Indeed Job Scraper [From $0.1💰] | Company, Contacts & more

What does Indeed Job Scraper do?

Indeed Job Scraper extracts structured job listings from Indeed across 49 country markets and enriches every record with company profile data — employer rating, industry, revenue, size, CEO, headquarters, and website — that no other Indeed scraper provides. Each job also carries GPS coordinates, up to 30+ structured attributes (skills, benefits, experience level), salary metadata, remote/hybrid flags, and contact details (emails, phones, social profiles) extracted from the listing text. Everything is delivered as clean, typed JSON ready for CSV, Excel, API, or AI-agent consumption, no code required.

Give it a search keyword, a location, and a country — and it returns every matching job as a structured record with nearly 50 data fields. For each job you get the title, company, parsed location with coordinates, salary period and currency, posting date, and source. Company profile enrichment (on by default) adds the employer's rating, review count, industry, revenue, founding year, headcount range, CEO name, website, and logo. Turn on Fetch full details to also pull the complete job description, the full attributes/skills array, and contact information. You can also paste Indeed URLs directly instead of a keyword search.

New to Apify? You can sign up for free and use the included monthly platform credit to try this Actor.

Why this scraper

• ⚡ Fast & low-cost — lightweight requests with no browser overhead, so large runs stay cheap.
• 🏢 Company intelligence built in — employer rating, industry, revenue, size, CEO, and HQ enriched automatically.
• 🧾 Rich, typed records — nearly 50 structured fields per job, not raw HTML.
• ♻️ Cheap to monitor — incremental mode re-scrapes only what changed (see below).
• 🔔 Notifications built in — Telegram, Slack, Discord or any webhook.
• 🤖 AI- & API-ready — compact output, MCP-friendly, one-click integrations.

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Key features

• 🏢 Company profile enrichment — every job is automatically enriched with the employer's Indeed rating, review count, industry, revenue range, founding year, headcount, CEO name, official website, headquarters, logo, and profile URL. No other Indeed scraper on Apify provides this depth of company intelligence.
• 📇 Contact extraction — emails, phone numbers, URLs, and social profiles pulled from each job description; filter with requireContact for instant lead-gen lists.
• ♻️ Incremental monitoring — schedule it and get only NEW, UPDATED, or EXPIRED records; unchanged jobs are skipped before their detail is fetched, cutting costs dramatically.
• 🔔 Multi-channel notifications — Telegram, Slack, Discord, or any webhook (n8n / Make / Zapier) — get pinged the moment new jobs match your search.
• 🔎 Search or URL scraping — run a keyword + location + country search, or paste Indeed search and job-detail URLs directly.
• 🌍 49 country markets — US, UK, Canada, Australia, India, Germany, France, Japan, Brazil, UAE, and 39 more — switch with a single dropdown.
• 📍 GPS coordinates on every listing — latitude, longitude, city, state, postal code, and street address where available — ready for mapping, radius filtering, and geo-analytics.
• 🧠 30+ job attributes per listing — structured array of skills, benefits, experience level, job type, and work arrangement — ideal for skills-gap analysis and trend research.
• 🏠 Remote & hybrid flags — explicit isRemote and isHybrid booleans on every record for clean filtering.
• 📝 Three description formats — plain text, HTML, and Markdown in every record; choose which to include or get all three.
• 🤖 AI-ready — compact + drop-empty output modes keep payloads small for LLMs and MCP tool chains.

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🚀 How to scrape Indeed

1. Open the actor and enter a search keyword (e.g. software engineer) and pick a country — or paste an Indeed URL.
2. Set a location and radius if you want geo-targeted results.
3. Set Max results and choose whether to fetch full details and company enrichment (both on by default).
4. (Optional) Turn on incremental mode and a notification channel, then Schedule it.
5. Click Start and download the data as JSON, CSV or Excel, or pull it from the API.

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Input

Configure it in the visual editor — no code needed — or pass JSON via the API.

Field	What it does
query	Keyword search (comma-separate for multiple searches).
location	City, state, or region (e.g. "New York", "London", "Berlin").
country	Indeed market — 49 countries from the US to Japan to Nigeria.
startUrls	Scrape specific Indeed search or job-detail URLs.
sort	Sort by newest first or most relevant.
radius / radiusUnit	Search radius around the location (miles or kilometers).
includeDetails	Fetch each job's full description, GPS, attributes, and contacts.
includeCompanyInfo	Enrich each record with company profile data (on by default).
requireContact	Keep only listings with an email, phone, or both — built-in lead-gen filter.
descriptionFormat	Which description format(s) to include: all, text, html, or markdown.
compact	Return only core fields — ideal for AI agents and MCP clients.
incrementalMode	Emit only what changed since the last run.
maxResults	Cap the number of records (0 = unlimited).

