Timesjobs Scraper 💼

What does TimesJobs Job Scraper do?

TimesJobs Job Scraper collects public job listings from TimesJobs.com and saves them as structured records in an Apify dataset. Enter a job keyword, location, or a TimesJobs search URL to gather roles for hiring research, job market analysis, recruitment lead generation, and career intelligence.

Each result can include the job title, hiring company, location, required skills, salary, employment type, posting date, descriptions, vacancy count, job identifier, and application URLs. Results are returned in JSON and can also be exported to CSV, Excel, XML, or other Apify-supported formats.

Why use TimesJobs Job Scraper?

• Targeted job searches - Narrow results by role keyword and Indian city or region.
• Detailed job records - Collect both summary information and available job description content for downstream review.
• Predictable collection size - Set results_wanted to control how many listings the run should save.
• Recruitment workflows - Build hiring research datasets, identify active employers, and compare demand for skills across locations.
• Repeatable monitoring - Schedule recurring runs in Apify to watch job availability, salary information, and posting activity over time.
• Automation-ready exports - Send the dataset to spreadsheets, webhooks, no-code tools, or your own application.

What data can you extract from TimesJobs?

The Actor returns one dataset item per collected job listing. Optional fields are omitted when TimesJobs does not publish the corresponding information.

Field	Type	Description
title	String	Job title or role name.
company	String	Hiring company name.
experience	String	Required experience range, such as 2 - 5 Yrs.
location	String	Job location or locations.
skills	Array	Skill keywords associated with the listing.
salary	String	Salary or compensation text when available.
job_type	String	Employment or job type when available.
date_posted	String	Posting date or relative posting text.
description_html	String	Job description in HTML format when available.
description_text	String	Job description converted to plain text.
url	String	TimesJobs detail page URL.
job_id	String	TimesJobs job identifier.
company_description	String	Company description when published.
address	String	Address or additional location detail when available.
vacancies	Number	Number of vacancies when published.
external_job_url	String	External application or employer URL when available.
source	String	Source marker included with the record.

How to scrape TimesJobs data

1. Open TimesJobs Job Scraper in Apify Console.
2. Enter a keyword, location, or provide a public TimesJobs search URL.
3. Set results_wanted to the number of listings you need.
4. Run the Actor and review the dataset preview.
5. Download the results or connect the dataset to your workflow.

The input form includes example values for a software developer search in Bengaluru. Replace them with your own search criteria before running the Actor.

Input Parameters

Parameter	Type	Required	Default or prefill	Description
startUrl	String	No	None	A public TimesJobs search URL. Use this when you already have a prepared search page.
keyword	String	No	software developer	Job title, skill, or search phrase, such as python developer or data analyst.
location	String	No	Bengaluru	City, region, or location filter, such as Mumbai, Delhi, or Pune.
results_wanted	Integer	No	20	Number of job listings to save. Larger values may take longer and depend on matching public listings.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify proxy settings for runs that need additional network reliability.

If a startUrl contains search parameters, the Actor can use those values as search context. Explicit keyword and location inputs remain useful when you want to control the search directly.

Input precedence is predictable: values supplied in the Actor input form take priority, then missing filters are read from a supplied TimesJobs search URL. You can run a keyword-only search, a keyword plus location search, or provide a URL with its saved filters.

Output Data

The dataset contains one structured JSON record per unique job. Optional fields are omitted when TimesJobs does not publish a value, so downstream workflows do not need to clean a collection of null properties. skills is always returned as an array and uses Not specified when no usable skills are published.

