hiring.cafe Job Scraper

What is hiring.cafe Job Scraper?

hiring.cafe gathers jobs from thousands of company career pages and reads each advert into structured fields: seniority, pay range, benefits, degree requirements, shifts, travel, the employer's size and funding. hiring.cafe Job Scraper hands you all of that, 92 fields a job, and lets you search with every filter the site has.

That last part is the reason to use it. The form has 87 filter fields, covering each control on hiring.cafe, so you can ask for "senior engineers at UK-headquartered companies of 51 to 200 people that sponsor visas" and get exactly those rows. If you'd rather set the search up on the site, paste its URL.

What backs that up:

• Each filter was checked against the rows it returned. On 5 October 2026, 40 of 40 rows matched for each choice tried, wherever the row has a column to check. Where it doesn't, the result was compared with the site's own count.
• You read requirements and benefits as fields, not prose. Four-day week, visa sponsorship, security clearance and years of experience are columns you can filter and count.
• Pay is marked as published or not. Pay figures appear only where the employer stated them: 127 of 196 rows in one measured run, and isPayTransparent tells you which.
• Listings are quick. Six searches of up to four pages returned 2,240 jobs in 34 seconds.

BonCross Verified means we tested this actor against the live site before release and kept the record:

• 103 of 103 live checks on its inputs and filters passed on 7 October 2026
• 1 search run the same day: 60 jobs, each with its advert text
• Charges matched the rows: 1 start, 1 search, 60 jobs

How to scrape hiring.cafe jobs

1. Create a free Apify account.
2. Open hiring.cafe Job Scraper.
3. Enter a keyword or a job title, and a location if you want one. Or paste a search URL copied from hiring.cafe.
4. Add filters from any group: role, pay, benefits, qualifications, schedule, company.
5. Set how many pages you want from each search and press Start.
6. Download the results as Excel, CSV or JSON. The rows are wide, so choose your columns before a CSV export.

What data can you extract from hiring.cafe?

Field	Field
💼 Job title, raw and normalised	🏢 Employer
📍 Location, cities, states, countries	Latitude and longitude
🏠 Workplace type	Open to anywhere
💷 Yearly pay from and to	Hourly pay from and to
Pay currency and frequency	Pay published by the employer
Seniority	Role type and commitment
Job category	Requirements summary
🎓 Education requirements by level	Fields of study
🧰 Technical tools	Language requirements
Licences and certifications	Minimum years of experience
Employer industries and activities	Employer size and founding year
💰 Employer funding and parent	Employer website
Four-day week	Generous paid time off
Generous parental leave	Retirement plan
Tuition reimbursement	Relocation assistance
🛂 Visa sponsorship	Military veterans welcome
Fair chance employer	🔒 Security clearance
Driving licence required	Overnight work
Weekend or holiday availability	✈️ Air and land travel
Physical demands and environment	📅 Posted date
🔗 Listing and apply links	📄 Full advert text (optional)
The hiring organisation the site matched	401(k) matching
Morning and evening shifts	Mostly sitting or standing

⬇️ Input

Start with one of three things: a "Keyword", a "Job title query", or a search URL from the site. Keyword matches the whole listing (title, company and advert). Job title query matches titles only, so it finds fewer: for "nurse", 151,900 matching jobs against 319,400 for the keyword.

"Location" takes a city, state, region or country. A city covers 50 miles around it. A state or a country also includes roles open to anywhere in its country, as the site does.

Depth is in pages. "Max pages per search" defaults to 5 and goes to 50, and a page holds roughly 60 to 140 jobs. "Max rows in total" caps the run, with 0 for no ceiling.

Paralegal roles

{
  "jobTitleQuery": "paralegal",
  "maxPagesPerSearch": 3
}

Roles paying at least $80,000 where the employer published the pay

{
  "jobTitleQuery": "software engineer",
  "onlyPayTransparent": true,
  "minYearlyPay": 80000,
  "maxItems": 500
}

Remote, full-time senior nursing roles in Texas

{
  "jobTitleQuery": "nurse",
  "location": "Texas",
  "workplaceTypes": ["Remote"],
  "commitmentTypes": ["Full Time"],
  "seniorityLevels": ["Senior Level"]
}

