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How To Scrape Indeed.com [2023]

In this guide for our "How To Scrape" series, we're going to look at how to scrape Indeed.com.

Indeed is one of the most popular jobs listing websites so it a great website to scrape if you want data on job listings, the state of the jobs market, or company hiring patterns.

So in this guide we will go through:

How To Build A Indeed Job Search Scraper​

The first part of scraping Indeed is designing a web crawler that will search Indeed for job listing matching specific criteria (normally, job title and location).

How To Scrape Indeed.com Search Pages

With Indeed.com the easiest way to do this is to use the Indeed Search page which returns up to 10 jobs per page.

For example, here is how we would get search results for software engineer in California.


Unencoded --> 'https://www.indeed.com/jobs?q=software engineer&l=San Francisco&start=0&filter=0'

Encoded --> 'https%3A%2F%2Fwww.indeed.com%2Fjobs%3Fq%3Dsoftware%20engineer%26l%3DSan%20Francisco%26start%3D0%26filter%3D0'

This URL contains a number of parameters that we will explain:

  • q stands for the search query. In our case, q=software engineer. Note: If you want to search for a keyword that contains spaces or special characters then remember you need to encode this value. (Encoded: q%3Dsoftware%20engineer)
  • l stands for the location you want to search for jobs. In our case, we used l=California.
  • start stands for the starting point for the pagination. We use the start parameter to paginate through results.

Using these parameters we can customise our requests to the Indeed Job Search endpoint to either scrape overall job data or get job URLs that we can scrape individually.

With Indeed.com it is actually very easy to extract the data we need as the data is available as hidden JSON data on the page.

How To Scrape Indeed.com - Hidden JSON Blob

The Indeed job data is contained in the <script id="mosaic-data" type="text/javascript"> tag, under window.mosaic.providerData["mosaic-provider-jobcards"].


<script id="mosaic-data" type="text/javascript">
    ...
    
