# Workable Jobs Scraper (`mrslm_data/workable-jobs`) Actor Scrape public Workable job boards and filter openings by title, location, department, remote status or posting date. - **URL**: https://apify.com/mrslm_data/workable-jobs.md - **Developed by:** [MRSLM Data](https://apify.com/mrslm_data) (community) - **Categories:** Jobs - **Security:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 jobs 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 ## Workable Jobs Scraper: Any Company Careers Page **Open roles from any company's Workable careers page: department, city, country, remote flag, employment type, function, industry and description. $1.00 per 1,000 jobs.** Workable is popular with small and mid-size companies in Europe, Greece, the UK and the Middle East, a segment most job feeds miss. ### Quick start 1. Press **Start**. The form is already filled with this example input, so the first run returns real rows in under a minute: ```json { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "maxJobsPerCompany": 10 } ``` 2. Swap in your own values, or call the Actor through the Apify API, Make, Zapier, n8n or the Python/JS clients with the same JSON. 3. Download the results as JSON, CSV or Excel from the **Output** tab, or schedule the run to repeat. **Full guide: How to Scrape Workable Job Boards (apply.workable.com) into a Spreadsheet** ### What the Workable Jobs Scraper does You give the Actor Workable board names (`huggingface`) or links (`https://apply.workable.com/skroutz/`). It reads each board's public jobs feed, applies your filters, sorts by posting date and saves one row per job. Workable's public feed carries a few things other job boards do not: a job `function` (Engineering, Sales, Customer Service), the company's `industry`, an `education` level and a `seniority` such as Associate or Mid-Senior level. The Actor keeps all of these as columns. You only pay for jobs saved after your filters. - Works with any public apply.workable.com board. - Filters by title words, excluded words, location, department, remote and posting date. - Same core columns as our Greenhouse, Lever and multi-ATS scrapers, so files can be combined. ### Who it is for - **Recruiters and staffing agencies in Europe**: Workable is common among European startups and scale-ups, so a list of 100 Workable boards covers a lot of local hiring. - **Sales teams**: watch target accounts for new roles in a buyer function, such as Customer Service or Sales. - **Market researchers**: count roles by function, seniority and country across a sector. - **Job seekers**: follow specific companies, including remote-first ones such as Hugging Face. ### Real example: every open role at three Workable companies, up to eight each Say you want a quick picture of who is hiring and for what at three companies: Hugging Face (remote-first AI), Skroutz (a Greek e-commerce marketplace with its own logistics arm) and Epignosis (e-learning software, Athens and London). You want all departments, not only engineering, and up to eight newest roles per company. #### Step 1: Enter the input Open the [Workable Jobs Scraper](https://apify.com/mrslm_data/workable-jobs) in Apify Console, switch the input form to **JSON** and paste this. It is the exact input used for the run in this guide: ```json { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "remoteOnly": false, "maxJobsPerCompany": 8 } ``` What each setting does: - `companies`: two bare names and one full apply.workable.com link. All three forms work. - `remoteOnly`: set to false to keep office and remote roles alike (this is the default, shown here for clarity). - `maxJobsPerCompany`: save at most eight jobs per company, newest first. #### Step 2: Run it Press **Start**. On 30 October 2026 this input finished with status `SUCCEEDED` in about 3 seconds and saved 22 rows to the run's dataset. The run was charged 22 `job` events plus one start event, so the bill was $0.0221 on the Free/Bronze tier. Per the summary, Skroutz had 9 open jobs and 8 were saved, Hugging Face had 6 and all 6 were saved, and Epignosis had 13 and 8 were saved. No title filter was used, so every open job matched. #### Step 3: Read the output Here are the first rows of the real dataset, cut to the most useful columns: | company | title | department | location | workplaceType | function | seniority | |---|---|---|---|---|---|---| | skroutz | Operations Drivers Success Specialist - Skroutz… | Last Mile | Egaleo, Attica, Greece | | Supply Chain | Associate | | skroutz | Business Intelligence Engineer - Skroutz Last Mi… | Last Mile | Athens, Attica, Greece | | Engineering | Mid-Senior level | | skroutz | Operations Driver Success Specialist Metamorfosi… | Last Mile | Athens, Attica, Greece | | Supply Chain | Associate | | skroutz | Operations Drivers Success Specialist - Skroutz… | Last Mile | Paiania, Attica, Greece | | Supply Chain | Associate | | skroutz | Customer Care Agent - Skroutz Last Mile (CCA 092… | Last Mile | Athens, Attica, Greece | | Customer Service | Entry level | | skroutz | Warehouse Staff - Aspropyrgos (WSA 0926) | FBS | Aspropyrgos, Attica, Greece | | | | | skroutz | Warehouse Staff Night Shift - Aspropyrgos (WSNSA… | FBS | Aspropyrgos, Attica, Greece | | | | | skroutz | Warehouse Team Lead - Aspropyrgos (WTL 0926) | FBS | Aspropyrgos, Attica, Greece | | | | | huggingface | Senior Open-Source Python Engineer, ML Developer… | Product | France | remote | | Mid-Senior level | | huggingface | Senior Open-Source Python Engineer, ML Developer… | Product | United States | remote | | Mid-Senior level | | huggingface | Senior Machine Learning Engineer, Voice Agents -… | Science | Paris, Île-de-France, France | remote | Science | Mid-Senior level | | huggingface | Open-Source Machine Learning Engineer - EMEA Rem… | Open Source | Paris, Île-de-France, France | remote | Engineering | | | huggingface | Open-Source Machine Learning Engineer - US Remot… | Open Source | New York, New York, United States | remote | Engineering | | | huggingface | Wild Card | Wild Card | United States | remote | | | | epignosis | Head Of Commercial Enablement | Sales | Athens, Attiki, Greece | | Sales | | | epignosis | Head Of Commercial Enablement | Sales | London, England, United Kingdom | remote | Sales | | | epignosis | Sales Development Representative (SDR) - Outboun… | Sales | London, England, United Kingdom | remote | Sales | Associate | | epignosis | Account Manager | Account Management | Athens, Attica, Greece | | | | | epignosis | Customer Support Engineer | Customer Support | Athens, Attica, Greece | | Customer Service | Associate | | epignosis | Software Engineer (React Native) | Engineering | Athens, Attica, Greece | | Engineering | | | epignosis | Senior Software Engineer | Engineering | Athens, Attica, Greece | | Engineering | Mid-Senior level | | epignosis | Generalist, Product-Minded Software Engineer (Ju… | Research | Athens, Attica, Greece | | Research | | And one full row as JSON (long text shortened with …): ```json { "platform": "Workable", "company": "huggingface", "companyName": "Hugging Face", "jobId": "9E2A4C02C7", "title": "Senior Machine Learning Engineer, Voice Agents - EMEA Remote", "department": "Science", "location": "Paris, Île-de-France, France", "country": "France", "workplaceType": "remote", "isRemote": true, "employmentType": "full-time", "seniority": "Mid-Senior level", "function": "Science", "industry": "Computer Software", "education": "Master's Degree", "postedAt": "2026-09-02T00:00:00.000Z", "url": "https://apply.workable.com/j/9E2A4C02C7", "applyUrl": "https://apply.workable.com/j/9E2A4C02C7/apply" } ``` What the 22 real rows tell you: - **Three very different hiring patterns.** Skroutz is hiring for its logistics arm: delivery driver success specialists, customer care and warehouse staff in Attica, under the departments "Last Mile" and "FBS". Hugging Face is hiring machine-learning and open-source engineers across its Product, Science and Open Source teams, all remote, with US and EMEA versions of the same role, plus an open "Wild Card" role. Epignosis is hiring sales, account management and software engineers in Athens and London. - **Function and industry help you group.** Workable's `function` labels Skroutz's roles as Supply Chain, Engineering and Customer Service, which is more consistent than department names. But it is not always set: 7 of the 22 rows have no function, including all three Skroutz warehouse roles and Hugging Face's two Python engineer roles. - **`industry` is per job, not per company.** Skroutz's roles say "Consumer Services", "Logistics and Supply Chain" and "Information Technology and Services", depending on the posting. Use `company` to group by employer. - **Remote is structured.** Every Hugging Face role is `remote`, and Epignosis marks its London roles remote while its Athens roles have no workplace type at all. Its Head Of Commercial Enablement appears twice, once for Athens and once for London, because Workable lists them as two jobs. - **Some fields are rare.** `seniority` is set on 11 of 22 rows (Associate, Entry level, Mid-Senior level) and `education` on 10. Salary is empty in every row, because the public Workable feed this Actor reads carries no pay data. ### How to find a company's Workable board Open the company's careers page and click a job. If the link goes to `apply.workable.com//j/...