Recently posted roles whose advert mentions a specialism, with the full advert

{
  "jobTitleQuery": "analyst",
  "jobDescriptionQuery": "litigation",
  "postedWithinDays": 7,
  "sortBy": "date",
  "fetchDetails": true
}

Senior engineers at UK-headquartered companies of 51-200 people that sponsor visas

{
  "jobTitleQuery": "software engineer",
  "seniorityLevels": ["Senior Level"],
  "companyHqCountries": ["gb"],
  "companySizes": ["51-200"],
  "benefits": ["visa_sponsorship"]
}

Night-shift nursing roles needing no licence, paying at least $40 an hour

{
  "jobTitleQuery": "nurse",
  "overnightShiftWork": ["Required"],
  "noLicenseRequired": true,
  "payPeriod": "Hourly",
  "minPay": 40
}

A search copied from hiring.cafe

{
  "searchUrls": ["https://hiring.cafe/?searchState=%7B%22locations%22%3A%5B%5D%2C%22sortBy%22%3A%22date%22%2C%22jobTitleQuery%22%3A%22paralegal%22%7D"],
  "maxPagesPerSearch": 2
}

Pasted URLs and fields together

You can combine them. A filter field you set is applied on top of each pasted URL and replaces that filter in the URL. A field you leave empty keeps the URL's own setting. Keyword, Job title query, Location and Sort by come from the URL when you give one. "Posted within days", "Minimum yearly pay" and "Exclude expired listings" are checked on every row, pasted or not.

How the company filters match

Company filters match the organisation the site attributes the job to, which is on each row as hiringOrganization. It can differ from the company columns: a DeepMind role sits under Google. "Companies" also returns the companies the site relates to a name (Google brings Waymo and Verily). "Company keywords", "Requirements keywords" and the fields of study match related terms, as they do on the site.

All the filters, grouped as in the form

Leave a list empty and you keep everything. Leave a range bound empty and no limit applies. You won't need most of these on any one run.

Filters and sorting

Input	Field	What it does
postedWithinDays	Posted within days	Keep only jobs posted within this many days, measured against the posting date on each row. 0 means any age.
sortBy	Sort by	date (newest first) or relevance. Used only when no Search URL is given. Default date.
workplaceTypes	Workplace type	Keep only these workplace types.
commitmentTypes	Commitment	Keep only these commitment types.
seniorityLevels	Seniority	Keep only these seniority levels.
roleTypes	Role type	Keep individual-contributor roles, people-manager roles, or both.
departments	Department	Keep jobs in these departments (the site's own job categories).
minYearsExperience	Years of experience: from	Keep jobs asking for at least this many years of experience (0-20).
maxYearsExperience	Years of experience: to	Keep jobs asking for at most this many years (0-20; 20 means 20 or more).
requireYearsExperience	Experience must be stated	Drop jobs that do not state the years of experience they need.
minManagementYears	Management experience: from	Keep jobs asking for at least this many years of management or leadership experience (0-20).
maxManagementYears	Management experience: to	Keep jobs asking for at most this many years of management experience (0-20; 20 means 20 or more).
requireManagementYears	Management experience must be stated	Drop jobs that do not state the management experience they need.
applicationFormEase	Application process	Keep jobs with an easy application, a lengthy one, or both.
onlyHiddenJobs	Only jobs the site hides	Return only the listings the site hides by default: suspected scams, offshore consulting shops, external recruiting agencies, staff augmentation, test postings and others.
hiddenJobCategories	Hidden kinds	With "Only jobs the site hides" on, return only these hidden kinds.
excludeExpired	Exclude expired listings	Drop listings the site has marked expired. Default on.

Title, company and description filters

Input	Field	What it does
jobDescriptionQuery	Job description query	Same query syntax as the job title query, matched against the advert text.
technologyKeywordsQuery	Technology keywords	Keep jobs that list these tools or technologies, e.g. python OR kubernetes. Related tools count, as on the site.
requirementsKeywordsQuery	Requirements keywords	Keep jobs whose requirements mention these words, e.g. phd.
companyNames	Companies	Keep only jobs at these employers, by name.
excludedCompanyNames	Exclude companies	Drop jobs at these employers.