...and 28 inputs in total — the table shows the essentials; the rest cover notification channels, output/AI modes, and advanced tuning, all in the visual editor.

Example inputs

Basic keyword search

{ "query": "software engineer", "country": "US", "maxResults": 100 }

Location-specific search with company enrichment

{
  "query": "data scientist",
  "location": "London",
  "country": "GB",
  "radius": 50,
  "radiusUnit": "KILOMETERS",
  "includeCompanyInfo": true
}

Incremental monitoring with notifications (schedule daily)

{
  "query": "product manager",
  "country": "US",
  "incrementalMode": true,
  "maxResults": 500,
  "slackWebhookUrl": "https://hooks.slack.com/services/YOUR/WEBHOOK/URL"
}

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Output

Each item in the dataset is one job listing. Every record includes the core fields; enabling Fetch full details (on by default) adds the full description, GPS coordinates, job attributes, remote/hybrid flags, and extracted contacts. Company profile enrichment (also on by default) adds the employer's rating, industry, revenue, size, CEO, website, and more. Here is a real example record:

{
  "id": "47d2c3febf0d0fe0",
  "title": ".NET Developer - Equities Back office",
  "url": "https://jobs.smartrecruiters.com/Talan/744000144781909--net-developer-equities-back-office-",
  "company": "Talan",
  "companyRating": 3.8,
  "companyReviewCount": 245,
  "companyIndustry": "Information Technology",
  "companyRevenue": "$500M–$1B",
  "companyFounded": 2002,
  "companySize": "5,001–10,000",
  "companyCeo": "Mehdi Houas",
  "companyWebsite": "https://www.talan.com",
  "companyHeadquarters": "Paris, France",
  "companyLogoUrl": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/abc123.png",
  "companyProfileUrl": "https://www.indeed.com/cmp/Talan",
  "location": "New York, NY, US",
  "city": "New York",
  "state": "NY",
  "country": "US",
  "latitude": 40.71427,
  "longitude": -74.00597,
  "salaryPeriod": "YEAR",
  "salaryCurrency": "USD",
  "isRemote": false,
  "isHybrid": true,
  "jobAttributes": [
    "Full-time",
    "Senior level",
    "Hybrid work",
    ".NET",
    "SQL",
    "SQL databases",
    "UNIX",
    "Shell Scripting",
    "Automation",
    "Incident management",
    "Communication skills",
    "5 years",
    "401(k) matching",
    "Dental insurance",
    "Paid holidays"
  ],
  "description": "Company Description\n\nTalan is an international group that supports its clients in their end-to-end Data & AI transformation ...",
  "descriptionMarkdown": "**Company Description**\n\nTalan is an international group ...",
  "postedAt": 1787323700509,
  "indexedAt": 1787323703770,
  "expired": false,
  "externalSource": "Talan",
  "source": "indeed.com",
  "searchKeyword": "software engineer",
  "scrapedAt": "2026-08-21T15:39:26.093427+00:00",
  "extractedEmails": ["careers@talan.com"],
  "extractedPhones": ["+1-212-555-0199"],
  "extractedUrls": ["https://careers.talan.com/apply"],
  "socialProfiles": { "linkedin": "https://linkedin.com/company/talan" },
  "contentHash": "90b1890e8c18a45fb1af3cbc06aaac812971d8ff"
}

This listing carried 20 job attributes — the array is trimmed for readability. Descriptions are shown truncated; in practice each record contains the full text. Each record can also include descriptionHtml alongside description and descriptionMarkdown — choose the format with the Description format input. When incremental mode is on, records carry a changeType field (NEW / UPDATED / EXPIRED) and repost-detection fields.

Data fields

• Core — id, title, url, company, location, postedAt, source, scrapedAt.
• Company profile (with includeCompanyInfo) — companyRating, companyReviewCount, companyIndustry, companyRevenue, companyFounded, companySize, companyCeo, companyWebsite, companyHeadquarters, companyLogoUrl, companyProfileUrl.
• Location & GPS (with includeDetails) — city, state, country, latitude, longitude, postalCode, streetAddress.
• Skills & attributes (with includeDetails) — jobAttributes (structured array of skills, benefits, experience level, job type, work arrangement — typically 15-30+ per listing).
• Salary & work type — salaryPeriod, salaryCurrency, isRemote, isHybrid.
• Description (with includeDetails) — description, descriptionHtml, descriptionMarkdown (choose format with the Description format input).
• Contacts & signals — extractedEmails, extractedPhones, extractedUrls, socialProfiles.
• Posting metadata — indexedAt, expired, externalSource, searchKeyword, detailFetched, contentHash.
• Incremental — changeType, isRepost, repostOfId, repostDetectedAt (present only in incremental mode).

