Apna Jobs Scraper - Search & Job Details

Collect public job search results and detailed vacancy records with Apna Scraper. Compare advertised pay, education, English requirements, shifts and openings when qualifying local hiring opportunities. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login.

Use the results for Indian local hiring and recruitment. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database.

At a glance	Details
📥 Input	Search fields or links to the selected items; see the examples below
📤 Output	One row per job vacancy
📄 Pagination	Automatic up to maxResults for each input, when more results are available
🔐 Login required	No
⚡ Processing	Multiple inputs per run with automatic retries for temporary errors
💾 Delivery	One complete Apify dataset table; CSV, JSON and Excel export

What the Apna scraper collects 💼

Collect job search results and detailed vacancy records. Compare advertised pay, education, English requirements, shifts and openings when qualifying local hiring opportunities.

Collection	What you receive
Apna jobs scraper	Records containing job titles, employers, locations, published pay, descriptions, ready for vacancy discovery and hiring-demand research.
Apna job details scraper	Records containing job titles, employers, locations, published pay, descriptions, ready for vacancy enrichment and candidate-requirement analysis.

Data can include:

• Record identity: Record identifiers, public links and the published job title or company name.
• Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
• Employer information: Employer names, identifiers and profile links, with the company information attached to the public record.
• Location and workplace: Published workplace and location information.
• Descriptions and requirements: Published job or company descriptions and HTML and readable text where supplied.
• Skills and qualifications: Experience or seniority requirements and education requirements.
• Employment and benefits: Employment and contract types and working hours and schedule information.
• Dates and hiring activity: Publication and update information and closing dates.

How to scrape Apna 🚀

1. Choose Job Search in What to collect, or select another collection mode.
2. Fill in the search fields, or paste links to the items you want to collect.
3. Set the maximum results and any optional filters.
4. Start the Actor and review the collected rows.
5. Export the dataset or connect it to your application.

Apna jobs scraper — input example

{
  "mode": "apna-job-search",
  "keywords": "sales",
  "maxResults": 10
}

maxResults: 10 means up to 10 results for each input. It does not guarantee that the website has that many matches. You can set the limit as low as 1.

Apna job details scraper — input example

{
  "mode": "apna-job-details",
  "jobUrls": [
    "https://apna.co/job/kannur/process-mechanic-coating-concept-171286726"
  ],
  "maxResults": 10
}

Apna data fields and complete output 📦

Field group	Included data
Record identity	Record identifiers, public links and the published job title or company name.
Pay and compensation	Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record.
Employer information	Employer names, identifiers and profile links, with the company information attached to the public record.
Location and workplace	Published workplace and location information.
Descriptions and requirements	Published job or company descriptions and HTML and readable text where supplied.
Skills and qualifications	Experience or seniority requirements and education requirements.
Employment and benefits	Employment and contract types and working hours and schedule information.
Dates and hiring activity	Publication and update information and closing dates.

Each collected item is a separate row. input identifies the submitted value and result_type identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty.

A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change.

Apna jobs scraper — complete JSON result

{
  "result_type": "apna-job-search",
  "input": "https://apna.co/jobs",
  "status": "success",
  "id": "171286726",
  "title": "Process Mechanic - Coating Concept",
  "url": "https://apna.co/job/kannur/process-mechanic-coating-concept-171286726",
  "company_id": "405182",
  "company_name": "2Coms Consulting Pvt Ltd.",
  "location": "Kannur",
  "description": "Job Title: Process Mechanic - Coating Concept \n Industry: Automotive/ Industrial Coating\n Employment Type: Full-Time\n \n Job Description:\n We are looking for skilled Painters / Spray Painters from India with an NTC/ITI qualification in Painter (General) for employment with an automotive supplier in Germany. The selected candidates will work in the industrial coating of high-value plastic and composite (CFRP/carbon) components used in the automotive industry. Candidates with practical experience in spray painting, surface preparation, masking, polishing, and finishing of components are encouraged to apply.\n \n Key Responsibilities:\n Prepare plastic and composite/carbon components for painting.\n Carry out manual sanding and surface preparation.\n Perform masking of components before painting.\n Prepare, set up, and clean components using appropriate chemical solutions.\n Carry out manual spray painting using a spray gun.\n Paint plastic and composite/CFRP components according to required quality standards.\n Perform polishing and finishing of painted components.\n Follow workplace safety, quality, and production procedures.\n Perform other general support duties as assigned by the shift supervisor.\n \n \n Requirements A minimum of 3 years of practical spray painting/spray gun experience is desirable. \n Experience in industrial painting, automotive painting, plastic component painting, or composite/CFRP painting will be an advantage.\n Candidates with strong hands-on painting skills and relevant ITI/NTC training may also be considered.\n Qualification:\n NTC / ITI – Painter (General) qualification.\n Qualification should preferably be issued under NCVT / DGT.\n Candidates with relevant vocational training in industrial painting/coating technology may also be considered.\n \n \n Benefits Family-like working atmosphere, flat hierarchies, young international team\n • Safe, modern workplace in a growing company\n • Personal and professional development opportunities\n • Voluntary additional benefits, special and bonus payments, employer contribution to retirement provision\n • Predictable vacation planning through company shutdown periods, additional vacation days\n • Free work clothing and safety equipment\n • Free cold beverages, discounted hot beverages, free parking",
  "salary": null,
  "salary_min": 300000.0,
  "salary_max": 500000.0,
  "employment_type": null,
  "education": "ITI",
  "experience": "Min. 1 Years",
  "posted_at": "2026-09-18T00:00:00.000+00:00",
  "deadline": "2026-10-03",
  "description_html": null,
  "openings": 1,
  "work_from_home": false,
  "part_time": false,
  "gender": null,
  "english_level": "",
  "department": "Production / Manufacturing / Engineering",
  "category": "Painter",
  "work_days": null,
  "work_hours": null
}

