
| `shardByDate` | boolean | no | false | Run each keyword search five times, for the last 1, 3, 7, 14 and 30 days, and remove duplicates. Useful for freshness coverage when you need more than one cursor walk per search. |
| `jobType` | string | no | | Employment type. |
| `workplaceType` | string | no | | Where the work happens. |
| `datePosted` | string | no | | Only jobs added to Indeed within this period. |
| `experienceLevel` | string | no | | Required experience level. |
| `educationLevel` | string | no | | Required education. |
- | `salaryMin` | integer | no | | Only jobs whose salary range reaches at least this yearly amount, in the country's currency (hourly and monthly pay is converted to yearly). Jobs without any salary information are |
+ | `salaryMin` | integer | no | | Only jobs whose salary range reaches at least this yearly amount, in the country's currency (hourly and monthly pay is converted to yearly). |
+ 9 more optional fields on the Actor's Input tab.
+
Example:
```json
{
"searchQueries": [
"account executive"
],
"location": "United States",
"maxItems": 1000,
"includeSalary": true
}
```
## Run it
- Set `APIFY_TOKEN` in your environment, then call the synchronous endpoint for small and medium runs:
+ Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):
```bash
- curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~indeed-global-job-scraper-with-company-salary/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
+ curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~indeed-global-job-scraper-with-company-salary/run-sync-get-dataset-items" \
+ -H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
- -d @references/example-input.json
+ -d @references/example-input.json > output.json
```
- For large runs, start an async run and read the dataset:
+ Or with Node 18+: `node scripts/run.mjs [input.json]`.
- ```bash
- RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~indeed-global-job-scraper-with-company-salary/runs?token=$APIFY_TOKEN" \
- -H "Content-Type: application/json" \
- -d @references/example-input.json | jq -r '.data.id')
+ For large runs, start an async run and read its dataset when it finishes:
- curl -s "https://api.apify.com/v2/actor-runs/$RUN?token=$APIFY_TOKEN" | jq '.data.status'
- curl -s "https://api.apify.com/v2/datasets/$(curl -s "https://api.apify.com/v2/actor-runs/$RUN?token=$APIFY_TOKEN" | jq -r '.data.defaultDatasetId')/items?token=$APIFY_TOKEN&format=json" > output.json
+ ```bash
+ RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~indeed-global-job-scraper-with-company-salary/runs" \
+ -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
+ -d @references/example-input.json)
+ RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
+ curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
+ curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```
- Or import the n8n workflow: https://github.com/bolvein-firex/scraping-n8n-workflows/blob/main/workflows/indeed-global-job-scraper-with-company-salary-reports.json
-
## Cost and limits
- - Billing is per Apify actor run and per dataset item. Check the actor page for current pricing.
- - `run-sync-get-dataset-items` has a request timeout. Use the async pattern for large jobs.
- - Respect rate limits and the target site's terms.
+ - Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
+ - Keep the limit in the input small for a first run.
## Guardrails
- - Public data only. Do not use cookies, sessions, or private account data.
- - Do not use the output for spam, harassment, or unlawful discrimination.
- - Verify local law and the target site's terms before running at scale.
- - Demo rows in the Scraper Finder video are illustrative.
-
- ## Files
-
- - `scripts/run.mjs` - minimal Node runner using `APIFY_TOKEN`
- - `references/input-schema.json` - full actor input schema
- - `references/example-input.json` - starter input
+ - Public data only. Do not pass cookies, sessions or private account data.
+ - Do not use the output for spam, harassment or unlawful discrimination.
+ - Check the target site's terms and local law before running at scale.