    window.mosaic.providerData["mosaic-provider-jobcards"]={"metaData":{"mosaicProviderJobCardsModel":{"adSignature":"3573","appName":"jasx","applyHolisticStyle":true,"bot":false,"brandedAds":[],"csrfToken":"VfkW0LdLxAXrjIkxOeasTnBCW8vSv9TE","encryptedQueryData":"RnZhMybXSk4M3QtTVGXWoe9dbTL46KyFjV9_vwSAcQxuziQ2QCDK8B6B0pUnV6xlgzK1HVOkc0tMGyUpMO9yEdnbun4jJaS6CbMzioz2PqM","experienceLevelFilterRefineBy":"","fccId":-1,"hasResume":false,"indeedApplyOnlyFilterUsed":false,"ipCountry":"IE","isDesktop":true,"isHighContrastIconShown":true,"isIpadApp":false,"isJobCardShelfApplied":true,"isTablet":false,"jobSeenLogParameters":{},"linkTargetAttribute":"_blank","loggedIn":false,"mobtk":"1ge736cml2gra002","mosaicNonJobContent":[],"mustShowSponsoredLabel":false,"myIndeedEnabled":true,"myIndeedRegisterLink":"https://www.indeed.com/account/register?dest=%2Fjobs%3Fjson%3D1%26q%3Dpython%26vjk%3D532734731891698b%26l%3DTexas","noJsUrlOnly":false,"overrideShelf":true,"pageNumber":1,"prforceGroups":"","proctorContext":{"accountId":-1,"app":false,"country":"US","ctkAge":72611863,"ctkDate":"20220929","hasRez":false,"lang":"en","loggedIn":false,"mtkAge":72611863,"platform":"","privileged":false,"smartphone":false,"stealthGroups":[],"tablet":false,"uaData":"{\"android\":false,\"androidApp\":false,\"androidEmployerApp\":false,\"androidJobSearchApp\":false,\"app\":false,\"bot\":false,\"browser\":\"CHROME\",\"browserFamily\":\"CHROME\",\"browserReleaseVersion\":{\"matchPrecision\":\"BUILD\",\"version\":29554872554618880},\"browserVersion\":{\"majorVersion\":\"105\",\"minorVersion\":\"-1\",\"version\":\"105\"},\"chrome\":true,\"chromeForIOS\":false,\"currentJobseekerDeprecatedBrowser\":false,\"deviceType\":\"COMPUTER\",\"droidRezUploadDialog\":false,\"dumbPhone\":false,\"employerApp\":false,\"fileUploadCapable\":true,\"futureJobseekerDeprecatedBrowser\":false,\"geolocationCapable\":false,\"googleWebLight\":false,\"ios\":false,\"iosemployerApp\":false,\"iosjobSearchApp\":false,\"ipad\":false,\"ipadApp\":false,\"ipadJobSearchApp\":false,\"jobSearchApp\":false,\"mobileDevice\":false,\"operatingSystem\":\"WINDOWS\",\"os\":{\"family\":\"windows\",\"majorVersion\":-1,\"minorVersion\":-1,\"osFamily\":\"windows\",\"osVersion\":{\"matchPrecision\":\"BUILD\",\"version\":0},\"patchVersion\":-1,\"releaseVersion\":{\"matchPrecision\":\"BUILD\",\"version\":0},\"version\":\"\"},\"phone\":false,\"releaseVersion\":{\"matchPrecision\":\"BUILD\",\"version\":29554872554618880},\"safari\":false,\"safariForIOS\":false,\"smartPhone\":false,\"tablet\":false,\"uaVersion\":{\"matchPrecision\":\"BUILD\",\"version\":29554872554618880},\"userAgentDelegate\":{\"android\":false,\"bot\":false,\"browser\":\"CHROME\",\"browserName\":\"Chrome\",\"browserReleaseVersion\":{\"matchPrecision\":\"BUILD\",\"version\":29554872554618880},\"browserVersion\":{\"majorVersion\":\"105\",\"minorVersion\":\"-1\",\"version\":\"105\"},\"browserVersionString\":\"105\",\"chrome\":true,\"delegate\":{\"allFields\":{\"DeviceClass\":{\"confidence\":500,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Desktop\"},\"DeviceName\":{\"confidence\":400001,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Desktop\"},\"DeviceBrand\":{\"confidence\":0,\"defaultValue\":\"Unknown\",\"isDefaultValue\":true,\"value\":\"Unknown\"},\"OperatingSystemClass\":{\"confidence\":400001,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Desktop\"},\"OperatingSystemName\":{\"confidence\":400001,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Windows NT\"},\"OperatingSystemVersion\":{\"confidence\":400001,\"defaultValue\":\"??\",\"isDefaultValue\":true,\"value\":\"??\"},\"OperatingSystemVersionMajor\":{\"confidence\":400001,\"defaultValue\":\"??\",\"isDefaultValue\":true,\"value\":\"??\"},\"AgentClass\":{\"confidence\":2014,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Browser\"},\"AgentName\":{\"confidence\":2014,\"defaultValue\":\"Unknown\",\"isDefaultValue\":false,\"value\":\"Chrome\"},\"AgentVersion\":{\"confidence\":3000,\"defaultValue\":\"??