`, the board name is ``. Some companies embed Workable on their own site; the job links or the apply button still point to `apply.workable.com`. Paste either the name or the link into `companies`. If your list mixes Workable with Greenhouse, Lever, Recruitee, Personio, Breezy HR or Teamtailor, the [ATS Jobs Scraper](https://apify.com/mrslm_data/ats-jobs) reads all seven in one run with the same columns. ### Output fields Each row in the dataset has these fields. The example column shows a value from the run above. | Field | What it means | Example from this run | |---|---|---| | `platform` | The ATS the job came from, e.g. Greenhouse, Lever or Workable. | Workable | | `company` | The board name you gave, or the one the Actor detected. | skroutz | | `companyName` | The company display name, when the board publishes it. | Skroutz S.A | | `jobId` | The ATS job ID. Stable from run to run, so use it to spot new jobs. | 65AE910941 | | `title` | The job title as posted. | Operations Drivers Success Specialist - Skroutz Last Mile (O… | | `department / team` | Department and team, when the company sets them. | Last Mile / (empty in this run) | | `location / locations` | The main location text, plus every location for multi-office roles. | Egaleo, Attica, Greece / Egaleo, Attica, Greece | | `country` | Country, when the platform gives one. | Greece | | `workplaceType / isRemote` | remote, hybrid or on-site, plus a true/false remote flag. | remote / no | | `employmentType` | full-time, part-time, intern and so on, when published. | full-time | | `seniority` | Experience level, when the platform publishes one. | Associate | | `salary` | Structured pay range (min, max, currency, period, text) when the company publishes it; otherwise empty. | (empty in this run) | | `postedAt / updatedAt` | When the job was first published and last edited (ISO dates). | 2026-10-22T00:00:00.000Z / 2026-10-22T00:00:00.000Z | | `url / applyUrl` | The public job page and the application page. | https://apply.workable.com/j/65AE910941 / https://apply.workable.com/j/65AE910941/apply | | `boardUrl` | The company's careers board. | https://apply.workable.com/skroutz/ | | `scrapedAt` | When the row was read (UTC). | 2026-10-30T16:13:50.927Z | | `function` | Workable job function, such as Engineering or Sales, when set. | Supply Chain | | `industry` | Industry label on the posting. | Consumer Services | | `education` | Required education level, when set. | Bachelor's Degree | ### Export Workable jobs to CSV, Excel or Google Sheets Every run saves its rows to a dataset, and a dataset can be downloaded in any common format. You do not need to write code for this. **From Apify Console.** Open the run, go to the **Output** tab and click **Export**. Pick CSV, Excel (XLSX), JSON, XML, HTML or RSS. You can tick only the columns you want, for example `company`, `title`, `department`, `location`, `workplaceType`. Nested values such as lists are flattened into columns like `locations/0` in CSV and Excel. **From a URL.** The same export is a plain HTTPS link. Replace `` with the dataset ID shown on the run's Storage tab: ```bash ## CSV with just the columns you need curl -H "Authorization: Bearer $APIFY_TOKEN" \ "https://api.apify.com/v2/datasets//items?format=csv&clean=1&fields=company,title,department,location,workplaceType,function,postedAt,url" -o workable-jobs.csv ## Excel curl -H "Authorization: Bearer $APIFY_TOKEN" \ "https://api.apify.com/v2/datasets//items?format=xlsx&clean=1" -o workable-jobs.xlsx ``` **Into Google Sheets.** You have three good options: 1. **One-off:** download the CSV and use **File > Import > Upload** in Google Sheets. Choose "Replace current sheet" to refresh an existing tab. 2. **Automatic, no code:** in Make, Zapier or n8n, use the Apify app's "Watch Actor runs" (or "Run Actor") trigger, then "Get dataset items", then the Google Sheets "Add row" action. Every scheduled run then lands in your sheet. Apify's own [Google Sheets Import & Export](https://apify.com/lukaskrivka/google-sheets) Actor can also append a dataset to a sheet, and you can chain it to this Actor's runs with an integration. 3. **Formula:** `=IMPORTDATA("https://api.apify.com/v2/actor-tasks/~/runs/last/dataset/items?status=SUCCEEDED&format=csv&token=")` always pulls the latest successful run of a saved task. The token sits in the formula, so anyone who can open the sheet can see it. Only use this in a private sheet. ### Schedule it to run every day at 7:00 Job boards change every day. A daily run with `postedWithinDays` set to 1 or 2 gives you only the new roles, which keeps each run small and cheap. Because `jobId` is stable, you can also keep the full list and compare it with yesterday's to see which roles closed. 1. In the Actor's input form, set up the input from Step 1 and click **Save as new task**. Give it a clear name such as `workable-boards-daily`. 2. Go to **Schedules > Create new**, set the cron expression to `0 7 * * *` and pick your timezone, so it runs every day at 7:00. 3. Add the task to the schedule and save. Each run gets its own fresh dataset. 