Apna job details scraper — complete JSON result

{
  "result_type": "apna-job-details",
  "input": "https://apna.co/job/kannur/process-mechanic-coating-concept-171286726",
  "status": "success",
  "id": "171286726",
  "title": "Process Mechanic - Coating Concept",
  "url": "https://apna.co/job/kannur/process-mechanic-coating-concept-171286726",
  "company_id": "405182",
  "company_name": "2Coms Consulting Pvt Ltd.",
  "location": "Kannur",
  "description": "Job Title: Process Mechanic - Coating Concept \n Industry: Automotive/ Industrial Coating\n Employment Type: Full-Time\n \n Job Description:\n We are looking for skilled Painters / Spray Painters from India with an NTC/ITI qualification in Painter (General) for employment with an automotive supplier in Germany. The selected candidates will work in the industrial coating of high-value plastic and composite (CFRP/carbon) components used in the automotive industry. Candidates with practical experience in spray painting, surface preparation, masking, polishing, and finishing of components are encouraged to apply.\n \n Key Responsibilities:\n Prepare plastic and composite/carbon components for painting.\n Carry out manual sanding and surface preparation.\n Perform masking of components before painting.\n Prepare, set up, and clean components using appropriate chemical solutions.\n Carry out manual spray painting using a spray gun.\n Paint plastic and composite/CFRP components according to required quality standards.\n Perform polishing and finishing of painted components.\n Follow workplace safety, quality, and production procedures.\n Perform other general support duties as assigned by the shift supervisor.\n \n \n Requirements A minimum of 3 years of practical spray painting/spray gun experience is desirable. \n Experience in industrial painting, automotive painting, plastic component painting, or composite/CFRP painting will be an advantage.\n Candidates with strong hands-on painting skills and relevant ITI/NTC training may also be considered.\n Qualification:\n NTC / ITI – Painter (General) qualification.\n Qualification should preferably be issued under NCVT / DGT.\n Candidates with relevant vocational training in industrial painting/coating technology may also be considered.\n \n \n Benefits Family-like working atmosphere, flat hierarchies, young international team\n • Safe, modern workplace in a growing company\n • Personal and professional development opportunities\n • Voluntary additional benefits, special and bonus payments, employer contribution to retirement provision\n • Predictable vacation planning through company shutdown periods, additional vacation days\n • Free work clothing and safety equipment\n • Free cold beverages, discounted hot beverages, free parking",
  "salary": null,
  "salary_min": 300000.0,
  "salary_max": 500000.0,
  "employment_type": "Full Time",
  "education": "ITI",
  "experience": "Min. 1 Years",
  "posted_at": "2026-09-18",
  "deadline": "2026-10-03",
  "description_html": "",
  "openings": 1,
  "work_from_home": false,
  "part_time": false,
  "gender": null,
  "english_level": "",
  "department": "Production / Manufacturing / Engineering",
  "category": "Painter",
  "work_days": null,
  "work_hours": null
}

Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with status: failed. At most one failed row is saved per input; it includes error_code and error_message explaining the outcome. A normal end of pagination after collected results does not add a failed row.

Input requirements and collection settings ⚙️

Setting	What to enter
What to collect (mode)	Choose the information to collect.
Maximum results per search or link (maxResults)	Collect up to this many results for each search or link. Minimum: 1.
Job title or keywords (keywords)	For example, accountant or software engineer. Leave empty to browse all jobs. For Job Search.
Job listing links (jobUrls)	Paste one link per line. Example: https://apna.co/job/kannur/process-mechanic-coating-concept-171286726 For Job Details.

Collection mode	Fields to use
Job Details	Job listing links
Job Search	Job title or keywords

The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available.

Apna scraping use cases 🎯

Hiring activity monitoring

Run repeat collections of Apna listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity.

Vacancy enrichment

Turn known Apna job links or supported identifiers into structured vacancy records for recruitment databases, job comparison tools and candidate research.

Advertised compensation research

Compare the compensation published in Apna records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports.

Skills demand analysis

Analyse the skills, experience or qualifications actually published in Apna records to compare hiring requirements across role groups and prepare recruitment briefs.

Working-condition comparison

Compare the contract, schedule or benefit information published in Apna records when researching how employers present their opportunities.

Pricing and saved-result behavior 💰

See the Actor's Pricing tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost.

Under dataset-item pricing:

• Each collected item saved in the dataset is one result.
• Images, tags and other values attached to that item do not create additional rows.
• Automatic retry attempts do not create extra dataset rows.
• A saved failed row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected.
• maxResults caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results.

Apna scraper API and integrations 🔌

Replace $ACTOR_ID with the ID shown in the Actor API tab and $APIFY_TOKEN with your token.

curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode":"apna-job-search","keywords":"sales","maxResults":10}'

Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application.

Reliability, retries, and public-data limits ⚠️

Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result.

Search accepts keywords or the public jobs page. Choose job title or keywords in the input form.

Apna controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved.

Frequently asked questions ❓

Does it require an account on Apna?

No. You do not need to provide an account, password or login cookies. Only publicly available information is collected.

How does maxResults work?

It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. A detail lookup normally returns one record per input.

Which inputs and filters does this Actor support?

Search accepts keywords or the public jobs page. Choose job title or keywords in the input form.

When should I use Job Details instead of Job Search?

Use search to discover Apna vacancies and their listing fields. Use details for a known vacancy when you need the additional description and requirements that the advertisement publishes.

Why are some fields empty?

The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed.

Can I export the results to a spreadsheet?

Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table.

Support and responsible use 🛟

For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials.

Use public Apna information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results.