\",\"isDefaultValue\":false,\"value\":\"105\"},\"AgentInformationEmail\":{\"confidence\":-1,\"defaultValue\":\"Unknown\",\"isDefaultValue\":true,\"value\":\"Unknown\"},\"AgentInformationUrl\":{\"confidence\":-1,\"defaultValue\":\"Unknown\",\"isDefaultValue\":true,\"value\":\"Unknown\"},\"WebviewAppName\":{\"confidence\":-1,\"defaultValue\":\"Unknown\",\"isDefaultValue\":true,\"value\":\"Unknown\"},\"WebviewAppVersion\":{\"confidence\":-1,\"defaultValue\":\"??\",\"isDefaultValue\":true,\"value\":\"??\"},\"__SyntaxError__\":{\"confidence\":-1,\"defaultValue\":\"false\",\"isDefaultValue\":true,\"value\":\"false\"}},\"ambiguityCount\":0,\"availableFieldNamesSorted\":[\"DeviceClass\",\"DeviceName\",\"DeviceBrand\",\"OperatingSystemClass\",\"OperatingSystemName\",\"OperatingSystemVersion\",\"OperatingSystemVersionMajor\",\"AgentClass\",\"AgentName\",\"AgentVersion\",\"AgentInformationEmail\",\"AgentInformationUrl\",\"WebviewAppName\",\"WebviewAppVersion\",\"__SyntaxError__\"],\"cleanedAvailableFieldNamesSorted\":[\"DeviceClass\",\"DeviceName\",\"DeviceBrand\",\"OperatingSystemClass\",\"OperatingSystemName\",\"OperatingSystemVersion\",\"OperatingSystemVersionMajor\",\"AgentClass\",\"AgentName\",\"AgentVersion\"],\"hasAmbiguity\":false,\"hasSyntaxError\":false,\"headers\":{\"User-Agent\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\"},\"userAgentString\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\",\"userAgentStringField\":{\"confidence\":0,\"defaultValue\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\",\"isDefaultValue\":false,\"value\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\"}},\"deviceName\":\"Desktop\",\"deviceType\":\"COMPUTER\",\"deviceTypeString\":\"Desktop\",\"dumbPhone\":false,\"ios\":false,\"ipad\":false,\"mobileDevice\":false,\"operatingSystem\":\"WINDOWS\",\"operatingSystemFamily\":\"Windows NT\",\"operatingSystemVersion\":\"??\",\"os\":{\"family\":\"windows\",\"majorVersion\":-1,\"minorVersion\":-1,\"osFamily\":\"windows\",\"osVersion\":{\"matchPrecision\":\"BUILD\",\"version\":0},\"patchVersion\":-1,\"releaseVersion\":{\"matchPrecision\":\"BUILD\",\"version\":0},\"version\":\"\"},\"phone\":false,\"safari\":false,\"smartPhone\":false,\"tablet\":false,\"userAgentString\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\",\"webviewName\":\"Unknown\",\"webviewVersion\":{\"matchPrecision\":\"BUILD\",\"version\":0},\"windowsPhone\":false},\"userAgentString\":\"Mozilla\\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\\u002F537.36 (KHTML, like Gecko) Chrome\\u002F105.0.0.0 Safari\\u002F537.36\",\"version\":{\"major\":105,\"minor\":-1,\"version\":\"105\"},\"windowsPhone\":false}"},"proctorIdentifiers":{"ACCOUNT":"-1","USER":"1ge4tueuklhdh800"},"queryModifierResult":{"originalQuery":"python","queryModifiers":[{"clickUrl":"http://www.indeed.com/jobs?q=python%2Bintern&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"python intern"},{"clickUrl":"http://www.indeed.com/jobs?q=panda&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"panda"},{"clickUrl":"http://www.indeed.com/jobs?q=bobcat&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"bobcat"},{"clickUrl":"http://www.indeed.com/jobs?q=rhino&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"rhino"},{"clickUrl":"http://www.indeed.com/jobs?q=reptile&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"reptile"},{"clickUrl":"http://www.indeed.com/jobs?q=boba&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"boba"},{"clickUrl":"http://www.indeed.com/jobs?q=drupal&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"drupal"},{"clickUrl":"http://www.indeed.com/jobs?q=caterpillar&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"caterpillar"},{"clickUrl":"http://www.indeed.com/jobs?q=abacus&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"abacus"},{"clickUrl":"http://www.indeed.com/jobs?q=food%2Blion&l=Texas&from=querymodifiers&qm=1&oq=python","newQuery":"food lion"}]},"radius":25,"refineByTypes":[],"results":[{"appliedOrGreater":false,"company":"John