Previously, I scraped behance.net using graphQL. Using the same steps, I am trying to scrape job search results from LinkedIn as they are also using graphQL. I could write a Python request for behance.net as

payload = {
"query": "n      query GetProjectSearchResults($query: query, $filter: SearchResultFilter, $first: Int!, $after: String) {n        search(query: $query, type: PROJECT, filter: $filter, first: $first, after: $after) {n          pageInfo {n            hasNextPagen            endCursorn          }n          nodes {n            ... on Project {n              __typenamen              ...projectSearchFieldsn            }n          }n          metaContent {n            totalEntityCountn            toolCard {n              cta {n                textn                urln              }n              descriptionn              links {n                textn                urln                typen              }n              slugn              titlen            }n            schoolCard {n              cta {n                textn                urln              }n              descriptionn              slugn            }n            csam {n              isCSAMViolationn              descriptionn              helpResourcen              reportingOptionn            }n            followableTag {n              isFollowingn              tag {n                idn                titlen              }n            }n          }n        }n      }nn      n  fragment projectSearchFields on Project {n    idn    colors {n      rn      gn      bn    }n    isMatureReviewSubmittedn    linkedAssetsCountn    namen    premiumn    isPrivaten    publishedOnn    isFoundern    isFeaturedn    modifiedOnn    canBeAddedToMoodboardn    adminFlags {n      mature_lockn      privacy_lockn      dmca_lockn      flagged_lockn      privacy_violation_lockn      trademark_lockn      spam_lockn      eu_ip_lockn    }n    features {n      featuredOnn      urln      namen      ribbon {n        imagen        image2xn        image3xn      }n    }n    slugn    stats {n      views {n        alln      }n      appreciations {n        alln      }n      comments {n        alln      }n    }n    urln    fields {n      labeln    }n    linkedAssets {n      ...sourceLinkFieldsn    }n    sourceFiles {n      ...sourceFileWithCoverFieldsn    }n    matureAccessn    hasMatureContentn    owners {n      ...OwnerFieldsn      images {n        size_50 {n          urln        }n        size_100 {n          urln        }n        size_115 {n          urln        }n        size_138 {n          urln        }n        size_230 {n          urln        }n        size_276 {n          urln        }n      }n    }n    covers {n      size_original {n        urln      }n      size_max_808 {n        urln      }n      size_808 {n        urln      }n      size_404 {n        urln      }n      size_202 {n        urln      }n      size_230 {n        urln      }n      size_115 {n        urln      }n      size_original_webp {n        urln      }n      size_max_808_webp {n        urln      }n      size_808_webp {n        urln      }n      size_404_webp {n        urln      }n      size_202_webp {n        urln      }n      size_230_webp {n        urln      }n      size_115_webp {n        urln      }n    }n  }nn  n  fragment sourceFileWithCoverFields on SourceFile {n    __typenamen    sourceFileIdn    projectIdn    userIdn    titlen    assetIdn    renditionUrln    mimeTypen    sizen    categoryn    licenseTypen    unitAmountn    currencyn    tiern    hiddenn    extensionn    hasUserPurchasedn    descriptionn    cover {n      coverUrln      coverXn      coverYn      coverScalen    }n  }nn  n  fragment sourceLinkFields on LinkedAsset {n    __typenamen    namen    premiumn    urln    categoryn    licenseTypen  }nn  n  fragment OwnerFields on User {n    displayNamen    hasPremiumAccessn    idn    isFollowingn    isProfileOwnern    locationn    locationUrln    urln    usernamen    isMessageButtonVisiblen    availabilityInfo {n      availabilityTimelinen      isAvailableFullTimen      isAvailableFreelancen      hiringTimeline {n        keyn        labeln      }n    }n    creatorPro {n      isActiven      initialSubscriptionDaten    }n  }nnn    ",
"variables": {"after": "NDg=", "filter": {}, "first": 48},
}

url = "https://www.behance.net/v3/graphql"

headers = {
    "X-Requested-With": "XMLHttpRequest",
    "X-BCP": "96ee8700-3ce5-4445-96b2-ab0e1a76a63a",
 }

cookies = {
    "bcp": "96ee8700-3ce5-4445-96b2-ab0e1a76a63a",
 }

However, I cannot find any “query” keyword for LinkedIn’s graphQL requests as shown in the image below.

Any hint on how to create a proper Python request for this?