Pay and benefits

Input	Field	What it does
onlyPayTransparent	Only listings that state pay	Keep only listings where the employer published a pay figure.
minYearlyPay	Minimum yearly pay	Drop listings whose stated yearly pay is below this. 0 keeps everything.
payPeriod	Pay per	The unit of the four pay bounds below: Hourly, Daily, Weekly, Bi-Weekly, Monthly or Yearly.
minPay	Pay at least	Keep jobs whose pay range reaches at least this (the top of the range), in the "Pay per" unit and the currency the listing states.
minPayRangeStart	Pay range starts at or above	Keep jobs whose lowest stated pay is at least this.
maxPayRangeStart	Pay range starts at or below	Keep jobs whose lowest stated pay is at most this.
maxPayRangeEnd	Pay range ends at or below	Keep jobs whose highest stated pay is at most this.
payCurrency	Listed currency	Keep jobs whose pay is stated in this currency.
payFrequency	Listed pay period	Keep jobs whose pay is stated per this period (as the advert states it, not converted).
benefits	Benefits and perks	Keep jobs whose advert mentions every one of these.

Qualifications

Input	Field	What it does
associatesDegreeRequirements	Associate's degree	Keep jobs whose associate's degree is stated as one of these.
associatesDegreeFieldsOfStudy	Associate's degree: fields of study	Keep jobs asking for an associate's degree in one of these fields, e.g. computer science or nursing. Related fields count.
excludedAssociatesDegreeFieldsOfStudy	Associate's degree: exclude fields of study	Drop jobs asking for an associate's degree in any of these fields.
bachelorsDegreeRequirements	Bachelor's degree	Keep jobs whose bachelor's degree is stated as one of these.
bachelorsDegreeFieldsOfStudy	Bachelor's degree: fields of study	Keep jobs asking for a bachelor's degree in one of these fields, e.g. computer science or nursing. Related fields count.
excludedBachelorsDegreeFieldsOfStudy	Bachelor's degree: exclude fields of study	Drop jobs asking for a bachelor's degree in any of these fields.
mastersDegreeRequirements	Master's degree	Keep jobs whose master's degree is stated as one of these.
mastersDegreeFieldsOfStudy	Master's degree: fields of study	Keep jobs asking for a master's degree in one of these fields, e.g. computer science or nursing. Related fields count.
excludedMastersDegreeFieldsOfStudy	Master's degree: exclude fields of study	Drop jobs asking for a master's degree in any of these fields.
doctorateDegreeRequirements	Doctorate degree	Keep jobs whose doctorate degree is stated as one of these.
doctorateDegreeFieldsOfStudy	Doctorate degree: fields of study	Keep jobs asking for a doctorate degree in one of these fields, e.g. computer science or nursing. Related fields count.
excludedDoctorateDegreeFieldsOfStudy	Doctorate degree: exclude fields of study	Drop jobs asking for a doctorate degree in any of these fields.
licensesAndCertifications	Licences and certifications	Keep jobs asking for one of these, e.g. CISSP or RN. Related credentials count.
excludedLicensesAndCertifications	Exclude licences and certifications	Drop jobs asking for any of these, written exactly as the site lists them (lower case, e.g. registered nurse (rn)).
noLicenseRequired	No licence or certification required	Keep only jobs that ask for no licence or certification.
securityClearances	Security clearance	Keep jobs needing one of these clearances.
languageRequirements	Languages	Keep jobs that ask for these languages.
languageRequirementsOperator	Languages: match	With several languages chosen: any of them, or all of them.
excludeJobsWithAdditionalLanguages	No other languages	With languages chosen, drop jobs that also ask for a language not chosen.
excludedLanguageRequirements	Exclude languages	Drop jobs that ask for any of these languages.
encouragedToApply	Encouraged to apply	Keep jobs that explicitly welcome these applicants.