Deere","companyBrandingAttributes":{"headerImageUrl":"https://d2q79iu7y748jz.cloudfront.net/s/_headerimage/1960x400/5e8d35d0dcbc8a32f12d61e4541c55ae","logoUrl":"https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/b46cb1797d2ea21811908aaa0ab2bdad"},"companyIdEncrypted":"38eb72d608d80c79","companyOverviewLink":"/cmp/John-Deere","companyOverviewLinkCampaignId":"serp-linkcompanyname","companyRating":4,"companyReviewCount":3767,"companyReviewLink":"/cmp/John-Deere/reviews","companyReviewLinkCampaignId":"cmplinktst2","d2iEnabled":false,"displayTitle":"Part-Time Student-MLOps Software Engineer-Remote","dradisJob":false,"employerAssistEnabled":false,"employerResponsive":false,"encryptedFccompanyId":"eade00c6021a5947","encryptedResultData":"VwIPTVJ1cTn5AN7Q-tSqGRXGNe2wB2UYx73qSczFnGU","expired":false,"extractTrackingUrls":"","extractedEntities":[],"fccompanyId":-1,"featuredCompanyAttributes":{},"featuredEmployer":false,"featuredEmployerCandidate":false,"feedId":2701,"formattedLocation":"Austin, TX 78704","formattedRelativeTime":"Today","hideMetaData":false,"hideSave":false,"highVolumeHiringModel":{"highVolumeHiring":false},"highlyRatedEmployer":false,"hiringEventJob":false,"indeedApplyEnabled":false,"indeedApplyable":false,"isJobSpotterJob":false,"isJobVisited":false,"isMobileThirdPartyApplyable":false,"isNoResumeJob":false,"isSubsidiaryJob":false,"jobCardRequirementsModel":{"additionalRequirementsCount":0,"requirementsHeaderShown":false},"jobLocationCity":"Austin","jobLocationExtras":"South Lamar-South Congress","jobLocationPostal":"78704","jobLocationState":"TX","jobTypes":["Full-time","Part-time"],"jobkey":"a22fa26470cfb9ad","jsiEnabled":false,"link":"/rc/clk?jk=a22fa26470cfb9ad&fccid=38eb72d608d80c79&vjs=3","locationCount":1,"loceJobTagModel":{},"mobtk":"1ge736cml2gra002","moreLinks":{"companyName":"John Deere","companyText":"John Deere jobs in Austin, TX","locationName":"Austin","qnaUrl":"/cmp/John-Deere/faq","qnaUrlParams":"?from=serp-more&campaignid=serp-more&fromjk=a22fa26470cfb9ad&jcid=38eb72d608d80c79","resultNumber":0,"salaryLocationName":"Austin, TX","salaryNoFollowLink":false,"salaryUrl":"/career/software-engineer/salaries/78704--TX","salaryUrlParams":"?campaignid=serp-more&fromjk=a22fa26470cfb9ad&from=serp-more","shortLocationName":"Austin, TX","showAcmeLink":true,"showAcmeQnaLink":true,"showViewAllCompanyAndLocationLinks":true,"showViewAllCompanyLink":true,"showViewAllLocationLink":true,"showViewAllNormalizedTitleLink":false,"viewAllCompanyLinkText":"John Deere jobs in Austin, TX","viewAllCompanyUrl":"/q-John-Deere-l-Austin,-TX-jobs.html","viewAllLocationUrl":"/l-Austin,-TX-jobs.html","visible":false},"moreLocUrl":"/jobs?q=python&l=Texas&jtid=b3a825820658bf92&jcid=38eb72d608d80c79&grp=tcl","mouseDownHandlerOption":{"adId":"","advn":"","extractTrackingUrls":[],"from":"vjs","jobKey":"a22fa26470cfb9ad","link":"/rc/clk?jk=a22fa26470cfb9ad&fccid=38eb72d608d80c79&vjs=3","tk":"1ge736cml2gra002"},"newJob":true,"normTitle":"Part Time Student Mlop Software Engineer Remote","openInterviewsInterviewsOnTheSpot":false,"openInterviewsJob":false,"openInterviewsOffersOnTheSpot":false,"openInterviewsPhoneJob":false,"overrideIndeedApplyText":true,"preciseLocationModel":{"obfuscateLocation":false,"overrideJCMPreciseLocationModel":true},"pubDate":1664427600000,"redirectToThirdPartySite":false,"remoteLocation":false,"remoteWorkModel":{"inlineText":true,"type":"REMOTE_ALWAYS"},"resumeMatch":false,"salarySnippet":{"salaryTextFormatted":false},"saved":false,"savedApplication":false,"screenerQuestionsURL":"","showCommutePromo":false,"showEarlyApply":false,"showJobType":false,"showRelativeDate":true,"showSponsoredLabel":false,"showStrongerAppliedLabel":false,"smartFillEnabled":false,"smbD2iEnabled":false,"snippet":"\u003Cul style=\"list-style-type:circle;margin-top: 0px;margin-bottom: 0px;padding-left:20px;\"\u003E \n \u003Cli style=\"margin-bottom:0px;\"\u003ETitle: Part-Time Student-MLOps Software Engineer-Remote - 91235.\u003C/li\u003E\n \u003Cli\u003EThe Part-Time Student Program is primarily designed to augment the Company’s regular full-time…\u003C/li\u003E\n\u003C/ul\u003E","sourceId":2775,"sponsored":false,"taxoAttributes":[],"taxoAttributesDisplayLimit":5,"taxoLogAttributes":[],"taxonomyAttributes":[{"attributes":[{"label":"Part-time","suid":"75GKK"}};"

