# Reed Jobs Scraper (Cheap) (`data_api/reed-jobs-scraper-cheap`) Actor Scrape complete job postings, salary ranges, and company profiles from Reed.co.uk. Supports bulk search keyword matrices and direct URLs. Features built-in premium network bypass systems to prevent IP blocks and captchas out of the box no proxy configuration required. - **URL**: https://apify.com/data\_api/reed-jobs-scraper-cheap.md - **Developed by:** [Data API](https://apify.com/data_api) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Reed Jobs Scraper ![Reed Jobs Scraper](cover.jpg) Pulling jobs off Reed.co.uk by hand is slow work: you open each advert, copy the title and salary, note the company and location, then paste it all into a sheet. This scraper skips that. Give it a Reed search URL, or just a few roles and cities, and every matching job comes back as a clean row with the salary, employer, location, and full description already split into fields. Run one search or a whole batch of role-and-city pairings, and pay only for the jobs you pull. ### What you get Each job advert becomes one row with a steady set of fields, grouped like this: - **Role** — `roleTitle`, `roleSummary`, `listingUrl`, `jobPostId`, `workMode`, `fullTime`, `partTime`, `quickApply` - **Employer** — `employerName`, `employerUrl`, `employerLogo` - **Location** — `placeName`, `regionName` - **Pay** — `payMin`, `payMax`, `payText` - **Dates** — `postedAt`, `updatedAt`, `expiresAt`, `collectedAt` ### Quick start 1. Open Reed.co.uk, run the search you want, and copy the URL from your browser. Paste it into **Reed search or listing URLs** — or skip the URL and fill in **Search terms** and **Job locations** instead. 2. Set **Jobs per URL or query** to cap how many jobs each search returns. 3. Press **Start**. 4. Export the results as JSON, CSV, Excel, or XML when the run finishes. ![How it works](how-it-works.jpg) ### Use cases - **Job board aggregation** — keep a niche or regional job site stocked with fresh UK postings - **Hiring demand tracking** — watch which roles and skills employers are advertising, and where - **Salary benchmarking** — compare pay ranges for the same role across cities and work modes - **Recruitment lead generation** — find companies actively hiring for the skills you place - **Labour market research** — build a dataset of live vacancies for analysis or reporting ### Input You can drive the scraper two ways: paste Reed URLs directly, or give it search terms and locations and let it build the searches for you. If you supply both terms and locations, it pairs every term with every location and runs each pairing on its own. | Field | Type | Required | Description | |-------|------|----------|-------------| | `jobSearchUrls` | array of strings | No | Reed.co.uk search or listing URLs to scrape, one per line. When set, the search terms and locations are skipped. Prefilled with a Manchester Python developer search. | | `searchTerms` | array of strings | No | Roles, skills, or employer names to look up. Only read when `jobSearchUrls` is empty. | | `jobLocations` | array of strings | No | UK towns, cities, or postcodes to search within. Only read when `jobSearchUrls` is empty. | | `resultsPerQuery` | integer | No | Jobs to pull per URL or search pairing. Default `50`, up to `1000`. | | `timeoutSeconds` | integer | No | Seconds to wait on each request before giving up. Default `45`. | #### Example input ```json { "jobSearchUrls": [], "searchTerms": [ "Product Manager", "UX Designer" ], "jobLocations": [ "Manchester", "Leeds" ], "resultsPerQuery": 50, "timeoutSeconds": 45 } ```` ### Output Every job from your searches becomes one row, paginated automatically until the per-query limit is reached or the results run out. Fields that an advert does not publish come back as `null`, so your columns stay the same from row to row. #### Example output ```json { "jobPostId": 56867019, "roleTitle": "Senior Software Engineer", "roleSummary": "We are looking for a Senior Software Engineer to join our platform team...", "listingUrl": "https://www.reed.co.uk/jobs/senior-software-engineer/56867019", "employerName": "Vermillion Analytics", "employerUrl": "https://www.reed.co.uk/jobs/vermillion-analytics/p100633", "employerLogo": "https://resources.reed.co.uk/profileimages/logos/thumbs/Logo_100633.png", "placeName": "Manchester", "regionName": "Greater