Shifts, travel and working conditions

Input	Field	What it does
morningShiftWork	Morning / day shift	Keep jobs whose morning shift is stated as one of these.
eveningShiftWork	Evening / second shift	Keep jobs whose evening shift is stated as one of these.
overnightShiftWork	Overnight / third shift	Keep jobs whose overnight shift is stated as one of these.
weekendAvailability	Weekend availability	Keep jobs that require weekend work, or that do not mention it.
holidayAvailability	Holiday availability	Keep jobs that require holiday work, or that do not mention it.
overtime	Overtime	Keep jobs that require overtime, or that do not mention it.
onCallRequirements	On call	Keep jobs with one of these on-call requirements.
airTravelRequirement	Air travel	Keep jobs with one of these amounts of air travel.
landTravelRequirement	Land travel	Keep jobs with one of these amounts of driving or other land travel.
physicalEnvironments	Work environment	Keep jobs in one of these environments.
physicalLaborIntensity	Physical labour	Keep jobs with one of these levels of physical labour.
physicalPositions	Mostly sitting or standing	Keep jobs done mostly in one of these positions.
oralCommunicationLevels	Speaking with people	Keep jobs with one of these levels of spoken communication.
computerUsageLevels	Computer use	Keep jobs with one of these levels of computer use.
cognitiveDemandLevels	Mental demand	Keep jobs with one of these levels of cognitive demand.

Company

Input	Field	What it does
companyHqCountries	Company headquarters	Keep jobs at companies headquartered in these countries.
excludedCompanyHqCountries	Exclude company headquarters	Drop jobs at companies headquartered in these countries.
industries	Industries	Keep jobs at companies in these industries, as the site names them, e.g. Software & SaaS.
excludedIndustries	Exclude industries	Drop jobs at companies in these industries.
companyKeywords	Company keywords	Keep jobs at companies whose description matches these words, e.g. fintech or robotics.
companyKeywordsOperator	Company keywords: match	With several company keywords: any of them, or all of them.
excludedCompanyKeywords	Exclude company keywords	Drop jobs at companies whose description matches any of these.
organizationTypes	Organisation type	Keep jobs at these kinds of organisation.
excludedOrganizationTypes	Exclude organisation types	Drop jobs at these kinds of organisation.
usaGovJobs	US federal jobs	Listings from USAJobs.gov: only those (exclusive) or none of them (exclude). Empty includes them with the rest.
companySizes	Company size	Keep jobs at companies with this many employees.
minYearFounded	Founded in or after	Keep jobs at companies founded in or after this year.
maxYearFounded	Founded in or before	Keep jobs at companies founded in or before this year.
latestInvestmentSeries	Latest funding round	Keep jobs at companies whose latest funding round is one of these.
excludedLatestInvestmentSeries	Exclude latest funding rounds	Drop jobs at companies whose latest funding round is one of these.
minLatestFundingYear	Last raised in or after	Keep jobs at companies whose latest funding round was in or after this year.
maxLatestFundingYear	Last raised in or before	Keep jobs at companies whose latest funding round was in or before this year.
minLatestFundingAmount	Funding raised at least	Keep jobs at companies whose recorded funding raised is at least this amount (US dollars).
investors	Investors	Keep jobs at companies backed by these investors, e.g. Sequoia Capital.
excludedInvestors	Exclude investors	Drop jobs at companies backed by any of these investors.

What each row includes

Input	Field	What it does
fetchDetails	Fetch full job adverts	Open each job for its full advert text; the search alone returns only a short requirements summary.
includeDescription	Include advert text	Include the advert as plain text. Needs fetchDetails. Default on.
includeDescriptionHtml	Include advert HTML	Also include the advert's original HTML. Makes rows considerably larger.

For developers

• The other input keys are searchUrls, searchQuery (Keyword), jobTitleQuery, location, maxPagesPerSearch and maxItems.
• When your filters keep nothing (a pay floor no advert reaches, for example), a search stops early: after 5 pages in a row with no job kept, or after about three times the pages the remaining row limit needs.
• postedWithinDays is measured against postedAt on each row. Asking for one day returns jobs posted in the last 24 hours. Jobs with no posting date are kept.
• A page that can't be read writes one row with search, page and error, and that search stops there.
• Past roughly 40 result pages in a run, hiring.cafe stops answering for a few minutes. Full adverts don't count toward that.
• A job filtered out before its advert is fetched isn't charged. A job fetched with its advert and then dropped as expired is billed job-detail.

⬆️ Output

You get one row per job, with 92 fields (94 with the advert text and HTML). The Overview view shows title, employer, location, pay and dates.