    ...
</script>

So get at this data we can just use a regex command to find the window.mosaic.providerData["mosaic-provider-jobcards"] json on the page and parse it's contents.

We can do this with a regex command like:


    'window.mosaic.providerData\["mosaic-provider-jobcards"\]=(\{.+?\});'

In Python the full regex command would look like:


script_tag = re.findall(r'window.mosaic.providerData\["mosaic-provider-jobcards"\]=(\{.+?\});', html)

This JSON blob is pretty big and contains a lot of unnecessary data but the data we are looking for is in:


json_blob = json.loads(script_tag[0])
jobs_list = json_blob['metaData']['mosaicProviderJobCardsModel']['results']

Here is an example Python Requests scraper that retrieves all job ids from a job search query from all 100 pages.


import re
import json
import requests
from urllib.parse import urlencode

def get_indeed_search_url(keyword, location, offset=0):
    parameters = {"q": keyword, "l": location, "filter": 0, "start": offset}
    return "https://www.indeed.com/jobs?" + urlencode(parameters)


headers={"User-Agent": "Mozilla/5.0 (iPad; CPU OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148"}

job_id_list = []

## Job Search Parameters
keyword_list = ['software engineer']
location_list = ['California']

## Loop Through Indeed Pages Until No More Jobs
for keyword in keyword_list:
    for location in location_list:
        for offset in range(0, 1010, 10):
            try:
                indeed_jobs_url = get_indeed_search_url(keyword, location, offset)
                response = requests.get(indeed_jobs_url, headers=headers)

                if response.status_code == 200:
                    script_tag  = re.findall(r'window.mosaic.providerData\["mosaic-provider-jobcards"\]=(\{.+?\});', response.text)
                    if script_tag is not None:
                        json_blob = json.loads(script_tag[0])
                        jobs_list = json_blob['metaData']['mosaicProviderJobCardsModel']['results']
                        for index, job in enumerate(jobs_list):
                            if job.get('jobkey') is not None:
                                job_id_list.append(job.get('jobkey'))
                        
                        ## If response contains less than 10 jobs then stop pagination
                        if len(jobs_list) < 10:
                            break
                    
            except Exception as e:
                print('Error', e)

print(job_id_list)

The output job_id_list will look like this:


[
    "f6288f8af00406b1",
    "56ab4e4fe59ae782",
    "29bd7638828fab65",
    "697a7a3f18590465",
    "08e92505e27442d3",
    "105529f69e3fdae2",
    "cb6051b3810c1a1e",
    "27b6100b1824c062",
    "5ed01f909421e1dc",
    "51e6c0cb491f1eb8",
    "9c00bbf58c08a82b",
    "1744f664384cf3f9",
    "d07ab6e42b00c36a",
    "4afb447f36e4ca83",
    "a4c8a5cac15f5a54",
    "2c05f3937cde360a",
    "37bd28548878ed8f"
 ]

Now that we have way to get Indeed Job Ids we can extract the data from each individual Indeed product page.

Indeed Job Search Data

The Indeed JobSearch request returns a lot more information than just the job id. You can get the job title max salary, min salary, company name, company location, comany reviews, etc from the JSON blob as well.

So depending on what data you need you mightn't actually need to request each individual jobs page as you can get the data from the search results.

Here instead of just extracting the jobKey from the jobs_list:


for index, job in enumerate(jobs_list):
    if job.get('jobkey') is not None:
        job_id_list.append(job.get('jobkey'))

We are extracting all the job data we want:


for index, job in enumerate(jobs_list):
    if job.get('jobkey') is not None:
        jobs_data_list.append({
            'keyword': keyword,
            'location': location,
            'page': round(offset / 10) + 1 if offset > 0 else 1,
            'position': index,
            'company': job.get('company'),
            'companyRating': job.get('companyRating'),
            'companyReviewCount': job.get('companyReviewCount'),
            'companyRating': job.get('companyRating'),
            'highlyRatedEmployer': job.get('highlyRatedEmployer'),
            'jobkey': job.get('jobkey'),
            'jobTitle': job.get('title'),
            'jobLocationCity': job.get('jobLocationCity'),
            'jobLocationPostal': job.get('jobLocationPostal'),
            'jobLocationState': job.get('jobLocationState'),
            'maxSalary': job.get('estimatedSalary').get('max') if job.get('estimatedSalary') is not None else 0,
            'minSalary': job.get('estimatedSalary').get('min') if job.get('estimatedSalary') is not None else 0,
            'salaryType': job.get('estimatedSalary').get('max') if job.get('estimatedSalary') is not None else 'none',
            'pubDate': job.get('pubDate'),
        })

Scraping Individual Indeed Jobs Data​

Once we have a list of Indeed Job Ids we can scrape all the job data from each individual Indeed job page.

