# Apna Jobs Scraper - Search & Job Details (`scrapingmonkey/apna-scraper`) Actor Scrape Apna job listings and vacancy details with employers, locations, pay and requirements for India recruitment and hiring research. Choose the collection mode and set a result limit for each input. - **URL**: https://apify.com/scrapingmonkey/apna-scraper.md - **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README 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 ```json { "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 ```json { "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 ```json { "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 ```json { "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 `$APIFY_TOKEN` with your token. ```bash curl -X POST "https://api.apify.com/v2/acts/$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. # Actor input Schema ## `mode` (type: `string`): Choose the information to collect. ## `maxResults` (type: `integer`): Collect up to this many results for each search or link. Minimum: 1. ## `keywords` (type: `string`): For example, accountant or software engineer. Leave empty to browse all jobs. For Job Search. ## `jobUrls` (type: `array`): Paste one link per line. Example: https://apna.co/job/kannur/process-mechanic-coating-concept-171286726 For Job Details. ## Actor input object example ```json { "mode": "apna-job-search", "maxResults": 10, "keywords": "sales" } ``` # Actor output Schema ## `results` (type: `string`): Collected entities and failed input outcomes, with all available fields and error explanations in one dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "apna-job-search", "maxResults": 10, "keywords": "sales" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapingmonkey/apna-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "apna-job-search", "maxResults": 10, "keywords": "sales", } # Run the Actor and wait for it to finish run = client.actor("scrapingmonkey/apna-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "apna-job-search", "maxResults": 10, "keywords": "sales" }' | apify call scrapingmonkey/apna-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/apna-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/kwErV5CaKKjHxpmZk/builds/N1cL6yF0I4vJW7ucZ/openapi.json