4. Optional: on the task's **Integrations** tab, add a webhook, Slack or email notification for "Run succeeded", or connect Make, Zapier or n8n, so the new rows go where you need them. To fetch the newest results without looking up a run ID, use the task's last-run link: `https://api.apify.com/v2/actor-tasks/~workable-boards-daily/runs/last/dataset/items?status=SUCCEEDED&format=json`. ### Call it from the API (Python, JavaScript or curl) You can start the Actor from your own code with the official Apify clients. Put your API token (Console > Settings > API & Integrations) in an environment variable called `APIFY_TOKEN` rather than in the code. **Python** (`pip install "apify-client>=3"`). Tested with apify-client 3.4: ```python import os from apify_client import ApifyClient client = ApifyClient(os.environ["APIFY_TOKEN"]) run_input = { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "remoteOnly": False, "maxJobsPerCompany": 8 } run = client.actor("mrslm_data/workable-jobs").call(run_input=run_input) ## apify-client 3.x returns a Run object, so use run.default_dataset_id for item in client.dataset(run.default_dataset_id).iterate_items(): print(item["company"], item["title"]) ``` In apify-client 3.x, `call()` returns a typed object. Older examples that use `run["defaultDatasetId"]` were written for 1.x and 2.x and fail in 3.x with `TypeError: 'Run' object is not subscriptable`. **JavaScript / Node.js** (`npm install apify-client`): ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); const input = { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "remoteOnly": false, "maxJobsPerCompany": 8 }; const run = await client.actor('mrslm_data/workable-jobs').call(input); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items.length, items[0]); ``` **curl**, one request that runs the Actor and returns the rows as CSV (it waits up to 5 minutes, so keep the input small): ```bash curl -X POST "https://api.apify.com/v2/acts/mrslm_data~workable-jobs/run-sync-get-dataset-items?format=csv" \ -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \ -d '{"companies": ["huggingface", "https://apply.workable.com/skroutz/", "epignosis"], "remoteOnly": false, "maxJobsPerCompany": 8}' -o workable-jobs.csv ``` ### What it costs The Actor uses pay-per-event pricing. **Job**: $1.00 per 1,000 on the Free and Bronze tiers, $0.90 on Silver and $0.80 on Gold. Each run also has a start fee of $0.00005 per GB of memory (one event at the default memory). You are not billed separately for compute on normal runs: the event prices are the whole bill. #### Price per event Current pay-per-event prices for this Actor on Apify, by Apify subscription plan: | Event (per 1,000) | Free / Bronze | Silver | Gold / Platinum / Diamond | |---|---|---|---| | Job (`job`) | $1.00 | $0.90 | $0.80 | | Actor start (once per run at the default memory, not per 1,000) | $0.00005 | $0.00005 | $0.00005 | You are charged only for the events in this table: nothing for compute, and nothing for searches that return no rows beyond the start fee. | Scenario | Free / Bronze | Silver | Gold | |---|---|---|---| | The run in this guide (22 jobs) | $0.0221 | $0.0198 | $0.0177 | | One snapshot of 100 Workable boards averaging 10 open jobs | $1.00 | $0.90 | $0.80 | | Daily new-roles feed over 100 boards, about 15 jobs a day (30 runs, 450 a month) | $0.45 | $0.41 | $0.36 | To cap spending, set **Maximum cost per run** in the run options (or `maxTotalChargeUsd` in the API). The Actor stops cleanly at the cap and you are never billed past it. ### Limits - It reads open jobs only. Closed roles are gone from the public board, so keep your own history if you need it. - Filters are plain keyword matches on the title, location or department text. `engineer` also matches "Engineering Manager" and "Solutions Engineer"; use `excludeTitleKeywords` to trim. - Descriptions are capped at 5,000 characters of plain text when `includeDescription` is on. - Workable boards only. For other systems use the [ATS Jobs Scraper](https://apify.com/mrslm_data/ats-jobs). - No salary: Workable's public feed does not publish one. Some companies mention pay in the description. - `function`, `seniority`, `education` and `workplaceType` are optional on Workable, so expect gaps. ### FAQ **Does it include salaries?** No. Workable's public jobs feed has no salary field. Turn on `includeDescription` and look in the text, where some companies state a range. **Can I get only remote jobs?** Yes. Set `remoteOnly` to true. Workable marks remote roles directly, so this is reliable. **What is the difference between department and function?** `department` is the company's own team name. `function` is Workable's standard job category, which is easier to compare across companies but not always filled in. **Do I need an API key or a login for the job board?