How To Scrape Indeed.com Job Pages

Again, as Indeed returns the data inside a window._initialData={} inside a <script> tag in the HTML response it is pretty easy to extract the data.


<script>
    ...
    window._initialData={"accountKey":null,"apiPaths":{},"appCommonData":null,"averageRatingsModel":null,"base64EncodedJson":"eyJjIjpmYWxzZSwiZSI6ZmFsc2UsImciOiJodHRwOi8vd3d3LmluZGVlZC5jb20vbS9iYXNlY2FtcC92aWV3am9iP3ZpZXd0eXBlPWVtYmVkZGVkJmprPWY2Mjg4ZjhhZjAwNDA2YjEifQ","baseInboxUrl":"https:\u002F\u002Finbox.indeed.com","baseUrl":"https:\u002F\u002Fwww.indeed.com","benefitsModel":{"benefits":[{"key":"FVKX2","label":"401(k)"},{"key":"SENX8","label":"401(k) matching"},{"key":"6XHWW","label":"Commuter assistance"},{"key":"YJ8XR","label":"Food provided"},{"key":"3K96F","label":"Free parking"},{"key":"TZV2T","label":"Gym membership"},{"key":"EY33Q","label":"Health insurance"},{"key":"Y2WS5","label":"Life insurance"},{"key":"HW4J4","label":"Paid time off"},{"key":"NPHPU","label":"Parental leave"},{"key":"6XT6J","label":"Stock options"}]},"callToInterviewButtonModel":null,"categorizedAttributesModel":null,"chatbotApplyButtonLinkModel":null,"clientsideProctorGroups":{"callToApplyStickySideBySide":true,"mobmapandcommutetimetst9":false,"showSalaryGuide":true,"desktopvj_stickyheader_tst":false,"callToApplyStickyBelowApplyNow":false,"mob_desktop_serp_tst":true,"callButtonPrimaryApplySecondary":false,"showInterviewCardBelowJobDesc":false},"cmiJobCategoryModel":null,"commuteInfoModel":null,"companyAvatarModel":null,"companyFollowFormModel":null,"companyTabModel":null,"contactPersonModel":null,"country":"US","cssResetProviders":{"mosaic-provider-reportcontent":false,"mosaic-provider-salary-feedback":true,"mosaic-provider-company-info-salary":true,"mosaic-provider-rich-media":false,"js-match-insights-provider":false,"MosaicProviderCallToApplyFeedback":true,"mosaic-provider-dislike-feedback":false},"ctk":"1ge4tueuklhdh800","dcmModel":{"category":"jobse0","source":"6927552","type":"organic"},"desktop":true,"desktopSponsoredJobSeenData":"tk=1ge7cg6jhkke6800","dgToken":"6987EEB4A2C6A193E5C44936188510EB","dislikeFrom2paneEnabled":false,"downloadAppButtonModel":null,"employerResponsiveCardModel":null,"from":null,"globalnavFooterHTML":"","globalnavHeaderHTML":"","highQualityMarketplace":null,"hiringInsightsModel":{"age":"30+ 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We don't need to build CSS/xPath selectors for each field, we just to parse the data we want from the JSON response. An extra bonus from this is that the data is very clean so we have to little to no data cleaning.


    'window._initialData=(\{.+?\});'

In Python the full regex command would look like:


script_tag = re.findall(r"_initialData=(\{.+?\});", html)

The job data can be found here:


json_blob = json.loads(script_tag[0])
job = json_blob["jobInfoWrapperModel"]["jobInfoModel"]

The JSON blob with the job data is pretty big so we will configure our scraper to only parse the data we want.