Every field is present in standard mode (missing values are null); compact mode returns the core fields only, for lean AI/MCP payloads. With excludeEmptyFields enabled, null/empty fields are omitted entirely.

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💡 What can you do with Indeed data?

• Company intelligence — aggregate employer ratings, industries, revenue ranges, and headcount across job postings to profile companies at scale, enrich your CRM, or research potential employers.
• Lead generation — filter for listings with embedded contact details (requireContact) and build targeted outreach lists from job postings, enriched with company website and social profiles.
• Skills-gap & talent research — aggregate the structured jobAttributes array across thousands of listings to map in-demand skills by role, region, or industry.
• Remote & hybrid filtering — use the dedicated isRemote and isHybrid flags to segment listings by work arrangement across any market.
• Job monitoring & alerts — schedule it with incremental mode + notifications for a live change feed of new, updated, or expired postings.
• Geo-analytics & mapping — plot listings on a map using the GPS coordinates; cluster by city, radius, or commute zone. Filter remote and hybrid jobs with dedicated boolean flags.
• AI agents & pipelines — compact output plugs straight into LLM/MCP workflows for automated job matching, resume screening, or market intelligence.

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♻️ Incremental monitoring — pay for changes, not repeats

Schedule the actor and turn on incremental mode: each run compares against the last and emits only NEW / UPDATED / EXPIRED records — unchanged items are skipped before their detail page is fetched, so a daily watch costs a fraction of a full re-scrape.

Daily churn	of 1,000 tracked	billable records	you save
5 %	1,000	50	95 %
15 %	1,000	150	85 %
30 %	1,000	300	70 %

The first run seeds the baseline and bills in full; every run after that bills only the delta.

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💰 Pricing

This Actor uses the pay-per-event pricing model: a small fee at run start plus a per-record fee. It runs on lightweight requests with no browser overhead, so the underlying platform cost is minimal.

See the Actor's Pricing tab for exact current prices.

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🔌 Integrations & export

Export to JSON, CSV, Excel or an HTML table, or pull from the REST API and the JavaScript / Python clients. Runs on a schedule, connects to Google Sheets, Slack, Make, Zapier and n8n, and works as an MCP tool for AI agents — compact mode keeps token usage small.

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🔗 Using the API

You can run this Actor from your own code. Example with the Apify Python client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "query": "software engineer",
    "country": "US",
    "includeCompanyInfo": True,
    "maxResults": 50,
}

run = client.actor("corvuslab/indeed-scraper").call(run_input=run_input)

print("Results: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

The Actor also works with the JavaScript/TypeScript client, the Apify CLI and the REST API.

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❓ FAQ

Do I need a proxy or login? No — it runs out of the box with no configuration. Apify Proxy is available under Advanced for high-volume runs in restricted regions.

What company data do I get? When company profile enrichment is enabled (on by default), each record includes the employer's Indeed rating, review count, industry, revenue range, founding year, headcount range, CEO name, official website, headquarters, logo, and profile URL.

Can I get only new jobs on a schedule? Yes — turn on incremental mode and schedule it; each run emits only what changed and can notify your Telegram, Slack, Discord, or webhook channel.

Can I filter remote or hybrid jobs? Every record includes isRemote and isHybrid boolean flags, so you can filter in your downstream pipeline or spreadsheet.

What formats can I export? JSON, CSV, Excel, HTML table, or via the API.

Is it good for AI agents? Yes — enable compact mode; the output is MCP-friendly and keeps token usage low.

How many records can I get? Set maxResults to any number (0 = unlimited). The actor paginates automatically.

Can I search multiple keywords at once? Yes — comma-separate them in the query field (e.g. "data scientist, machine learning"); each runs as its own search and results are merged and de-duplicated.

Can it notify me when new jobs appear? Yes — add a Telegram, Slack, Discord, or generic webhook target under Notifications, and combine with incremental mode so you only get pinged about new and updated listings.

Is scraping Indeed legal? This actor collects only publicly available data on Indeed. You are responsible for how you use the extracted data — in particular any personal information — and for complying with the site's terms and applicable law (including the GDPR where it applies). Not affiliated with, endorsed by, or sponsored by Indeed, Recruit Holdings, or any of their subsidiaries.

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