Indeed Salaries Scraper — Pay by Company & Role, No API Key
Pricing
$7.00 / 1,000 salary records
Indeed Salaries Scraper — Pay by Company & Role, No API Key
Scrape Indeed salary data by company and job title as clean JSON. Get median pay, salaryAmount, pay period, and report counts per role. No API key, no login, bulk input, pay per result.
Pricing
$7.00 / 1,000 salary records
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Developer
Jaime Martinez
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2 days ago
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Indeed Salaries Scraper (No API Key)
Scrape Indeed salary data by company and job title as clean, structured JSON — no API key, no login. Point this Indeed salaries scraper at any company's Indeed salaries page and it returns the median pay per role: jobTitle, salaryDisplay, parsed salaryAmount, salaryType (yearly/hourly), reportedSalaryCount, currency, and a salaryUrl. Built for developers, data analysts, recruiters, compensation and market-research teams, and AI/RAG pipelines that need bulk salary benchmarks. No API key, no login, bulk company input, pay per result.
Reliability comes from Chrome TLS impersonation (curl_cffi) plus residential US proxies with per-request session rotation to clear Indeed's anti-bot walls and read Indeed's own server-embedded structured salary data.
What you get
Each row is one job title's salary aggregate for a company:
| Field | Description |
|---|---|
company | Company slug the salaries belong to |
jobTitle | The role / job title |
salaryDisplay | Salary as shown on Indeed, e.g. $150,849 |
salaryAmount | Parsed numeric amount |
salaryType | Pay period (e.g. YEARLY / HOURLY) |
reportedSalaryCount | How many reported salaries the figure is based on |
currency | Currency code (defaults to USD) |
salaryUrl | Link to the role's salary detail on Indeed |
Use cases
- Compensation benchmarking — compare median pay by role across a set of companies to size offers and pay bands.
- Competitor and employer monitoring — track salary ranges at competitors to inform hiring and retention strategy.
- Salary and labor-market research — build datasets of pay by job title and company for analysis and reporting.
- Recruiter sourcing intelligence — arm recruiters with real pay expectations by role before outreach.
- LLM / RAG feed — pipe structured salary aggregates into vector stores so AI agents can answer "what does role X pay at company Y?"
- Dataset building — assemble a reusable salary corpus by role and company for BI dashboards or spreadsheets.
Input
| Param | Type | Description |
|---|---|---|
startUrls | array | One or more Indeed company salary pages. Prefill: https://www.indeed.com/cmp/Amazon.com/salaries |
companies | array | Alternative to startUrls: plain Indeed company slugs, e.g. Amazon.com |
maxSalaries | integer | Max salary rows per company. Default 500, max 10000 |
Example:
{"startUrls": [{ "url": "https://www.indeed.com/cmp/Amazon.com/salaries" }],"companies": ["Google", "Microsoft"],"maxSalaries": 500}
Pricing
Pay per salary row delivered. No subscription — you only pay for the rows you receive.
If this Indeed salaries scraper saves you time, a quick review on the Apify Store is genuinely appreciated and helps others find it.