Indeed: scrapers and the official API, compared

Route map

Each line is one way to get Indeed data; each stop is a field you probably need. Green lines are catalogue Actors, ranked by the published formula.

Which route for which job

The catalogue Actors for Indeed return different records. "Only this route" lists the published fields no other Actor in this table returns, which is usually what decides the choice. Cost is the published per-result rate; start events and platform usage are extra.

Field matrix: who returns what

Every tool with a published output schema, against the 7 fields most Indeed jobs need. A dot means the field name appears in the schema; rows can still leave it empty.

Field dictionary: the exact keys

The same core field has a different key in each Actor's output. Map these before you merge datasets; a dash means the published schema has no matching key. Need a field that is not listed here, such as email? Search every Indeed Actor by field.

Download this comparison: CSV · JSON (every tool with a published schema, matching keys per core field, price and score).

All 11 tools, scored

Catalogue Actors link to their detail pages; the score (0 to 100) is the published formula, identical for every tool. Other Store tools follow in their own table, for reference. Price is the published primary-result rate per 1,000 (the Free-plan rate where the price is tiered; higher Apify plans pay less); start events and platform usage are excluded.

Other Store tools, for reference

Scored with the same published formula and listed for comparison only; this site does not link or recommend them.

What to check before you choose

Hiring teams use Indeed listings to track vacancies by role, employer and location, while pay researchers need enough context to compare advertised compensation. Search collection fits vacancy discovery; salary analysis calls for closer attention to pay source, currency and period.

Indeed's partner APIs serve approved job boards and integrations rather than open general-purpose job search. A Store tool may fit a public listing collection task, but its published schema should determine whether it supports a vacancy feed, compensation research or employer research.

Checklist

• For compensation research, check salarySource alongside salaryText or salary, and look for salaryCurrency and salaryPeriod before comparing amounts.
• For a vacancy feed, verify that jobUrl or url identifies the listing and distinguish it from applyUrl. Check whether isRepost is available if repeated advertisements matter.
• For role classification, confirm that descriptions are included.

Where the data is incomplete

Salary and benefits coverage depends on what the listing exposes and what the tool returns. The salary-focused published schemas include compensation attributes.

Where searchFacetTotal and searchRetrieved are available, inspect their documented meanings before interpreting retrieval coverage.

Official API route

Terms and personal data

Collect public job listings within Indeed's terms and any applicable partner contract, and check reuse permissions before republishing them. This is general information, not legal advice.

Read Indeed's terms. Keep to public data, do not bypass logins or access controls, and check whether personal data is involved before you collect it. The can-I-scrape checklist walks through it.

How to start

1. Review supported searches, output and billing in the Indeed scraper Store listing.
2. Choose a narrow role and location using the documented search controls, then apply a small result limit if the tool supports one.
3. Collect an initial dataset and inspect listing links, employer names, posting dates and salary context before scheduling a broader search.

Call Indeed Job Search Scraper with Salary & Benefits Data from code

The example input uses the Actor's published defaults; set your own Indeed query before you run it. You need an Apify API token.

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "searchQueries": [
        "web developer in San Francisco"
    ],
    "country": "US",
    "location": "San Francisco",
    "radius": 25,
    "radiusUnit": "miles",
    "sort": "relevance",
    "easyApplyOnly": False,
    "maxItems": 3,
    "includeDescriptionHtml": False,
    "includeCompanyRatings": False,
    "includeContacts": False,
    "includeCompanyReviews": False,
    "includeCompanySalaries": False,
    "expandBeyondCeiling": False
}

run = client.actor("vexaloom-labs/indeed-job-search-scraper-with-salary-and-benefits").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "searchQueries": [
        "web developer in San Francisco"
    ],
    "country": "US",
    "location": "San Francisco",
    "radius": 25,
    "radiusUnit": "miles",
    "sort": "relevance",
    "easyApplyOnly": false,
    "maxItems": 3,
    "includeDescriptionHtml": false,
    "includeCompanyRatings": false,
    "includeContacts": false,
    "includeCompanyReviews": false,
    "includeCompanySalaries": false,
    "expandBeyondCeiling": false
};

const run = await client.actor("vexaloom-labs/indeed-job-search-scraper-with-salary-and-benefits").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

curl -X POST "https://api.apify.com/v2/actors/vexaloom-labs~indeed-job-search-scraper-with-salary-and-benefits/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"searchQueries":["web developer in San Francisco"],"country":"US","location":"San Francisco","radius":25,"radiusUnit":"miles","sort":"relevance","easyApplyOnly":false,"maxItems":3,"includeDescriptionHtml":false,"includeCompanyRatings":false,"includeContacts":false,"includeCompanyReviews":false,"includeCompanySalaries":false,"expandBeyondCeiling":false}'

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=vexaloom-labs/indeed-job-search-scraper-with-salary-and-benefits",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Questions people ask

More on Indeed

• Error fix403 Forbidden with cf-mitigated: challenge: Cloudflare blocks
• Topic groupJobs and hiring data: every website compared
• ToolWhich Indeed route fits your job?
• ToolIndeed cost by Apify plan, rows and runs

Related websites

• Glassdoor2 Actors
• LinkedIn Jobs1 Actor
• ZipRecruiter2 Actors

Sources

• Indeed Job Search Scraper with Salary & Benefits Data on Apify Store
• Indeed Global Job Scraper with Company Salary Reports on Apify Store
• Indeed partner APIs documentation
• Indeed terms