{
  "id": "ashby___ramp___314d4881-e8f2-4e61-a102-3469f9566759",
  "title": "Senior Corporate Paralegal",
  "company": "Ramp",
  "url": "https://hiring.cafe/job/3sbeohz23zn2il74",
  "requisitionId": "3sbeohz23zn2il74",
  "applyUrl": "https://jobs.ashbyhq.com/ramp/314d4881-e8f2-4e61-a102-3469f9566759",
  "location": "New York City or San Francisco",
  "workplaceType": "Hybrid",
  "seniority": "Senior Level",
  "commitment": ["Full Time"],
  "yearlyMinPay": 185000,
  "yearlyMaxPay": 250000,
  "payCurrency": "USD",
  "payFrequency": "Yearly",
  "isPayTransparent": true,
  "companyIndustries": ["Software & SaaS", "Payments & Fintech"],
  "companyEmployees": 2555,
  "requirementsSummary": "6+ years corporate paralegal experience at a major law firm or in-house…",
  "technicalTools": ["Shareworks"],
  "visaSponsorship": false,
  "retirementPlan": true,
  "securityClearance": "None",
  "postedAt": "2026-09-26T12:16:55.392Z",
  "search": "paralegal",
  "scrapedAt": "2026-09-26T17:16:43.438Z"
}

Here's every column by name. The requirement, benefit and work-pattern columns are hiring.cafe's own reading of the advert, returned as the site gives them.

Group	Columns
The job	titleRaw (as the employer wrote it), coreTitle, jobCategory, roleType, roleActivities, requisitionId, isExpired
Where	cities, states, countries, lat, lng, isWorldwideOk
Pay	hourlyMinPay, hourlyMaxPay (beside the yearly figures)
Education	associatesRequirement, associatesFields, bachelorsRequirement, bachelorsFields, mastersRequirement, mastersFields, doctorateRequirement, doctorateFields, isHighSchoolRequired
Experience and skills	minYearsExperience, minManagementYears, languageRequirements, licencesOrCertifications
Conditions	securityClearance, isDriverLicenceRequired, airTravelRequirement, landTravelRequirement, onCallRequirement, morningShiftWork, eveningShiftWork, overnightWork, overtimeRequired, weekendAvailabilityRequired, holidayAvailabilityRequired
The work itself	physicalEnvironment, physicalLabourIntensity, physicalPosition, oralCommunication, cognitiveDemand, computerUsage
Benefits	matching401k, fourDayWorkWeek, generousPaidTimeOff, generousParentalLeave, tuitionReimbursement, relocationAssistance, visaSponsorship, militaryVeterans, fairChance
The employer	companyTagline, companyActivities, companyType, companyCountry, companyFounded, companyWebsite, companyParent, companyStockSymbol, companyLatestFundingAmount, companyLatestFundingType, companyLatestFundingYear, companyInvestors, employerType
The hiring organisation	hiringOrganization: the organisation the site attributes the job to and that its company filters match: name, website, hqCountry, organizationType, employees, yearFounded, industries, activities, parentCompany, latestFundingType, latestFundingYear, totalFundingRaised, leadInvestors, stockSymbol
Where it came from	source (the careers platform the job was published on), boardToken, search
The advert (optional)	description, descriptionHtml, and detailError when an advert could not be fetched

How much does it cost to scrape hiring.cafe?

Event	Free plan	Starter	Scale	Business
actor-start, per run	$0.002	$0.002	$0.002	$0.002
search-run, per search the run starts	$0	$0	$0	$0
job-detail, per job written with its full advert, or fetched with its advert and then dropped as expired	$0.001	$0.0009	$0.0008	$0.0007
job-listed, per job row written without the advert (adverts off, or an advert that could not be fetched)	$0.0005	$0.00045	$0.0004	$0.00035

Enterprise plans pay the Business price.

$1.00 per 1,000 jobs with the full advert on the Free plan, $0.70 on Business. Listing-only rows are $0.50 per 1,000 on the Free plan and $0.35 on Business. A job is billed as one or the other, never both, and proxy usage and platform usage are included.

• Two pages with full adverts for 80 jobs: $0.002 + 80 × $0.001 = $0.082 ($0.058 on Business).
• Four searches of up to three pages, listings only, 1,064 jobs: $0.002 + 1,064 × $0.0005 = $0.534 ($0.374 on Business).

Error rows are never charged.

The structured fields are already in the listing row. Unless you need the advert's wording, we'd leave "Fetch full job adverts" off: it's half the price and far faster.

Apify's Free plan includes $5 of credits each month. That's about 9,900 listing-only jobs, or about 4,900 with the full advert.

How deep can a run go, and how fast?