** No. Every board this Actor reads is the public one behind the company's careers page. You only need your own Apify token to run the Actor. **Does it include recruiter or applicant data?** No. Only the public job ad. Application questions, recruiters and candidates are never read, and email addresses and phone numbers in descriptions are removed. **How fresh is the data?** Live. Each run reads the boards at that moment, so closed jobs disappear and new ones appear. **What happens if I mistype a company name?** That company is reported as not found in the run summary and costs nothing. The rest of the run carries on. **How do I get only new jobs every day?** Save your input as a task with `postedWithinDays` set to 1 and give it a daily schedule. For boards with irregular dates, set it to 2 and drop duplicates by `jobId`. **Can I run it on a schedule?** Yes. Save your input as a task and attach a schedule, as shown above. Each run is independent and returns the Workable jobs available at that moment. **Does it work with Make, Zapier or n8n?** Yes. All three have an Apify app. Use "Run Actor" (or run a saved task), then "Get dataset items" to pass the rows to the next step, such as Google Sheets, Airtable, a CRM or Slack. **Can AI agents use it through MCP?** Yes. Apify's hosted MCP server can expose this Actor as a tool to any MCP client (Claude Desktop, Cursor, VS Code and others). Add `https://mcp.apify.com/?tools=mrslm_data/workable-jobs` as a remote MCP server and sign in with your Apify account or API token. The agent fills in the same input fields shown above and gets the same rows back, billed at the same per-event prices. ### Is it legal? This Actor only reads pages and feeds that the website itself publishes to every visitor without a login. It obeys each site's robots.txt, keeps a polite request rate, and never tries to get past logins, paywalls, captchas or bot checks. It does not collect personal data such as emails, phone numbers or names of private individuals. You are responsible for how you use the data: follow the source site's terms, copyright and the privacy laws that apply to you (GDPR, CCPA, etc.). This tool is independent and not affiliated with or endorsed by the platforms it reads. # Actor input Schema ## `companies` (type: `array`): Workable board URLs or names. One per line. ## `titleKeywords` (type: `array`): Keep jobs whose title contains any of these words (e.g. engineer, sales). Empty = all jobs. ## `excludeTitleKeywords` (type: `array`): Drop jobs whose title contains any of these words (e.g. intern). ## `locationKeywords` (type: `array`): Keep jobs whose location or country contains any of these (e.g. London, Germany, remote). ## `departmentKeywords` (type: `array`): Keep jobs whose department or team contains any of these (e.g. engineering). ## `remoteOnly` (type: `boolean`): Keep only jobs marked remote. ## `postedWithinDays` (type: `integer`): Keep only jobs posted in the last N days. 0 = any date. ## `includeDescription` (type: `boolean`): Add the full job description as plain text (up to 5,000 characters). Makes rows larger. ## `newestFirst` (type: `boolean`): Sort each company's jobs by posting date, newest first (so per-company limits keep the newest). ## `maxJobsPerCompany` (type: `integer`): 0 = all open jobs. ## `maxResults` (type: `integer`): Safety cap on saved jobs across the whole run. 0 = no cap. Your max cost per run is always respected. ## `proxyConfiguration` (type: `object`): Usually not needed. ## Actor input object example ```json { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "remoteOnly": false, "postedWithinDays": 0, "includeDescription": false, "newestFirst": true, "maxJobsPerCompany": 10, "maxResults": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): All jobs as a dataset (JSON, CSV, Excel and more via the API or Console). ## `summary` (type: `string`): Jobs per board, boards that failed, and the stop reason. # 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 = { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "maxJobsPerCompany": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("mrslm_data/workable-jobs").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 = { "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis", ], "maxJobsPerCompany": 10, } # Run the Actor and wait for it to finish run = client.actor("mrslm_data/workable-jobs").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 '{ "companies": [ "huggingface", "https://apply.workable.com/skroutz/", "epignosis" ], "maxJobsPerCompany": 10 }' | apify call mrslm_data/workable-jobs --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrslm_data/workable-jobs" } } } ``` 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/k014r0cCCgQb4GY6g/builds/FBghfoc2dTcMv8nqg/openapi.json