Manchester", "payMin": 60000, "payMax": 75000, "payText": "£60,000 - £75,000 per annum", "workMode": "Hybrid", "fullTime": true, "partTime": false, "quickApply": true, "postedAt": "2026-05-06T14:09:00.507", "updatedAt": "2026-05-18T14:17:17.513", "expiresAt": "2026-06-17T23:59:59", "collectedAt": "2026-06-30T04:22:42.503Z" } ``` #### Output fields | Field | Type | Description | |-------|------|-------------| | `jobPostId` | integer | Reed's own numeric ID for the job post | | `roleTitle` | string | Headline of the advertised role | | `roleSummary` | string | Full write-up of the role, duties, and requirements | | `listingUrl` | string | Direct link to the job post page on Reed | | `employerName` | string | Company or recruitment agency behind the advert | | `employerUrl` | string | Link to the employer's profile page on Reed | | `employerLogo` | string | Link to the employer's logo image when published | | `placeName` | string | Main location label shown on the advert | | `regionName` | string | County or wider region the role sits in | | `payMin` | integer | Bottom of the stated salary range, when given | | `payMax` | integer | Top of the stated salary range, when given | | `payText` | string | Salary written out in plain language with its rate period | | `workMode` | string | How the role is worked: Remote, Hybrid, or On-site | | `fullTime` | boolean | True when the role is advertised as full-time | | `partTime` | boolean | True when the role is advertised as part-time | | `quickApply` | boolean | True when the post accepts Reed's one-step application | | `postedAt` | string | ISO timestamp for when the advert first went live | | `updatedAt` | string | ISO timestamp for the most recent edit | | `expiresAt` | string | ISO timestamp for when the advert is due to close | | `collectedAt` | string | ISO timestamp marking when the row was captured | ### Tips for best results - **Use a real Reed URL when you can.** Running a search on Reed.co.uk and pasting the URL gives you the exact filters you want; search terms and locations are the quick path when you do not have a URL handy. - **Keep `resultsPerQuery` modest on test runs.** Try 20 to 50 first to confirm the fields fit your pipeline, then raise it for the full pull. The limit applies per URL or pairing, so each search gets a fair share. - **Mind the pairing math.** Five search terms across four locations is twenty separate searches; the run grows quickly, so size it before you start. - **Raise `timeoutSeconds`** toward 60 if you see requests timing out on slow pages. - **Salary fields can be empty.** When an advert lists "Competitive" instead of a figure, `payMin` and `payMax` come back as `null` while `payText` still carries the wording. ### How can I use Reed job data? **How can I use the Reed Jobs Scraper to track hiring demand across UK cities?** Give it your target roles in `searchTerms` and a list of cities in `jobLocations`. It pairs each role with each city and returns every matching advert as a row with `roleTitle`, `employerName`, `placeName`, and `payText`. Group the rows by city or role to see where hiring is heaviest and which skills come up most. **How can I scrape Reed.co.uk salaries for benchmarking?** Each row carries `payMin`, `payMax`, and a readable `payText`, alongside `workMode` and `placeName`. Pull a batch of adverts for one role, then compare pay ranges by location or by remote, hybrid, and on-site work to build a current salary picture for that role. **How can I export Reed job listings into a spreadsheet or CRM?** Run the scraper, then download the dataset as CSV or Excel, or push it straight into a database or CRM through Apify's integrations. Every advert is one flat row with the employer, link, location, and dates already split out, so it drops into your tools without extra cleanup. **How can I collect Reed recruitment leads for an agency?** Search the skills you place for, and the output gives you `employerName` and `employerUrl` for each company advertising right now. Filter for the roles you specialise in and you have a live list of employers worth a conversation. ### Is it legal to scrape data? Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read Apify's blog post on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). ### Support Questions, feature requests, or a field you'd like added? Reach out at and we'll get back to you. # Actor input Schema ## `jobSearchUrls` (type: `array`): Paste Reed.co.uk search result or job listing URLs straight from your browser, one per line. When this list has anything in it, the search terms and locations below are skipped. ## `searchTerms` (type: `array`): Roles, skills, or employer names to look up, one per line. Only read when the URL list above is left empty. ## `jobLocations` (type: `array`): UK towns, cities, or postcodes to search within, one per line. Only read when the URL list above is left empty. ## `resultsPerQuery` (type: `integer`): How many jobs to pull for each individual URL or search pairing before moving to the next one. ## `timeoutSeconds` (type: `integer`): How long to wait on each page request before giving up. Raise it if pages load slowly. ## Actor input object example ```json { "jobSearchUrls": [ "https://www.reed.co.uk/jobs/python-developer-jobs-in-manchester", "https://www.reed.co.uk/jobs?keywords=ux+designer&location=bristol" ], "searchTerms": [ "Product Manager", "UX Designer" ], "jobLocations": [ "Manchester", "Leeds", "Edinburgh" ], "resultsPerQuery": 25, "timeoutSeconds": 45 } ``` # 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 = { "jobSearchUrls": [ "https://www.reed.co.uk/jobs/python-developer-jobs-in-manchester" ], "searchTerms": [ "Product Manager" ], "jobLocations": [ "Manchester" ] }; // Run the Actor and wait for it to finish const run = await client.actor("data_api/reed-jobs-scraper-cheap").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 = { "jobSearchUrls": ["https://www.reed.co.uk/jobs/python-developer-jobs-in-manchester"], "searchTerms": ["Product Manager"], "jobLocations": ["Manchester"], } # Run the Actor and wait for it to finish run = client.actor("data_api/reed-jobs-scraper-cheap").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "jobSearchUrls": [ "https://www.reed.co.uk/jobs/python-developer-jobs-in-manchester" ], "searchTerms": [ "Product Manager" ], "jobLocations": [ "Manchester" ] }' | apify call data_api/reed-jobs-scraper-cheap --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_api/reed-jobs-scraper-cheap", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reed Jobs Scraper (Cheap)", "description": "Scrape complete job postings, salary ranges, and company profiles from Reed.co.uk. Supports bulk search keyword matrices and direct URLs. Features built-in premium network bypass systems to prevent IP blocks and captchas out of the box no proxy configuration required.", "version": "0.0", "x-build-id": "6LNmoZelbW3eWadJb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data_api~reed-jobs-scraper-cheap/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data_api-reed-jobs-scraper-cheap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data_api~reed-jobs-scraper-cheap/runs": { "post": { "operationId": "runs-sync-data_api-reed-jobs-scraper-cheap", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data_api~reed-jobs-scraper-cheap/run-sync": { "post": { "operationId": "run-sync-data_api-reed-jobs-scraper-cheap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "jobSearchUrls": { "title": "Reed search or listing URLs", "type": "array", "description": "Paste Reed.co.uk search result or job listing URLs straight from your browser, one per line. When this list has anything in it, the search terms and locations below are skipped.", "items": { "type": "string" } }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Roles, skills, or employer names to look up, one per line. Only read when the URL list above is left empty.", "items": { "type": "string" } }, "jobLocations": { "title": "Job locations", "type": "array", "description": "UK towns, cities, or postcodes to search within, one per line. Only read when the URL list above is left empty.", "items": { "type": "string" } }, "resultsPerQuery": { "title": "Jobs per URL or query", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many jobs to pull for each individual URL or search pairing before moving to the next one.", "default": 25 }, "timeoutSeconds": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 120, "type": "integer", "description": "How long to wait on each page request before giving up. Raise it if pages load slowly.", "default": 45 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```