Whole runs on Apify, 2 to 7 October 2026:

Run	Jobs returned	Time
1 page	65 to 139	2 to 5 seconds
4 searches × up to 3 pages	474	9 seconds
1 page, full adverts for 60 jobs	60	35 seconds
2 pages, full adverts for 80 jobs	80	46 seconds
4 searches × up to 3 pages, listings only	1,064	17 seconds
6 searches × up to 4 pages, listings only	2,240	34 seconds
10 searches × up to 5 pages, listings only	4,142 (43 of 50 pages)	3 minutes 24 seconds

One of our searches reported 3,890 matching jobs, so what limits you is the page count you set. Rows average 3.3 KB without the advert, and adverts ran from 1,298 to 20,673 characters.

On a 196-row run, 63 fields were filled on every row, including title, employer, location, workplace type, seniority, pay currency, all the benefit flags and the requirements summary. Pay figures were on 127 of 196, exactly the rows whose employer published pay. Coordinates were on 188 and the employer's founding year on 183. The thinnest fields are the employer funding details (28 to 40), the stock symbol (18) and minimum management years (2).

Limits worth planning around

• About 40 result pages a run. Beyond that hiring.cafe stops answering for a few minutes. A search it refused ends with a row that has error, and the rows you already have are kept. Measured: 10 searches × 5 pages returned 43 of 50 pages (4,142 jobs). For more, split your searches across runs a few minutes apart.
• Full adverts add about half a second per job, or roughly 120 adverts a minute (80 adverts took 46 seconds).
• A search with no location isn't limited to a place. A place that can't be found ends that search with an error row. It doesn't fall back to a worldwide search.
• Search URLs must be copied from hiring.cafe. One written by hand, especially with a location in it, may return unfiltered results.
• An advert that can't be read still returns the job, without its description and billed at the listing price. The row keeps its listing fields and has detailError.
• Thin fields. Employer funding, parent company, stock symbol and fields of study are present on a minority of rows, and minimum management years is almost always empty. Most employers leave them blank.
• Some adverts end in an ellipsis because the employer's own feed shortened them.
• No applications. The actor can't submit one.

FAQ

What's the difference between the three search boxes?

"Keyword" matches the whole listing. "Job title query" matches the title. "Job description query" matches what the advert says, which is how you find roles with a generic title and a specialism in the text.

Why does a company filter return a job whose company is different?

The filter matches hiringOrganization, the organisation the site attributes the job to. On about one job in seven that differs from the company columns, for example a DeepMind role listed under Google.

Does "Only jobs the site hides" add them to my results?

It returns only those. hiring.cafe leaves out suspected scams, offshore consulting shops, recruiting agencies, staff augmentation and test postings by default. This option gives you just that set, so you can review it separately.

Why do some yes-or-no fields contain words?

That's how the source records them. A degree field may say "Not Mentioned", and a security clearance "None". "Not Mentioned" isn't the same as the employer saying no degree is needed, so the wording is kept.

Why is the pay empty on some jobs?

Those employers didn't publish it. Turn on "Only listings that state pay" to drop them.

Can I paste a search I built on the site?

Copy the URL from your browser's address bar into "Search URLs". All the site's filters travel with it, and any filter fields you set here are applied on top.

Do I need a proxy or a hiring.cafe account?

Nothing to configure and nothing to log in to. Any proxy usage is included in the price.

Is scraping hiring.cafe legal?

The listings are published openly and the actor reads them without an account. Reading openly published data is generally lawful in the UK and the EU. You're responsible for what you do with it, including under UK GDPR where a record identifies a person.

Using it from your own tools

With this many columns, most people send the rows to a database or a warehouse: Airbyte and webhooks handle that, and Google Sheets works if you pick your columns first. Schedule the run in Apify Console to keep a board or a pay benchmark current.

From code, Apify's run-sync-get-dataset-items endpoint runs the actor and returns the rows in one request. apify-client exists for Python and JavaScript, and the API tab on the actor page shows the calls with your token in place.

AI agents get it as a tool through the Apify MCP server (https://mcp.apify.com). The structured fields suit them: an agent can ask for remote roles with a four-day week and compare the published pay without reading a single advert.

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Your feedback

If a filter returns a row that shouldn't be there, that's the report we most want. Send the input and the row's id through the Issues tab in Apify Console. BonCross reads every issue.