Here is an example Python Requests scraper that will request the individual page of each Indeed Job and parse the data we want.


import re
import json
import requests
from urllib.parse import urlencode

headers={"User-Agent": "Mozilla/5.0 (iPad; CPU OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148"}

job_id_list = [
    'f6288f8af00406b1',
     '56ab4e4fe59ae782',
     '29bd7638828fab65',
     '697a7a3f18590465',
     '08e92505e27442d3',
     '105529f69e3fdae2'
]

full_job_data_list = []

for job_id in job_id_list:
    try:
        indeed_job_url = 'https://www.indeed.com/m/basecamp/viewjob?viewtype=embedded&jk=' + job_id
        response = requests.get(indeed_job_url, headers=headers)

        if response.status_code == 200:
            script_tag  = re.findall(r"_initialData=(\{.+?\});", response.text)
            if script_tag is not None:
                json_blob = json.loads(script_tag[0])
                job = json_blob["jobInfoWrapperModel"]["jobInfoModel"]
                full_job_data_list.append({
                    'company': job.get('jobInfoHeaderModel').get('companyName') if job.get('jobInfoHeaderModel') is not None else '',
                    'jobkey': job_id,
                    'jobTitle': job.get('jobInfoHeaderModel').get('jobTitle') if job.get('jobInfoHeaderModel') is not None else '',
                    'jobDescription': job.get('sanitizedJobDescription').get('content') if job.get('sanitizedJobDescription') is not None else '',
                })
            
            
    except Exception as e:
        print('Error', e)

print(full_job_data_list)

Here an example output:


[
{
    "company": "Bluevine",
    "jobkey": "f6288f8af00406b1",
    "jobTitle": "Senior Full Stack Engineer (python)",
    "jobDescription": "<div>\n <div>\n  <p><b>About Bluevine</b></p> \n  <p> Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.</p> \n  <p> As a dynamic company with massive potential, we're backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we're just getting started.</p> \n  <p> All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us!</p>\n </div>\n <p><b><i> This is a hybrid role</i></b><i>. </i>At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.</p> \n <p><b> ABOUT THE ROLE:</b></p> \n <p> We're looking for a Senior Full Stack Engineer flexible enough to develop features from the front (beautiful UX) to the back (scalable and robust components and integrations). If you're drawn to engineering challenges and have a strong desire to make a big impact as part of a small, agile team, in an exciting space, we'd love to talk to you.</p> \n <p> The team serves a variety of stakeholders across all the business and the platform.</p> \n <p><b> WHAT YOU'LL DO:</b></p> \n <ul> \n  <li>Independently drive the engineering development of complex features</li> \n  <li>Design and build state-of-the-art responsive banking applications</li> \n  <li>Work closely with, and incorporate feedback from product managers and other stakeholders in the company</li> \n  <li>Be part of a fast-paced and highly-flexible team with the comfort of making decisions using your best judgement</li> \n  <li>Develop projects through their entire life cycle</li> \n </ul> \n <p><b>WHAT WE LOOK FOR:</b></p> \n <ul> \n  <li>5+ years of combined full stack experience experience building fast, reliable, web and/or mobile applications on applications with Python backends</li> \n  <li>Experience with Web frameworks (e.g., Angular, React, or Vue)</li> \n  <li>Experience with source control management systems, preferably Git</li> \n  <li>B.S. in Computer Science or a related field preferred</li> \n </ul> \n <p><b>Nice to Haves</b></p> \n <ul> \n  <li>Experience with AWS</li> \n  <li>Experience with mobile development (e.g., Native, Native Script, or React)</li> \n </ul>\n <div>\n  <div> \n   <p><b>BENEFITS AND PERKS - for employees located in the US</b></p> \n   <ul> \n    <li>Excellent health coverage and life insurance benefits</li> \n    <li>401K with an immediate 3% company match</li> \n    <li>PTO, Company Holidays, and Flexible Holidays</li> \n    <li>Company-sponsored Mental Health Benefits, including 1:1 therapy</li> \n    <li>Over $1,000 annually for a wellness benefit of your choice</li> \n    <li>Monthly WFH stipend</li> \n    <li>Generous, paid parental leave covering up to 16 weeks</li> \n    <li>Access to financial coaches and education sessions</li> \n    <li>Free commuter benefits - Caltrain passes for San Francisco employees and a monthly parking allowance</li> \n    <li>Monthly DoorDash credit</li> \n    <li>Weekly catered lunches and fully stocked kitchen pantries</li> \n    <li>Dog-friendly Redwood City, CA office</li> \n    <li>Community-based volunteering opportunities</li> \n   </ul> \n   <p><b>BENEFITS &amp; PERKS - for employees located in Israel</b></p> \n   <ul> \n    <li>Excellent group health coverage and life insurance benefits</li> \n    <li>Stock options</li> \n    <li>Flexible hybrid work model</li> \n    <li>Large Study Fund contribution</li> \n    <li>Salary Benchmarks and Checkpoints</li> \n    <li>Monthly meal card of TenBis or CiBus (your choice) with generous balance</li> \n    <li>Free parking for cars, scooters, and bikes</li> \n    <li>Free gym membership</li> \n    <li>Company-sponsored Mental Health Benefits</li> \n    <li>PTO, Company Holidays, and Flexible Holidays</li> \n    <li>Community-based volunteering opportunities</li>\n   </ul>\n  </div>\n </div>\n</div>\n<div></div>"
  },
 ]