Field	Type	Description
title	String	Job title.
company	String	Company name.
experience	String	Formatted experience requirement.
experience_from	Number	Minimum experience in years when published.
experience_to	Number	Maximum experience in years when published.
location	String	Location text.
skills	Array	Skills or technologies listed for the role.
salary	String	Salary range, salary value, or employer-provided compensation text.
job_type	String	Job or employment type.
employment_type	String	Employment classification.
date_posted	String	Posting date text.
posted_at	String	Posting timestamp when published.
expires_at	String	Listing expiry date when published.
description_html	String	Original formatted description when available.
description_text	String	Plain-text version of the description.
url	String	TimesJobs detail URL.
job_id	String	Source job identifier.
application_count	Number	Application count reported by the listing.
company_id	String or Number	Source company identifier.
company_logo	String	Company logo URL.
company_description	String	Company information from the listing detail.
address	String	Address information when available.
show_address	Boolean	Whether the source marks the address as visible.
contact_info	Object or String	Contact information when published.
show_contact	Boolean	Whether the source marks contact information as visible.
vacancies	Number	Vacancy count when available.
external_job_url	String	External application URL when available.
desired_candidate	String	Candidate profile text.
gender	String	Gender preference code when published.
gender_formatted	String	Human-readable gender preference.
industry_ids	String	Industry identifiers.
industry_names	Array	Industry names.
function_ids	String	Job function identifiers.
function_names	Array	Job function names.
area_of_specialization_ids	String	Area-of-specialization identifiers.
area_of_specialization_names	Array	Areas of specialization.
role_ids	String	Role identifiers.
role_names	Array	Role names.
location_ids	String	Location identifiers.
location_names	Array	Normalized location names.
location_others	String	Additional location information.
hiring_off	String	Hiring-office identifier when published.
hiring_off_names	Array	Hiring-office names.
low_salary	Number	Lower compensation value in the source currency.
high_salary	Number	Upper compensation value in the source currency.
currency	String	Currency reported on the search listing.
ctc_currency	String	Currency code reported on the detail listing.
ctc_flag	Number	Compensation flag from the source listing.
hide_ctc_from_candidate	Boolean	Whether compensation is hidden by the employer.
best_in_industry	Boolean	Whether the listing is marked best in industry.
perks	String	Benefits or perks text.
listing_source	String	Source listing category.
graduation_course_names	Array	Graduation course requirements.
graduation_specializations	Array	Graduation specialization requirements.
any_graduate	Number	Whether any graduate qualification is accepted.
postgraduation_course_names	Array	Postgraduate course requirements.
postgraduation_specializations	Array	Postgraduate specialization requirements.
any_postgraduate	Number	Whether any postgraduate qualification is accepted.
source	String	Source marker for the collected record.

Usage Examples

Keyword-only Search

Collect the first matching jobs for a keyword without limiting the location.

{
  "keyword": "Python developer",
  "results_wanted": 20
}

Basic Search

Collect software developer jobs in Bengaluru.

{
  "keyword": "software developer",
  "location": "Bengaluru",
  "results_wanted": 20
}

Search by Role and Location

Collect a larger set of data analyst listings in Mumbai for market research.

{
  "keyword": "data analyst",
  "location": "Mumbai",
  "results_wanted": 100
}

Start from a TimesJobs Search URL

Use a prepared TimesJobs search page and limit the run to 50 records.

{
  "startUrl": "https://www.timesjobs.com/candidate/job-search.html?searchType=personalizedSearch&from=submit&txtKeywords=python%20developer&txtLocation=Pune",
  "results_wanted": 50
}

Sample Output

The following example shows one realistic dataset item. Optional fields are included only when information is available in the source listing.

{
  "title": "Product Manager, Android GPU Quality",
  "company": "Google",
  "experience": "5 - 7 Yrs",
  "experience_from": 5,
  "experience_to": 7,
  "location": "Bengaluru",
  "skills": ["Product Management", "Technical Leadership", "Market Validation"],
  "salary": "As per industry standard",
  "job_type": "On-site",
  "employment_type": "Full-time",
  "date_posted": "01 Aug, 2026",
  "posted_at": "2026-08-01T22:45:37",
  "expires_at": "2026-09-29",
  "description_html": "<strong>Product Manager, Android GPU Quality</strong><p>...</p>",
  "description_text": "Product Manager, Android GPU Quality Location: Bengaluru, Karnataka, India...",
  "url": "https://www.timesjobs.com/job-detail/product-manager-android-gpu-quality-google-bengaluru-5-7-years-jobid-example",
  "job_id": "80678900",
  "application_count": 0,
  "company_logo": "https://timesjob.s3.ap-south-1.amazonaws.com/company-logos/002256.png",
  "show_address": false,
  "show_contact": false,
  "vacancies": 0,
  "external_job_url": "https://www.google.com/about/careers/applications/jobs/results/example",
  "gender": "PreferNot",
  "gender_formatted": "No Preference",
  "function_ids": "35",
  "function_names": ["IT Software : Software Products & Services"],
  "area_of_specialization_ids": "20105",
  "area_of_specialization_names": ["Recruitment"],
  "location_ids": "198130",
  "location_names": ["Bengaluru"],
  "currency": "INR",
  "ctc_currency": "r",
  "ctc_flag": 1,
  "hide_ctc_from_candidate": true,
  "best_in_industry": false,
  "listing_source": "srp",
  "graduation_course_names": ["Any Postgraduate"],
  "any_postgraduate": 1,
  "source": "timesjobs"
}

Tips for Best Results

• Use specific keywords such as React developer, Java backend engineer, or digital marketing manager to reduce irrelevant listings.
• Combine keyword and location when you need a focused hiring dataset.
• Start with 20 results to check relevance and field completeness before increasing the limit.
• Use a direct TimesJobs search URL when the website search page already contains the filters you need.
• Review salary and vacancy fields as source-provided values. Many listings do not publish compensation or headcount.
• Use scheduled runs for recurring market monitoring, then compare datasets by posting date and job URL.

Integrations and Export Formats

• Google Sheets - Review roles, companies, locations, and salary information in a shared spreadsheet.
• Webhooks - Trigger notifications or downstream processing after a run completes.
• Make and Zapier - Route new job records to CRM, email, Slack, or other business tools.
• Apify API - Retrieve dataset items programmatically for dashboards, internal tools, or data pipelines.

Apify datasets can be exported as JSON, CSV, Excel, XML, and other supported formats. JSON is useful for applications and data pipelines, while CSV and Excel are convenient for manual analysis and reporting.

Frequently Asked Questions

How many TimesJobs listings can I collect in one run?

You can set results_wanted to the number of listings needed. Larger collections may take longer and depend on the number of matching public listings.

Can I start from a TimesJobs URL?

Yes. Provide a public search URL in startUrl. This is useful when you have already selected filters on TimesJobs.

Does the Actor collect full job descriptions?

Yes, when the listing provides description content. The dataset includes both description_html and a plain-text description_text field.

Why are some output fields empty?

Some employers do not publish salary, address, vacancy count, company information, or other optional details. Empty values reflect the source listing rather than a required field in every record.

Can I schedule recurring TimesJobs searches?

Yes. Create an Apify schedule to run the Actor hourly, daily, weekly, or at another interval supported by your workflow.

Can I export the results to CSV or Excel?

Yes. Apify dataset results can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

Is collecting TimesJobs data legal?

Public data collection can be subject to applicable laws, privacy requirements, and TimesJobs.com terms. You are responsible for reviewing those requirements and using the collected job information responsibly.

Related Actors

• Freshersworld Jobs Scraper - Collect fresher and entry-level job listings from an Indian job portal.
• Talent Job Scraper - Gather job postings from Talent.com for broader hiring research and lead generation.
• Kariyer Job Scraper - Collect job listings and detail fields from Kariyer.net.
• Xing Jobs Scraper - Gather professional job listings for DACH-region recruitment and market analysis.

Support

For issues, missing fields, or feature requests, use the Issues tab on the Actor page. Include the input used, the affected TimesJobs URL or search criteria, and a short description of the expected result.

Legal Notice

This Actor is intended for legitimate collection of publicly available job information. Users are responsible for complying with TimesJobs.com terms, applicable laws, privacy requirements, and any restrictions related to storing, analyzing, or redistributing employment data.