You can expand this scraper to extract much more information from the JSON blob.

Indeed Anti-Bot Protection​

As you might have seen already if you run this code a couple times Indeed might already have started to redirecting you to its blocked page.

This is because Indeed uses anti-bot protection to try and prevent (or at least make it harder) developers from scraping their site.

You will need to using rotating proxies, browser-profiles and possibly fortify your headless browser if you want to scrape it reliably at scale.

We have written about how to do this here:

However, if you don't want to implement all this anti-bot bypassing logic yourself the easier option is to use a smart proxy solution like ScrapeOps Proxy Aggregator.

The ScrapeOps Proxy Aggregator is a smart proxy that handles everything for you:

  • Proxy rotation & selection
  • Rotating user-agents & browser headers
  • Ban detection & CAPTCHA bypassing
  • Country IP geotargeting
  • Javascript rendering with headless browsers

To use the ScrapeOps Proxy Aggregator, we just need to send the URL we want to scrape to the Proxy API instead of making the request directly ourselves. We can do this with a simple wrapper function:


SCRAPEOPS_API_KEY = 'YOUR_API_KEY'

def scrapeops_url(url):
    payload = {'api_key': SCRAPEOPS_API_KEY, 'url': url, 'country': 'us'}
    proxy_url = 'https://proxy.scrapeops.io/v1/?' + urlencode(payload)
    return proxy_url


indeed_search_url = 'https%3A%2F%2Fwww.indeed.com%2Fjobs%3Fq%3Dsoftware%20engineer%26l%3DSan%20Francisco%26start%3D0%26filter%3D0'

## Send URL To ScrapeOps Instead of Indeed 
response = requests.get(scrapeops_url(indeed_search_url))

You can get a API key with 1,000 free API credits by signing up here.

Here is our updated Indeed Product Scraper using the ScrapeOps Proxy:


import re
import json
import requests
from urllib.parse import urlencode

job_id_list = [
    'f6288f8af00406b1',
     '56ab4e4fe59ae782',
     '29bd7638828fab65',
     '697a7a3f18590465',
     '08e92505e27442d3',
     '105529f69e3fdae2'
]

full_job_data_list = []

for job_id in job_id_list:
    try:
        indeed_job_url = 'https://www.indeed.com/m/basecamp/viewjob?viewtype=embedded&jk=' + job_id
        response = requests.get(scrapeops_url(indeed_job_url))

        if response.status_code == 200:
            script_tag  = re.findall(r"_initialData=(\{.+?\});", response.text)
            if script_tag is not None:
                json_blob = json.loads(script_tag[0])
                job = json_blob["jobInfoWrapperModel"]["jobInfoModel"]
                full_job_data_list.append({
                    'company': job.get('jobInfoHeaderModel').get('companyName') if job.get('jobInfoHeaderModel') is not None else '',
                    'jobkey': job_id,
                    'jobTitle': job.get('jobInfoHeaderModel').get('jobTitle') if job.get('jobInfoHeaderModel') is not None else '',
                    'jobDescription': job.get('sanitizedJobDescription').get('content') if job.get('sanitizedJobDescription') is not None else '',
                })
            
            
    except Exception as e:
        print('Error', e)

full_job_data_list

Now when we make requests with our scraper Indeed won't be block them.

More Web Scraping Guides​

In this edition of our "How To Scrape" series, we went through how you can scrape Indeed.com including how to bypass its anti-bot protection.

If you would like to learn how to scrape other popular websites then check out our other How To Scrape Guides:

Or if you would like to learn more about web scraping in general, then be sure to check out The Web Scraping Playbook, or check out one of our more in-depth guides: