Search Filters

23min

employee api will be deprecated on august 6th until then, you must transfer to a base employee api docid\ gobtmn jebqrtgr8akb1w read all about the benefits and changes base employee api docid\ zhyxkcw5ssxx1p94ejuwl data type employee query type coresignal's custom filters url https //api coresignal com/cdapi/ v2/member/search/filter overview use the endpoint to discover employee ids this endpoint offers a less complex user experience than the /v2/member/search/es dsl endpoint explore the available filters, their potential applications, and helpful tips if you prefer uncomplicated queries, opt for this endpoint below are details about filter explanations and how to use them endpoint structure full structure { "name" "string", "title" "string", "location" "string", "industry" "string", "summary" "string", "created at gte" "string", "created at lte" "string", "last updated gte" "string", "last updated lte" "string", "deleted" true, "country" "string", "skill" "string", "certification name" "string", "experience title" "string", "experience company name" "string", "experience company exact name" "string", "experience company website url" "string", "experience company website exact url" "string", "experience company professional network url" "string", "experience company industry" "string", "experience company size" "string", "experience company employees count gte" 0, "experience company employees count lte" 0, "experience date from" "string", "experience date to" "string", "experience description" "string", "experience deleted" true, "experience company id" 0, "active experience" true, "keyword" "string", "education institution name" "string", "education institution exact name" "string", "education program name" "string", "education description" "string", "education date from" "string", "education date to" "string", "education institution professional network url" "string", "is hidden" true, } filter list all personal/company information mentioned within this context is entirely fictional and is solely intended for illustrative purposes e xample outputs are redacted and may not contain all the fields you would receive using the endpoint request examples https //docs coresignal com/api/employee api requests test out the endpoint with suggested examples name filter name data input type description usage name s tring employee's name use it to find employee records based on the name, surname, or full name example input name { "name" "john" } surname { "name" "doe" } full name { "name" "john doe" } example output with corresponding fields in the output data name "name" "☆john hooks☆", "first name" "☆john", "last name" "hooks☆", surname "name" "benjamin steven doe", "first name" "benjamin steven", "last name" "doe", full name "name" "john doe test", "first name" "john", "last name" "doe test", title filter name data input type description usage title s tring employee's title (profile headline) use it to find employee records based on the profile headline (title) available operators and (both keywords need to be present) or (one of the two input values) example input no operator { "title" "data analyst" } operator or { "title" "(data analyst) or (data scientist)" } operator and { "title" "data analyst and data scientist" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "name" "john doe", "title" "data analyst | cryptocurrency & blockchain markets", use "\\"{keyword}\\"" format to find exact matches exact match { "title" "\\"product manager\\"" } location filter name data input type description usage location s tring employee's location use it to find employee records based on location use states , cities , and countries example input location { "location" "denver" } example output example "name" "☆ rose doe ☆", "location" "denver metropolitan area", "industry" "pharmaceuticals", industry filter name data input type description usage industry s tring associated industry note not directly related to any particular work experience use to find employee records based on the associated industry search based on the available list of industries available operators or (one of the two input values) use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together phrases { "industry" "(information technology) or internet" } possible input values https //archbee doc uploads s3 amazonaws com/9oh5uwh7vcxpcwjh9ttae jeiflai5b bsaazmiz2hg 20240821 172101 txt summary filter name data input type description usage summary st ring education/work experience summary use it to find employee records based on the education/work experience summary available operators and (both keywords need to be present) or (one of the two input values) you can use the operator to finish the keyword for example, "py" will return results with py v isible in them in them py will return results with the completed word, e g , python example input no operator { "summary" "python" } operator or { "summary" "(software development) or sql" } operator and { "summary" "python and sql" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "summary" "engineering team leader for test team working on the engine controllers for fca/stellantis, harley davidson, allison \nhaving an experience of 9+ years in automotive domain, hil testing of ecu's at system and software level \n experienced in different phases of testing like requirement analysis, developing system/software level test cases, test script development, test execution, error analysis and results reporting \n experienced in interfacing of ecu’s with hil environment and testing of ecu software using the hil system \n experienced in aspice process implementation for swe 5, swe 6 \n experienced in c, python scripting and capl programming \n\n part of steering team for multiple organization wide activities like cultural committee, csr, ert", created at gte filter name data input type description usage created at gte s tring date and time when the record was created in our database find employee records based on the creation date use the yyyy mm dd hh\ mm\ ss date format the output value will be greater than or equal to the input value example input created at { "created at gte" "2021 01 26 12 41 10" } example output example "last response code" 404, "created" "2021 01 26 12 41 27", "last updated" "2023 05 24 11 32 17", created at lte filter name data input type description usage created at lte s tring date and time when the record was created in our database find employee records based on the creation date use the yyyy mm dd hh\ mm\ ss date format the output value will be less than or equal to the input value example input created at { "created at lte" "2021 01 26 12 41 10" } example output example "last response code" 404, "created" "2016 07 22 14 25 58", "last updated" "2021 12 12 01 45 23", last updated gte filter name data input type description usage last updated gte s tring date and time when the record was last updated find employee records based on the last update date use the yyyy mm dd hh\ mm\ ss date format the output value will be greater than or equal to the input value example input last updated gte { "last updated gte" "2021 02 26 12 41 01" } example output example "last updated" "2023 05 21 17 58 40", "last response code" 200, last updated lte filter name data input type description usage last updated lte string date and time when the record was last updated find employee records based on the last update date use the yyyy mm dd hh\ mm\ ss date format the output value will be less than or equal to the input value example input last updated lte { "last updated lte" "2023 02 26 12 41 01" } example output example "last updated" "2023 01 09 05 01 35", "last response code" 200, deleted filter name data input type description usage deleted b oolean marks record's public availability use it to see employee records that are deleted or private use the value true to include deleted/private employee profiles or false to exclude such profiles from your search tip combine with other filters using relevant keywords possible input values true { "deleted" true } false { "experience deleted" false } example output deleted profile { "id" 169, "name" "•carla coe", "first name" null, "last name" null, "title" "partner at business law firm", "url" "https //www professional network com/in/%c3%97carla coe 3251819a", "hash" "b12fcabd631d85a6556cb02cfbcda3e8", "location" "greater milwaukee area", "industry" "law practice", "summary" "partner at business law firm i specialize in commercial real estate and finance transactions ", "connections" "26", "recommendations count" null, "logo url" null, "last response code" 404, "created" "2016 07 22 14 26 05", "last updated" "2023 09 02 08 51 08", "outdated" 0, "deleted" 1, "country" "united states", active profile { "id" 2592, "name" "•john doe", "first name" "•john", "last name" "doe", "title" "general manager at automotive company", "url" "https //www professional network com/john doe 6b95a9b9", "hash" "ea73f6178f89eaebfca34a4e197bb407", "location" "peoria, arizona, united states", "industry" "automotive", "summary" null, "connections" "180 connections", "recommendations count" "0", "logo url" "https //static prof com/aero v1/sc/h/244xhbkr7g40x6bsu4gi6q4ry", "last response code" 200, "created" "2016 07 22 14 28 22", "last updated" "2023 07 05 03 37 39", "outdated" 0, "deleted" 0, "country" "united states", country filter name data input type description usage country s tring employee's country, parsed by us from the location value use it to find employee records based on location search based on the parsed location list available operators or (one of the two input values) use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together phrases { "country" "(united kingdom) or germany" } possible input values https //archbee doc uploads s3 amazonaws com/9oh5uwh7vcxpcwjh9ttae g54hunar9ge6jqi8gdcl6 20240821 172250 txt skill filter name data input type description usage skill s tring employee's skills use it to find employee records based on relevant skills available operators and (both keywords need to be present) or (one or the other keyword is present) (choose all profiles that have skill records) you can use a part of the keyword with the operator in this case, you will see words that start with py example input no operator { "skill" "python" } or operator { "skill" "(microsoft excel) or (data processing)" } and operator { "skill" "python or sql" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example output "member skills collection" \[ { "id" 828, "member id" 1027, "skill id" 463, "created" "2016 07 22 14 26 57", "last updated" "2021 10 06 13 40 17", "deleted" 1, "member skill list" { "id" 463, "skill" "python", "hash" "23eeeb4347bdd26bfc6b7ee9a3b755dd", "created" "2016 07 22 14 26 57", "last updated" "2016 07 22 14 26 57" } } ] use "\\"{keyword}\\"" format to find exact matches exact match { "skill" "\\"microsoft excel\\" or sql" } certification name filter name data input type description usage certification name string employee's certifications use it to find employee records based on held certifications available operators and (both keywords need to be present) or (one or the other keyword is present) (choose all profiles that have certification records) you can use a part of the keyword with the operator in this case, you will see words that start with py as, the certification name example input no operator { "certification name" "data processing" } and operator { "certification name" "data processing and python" } or operator { "certification name" "(data processing) or (python development)" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "member certifications collection" \[ { "id" 8, "member id" 614, "name" "amcat certified data processing specialist", "authority" "license 1019718 211", "url" "https //www myamcat com/certificate/1019718/data processing specialist/211?trk=profile certification title", "date from" "september 2014", "date to" null, "created" "2016 07 22 14 26 34", "last updated" "2017 05 19 14 15 11", "deleted" 1 } ] use "\\"{keyword}\\"" format to find exact matches exact match { "certification name" "\\"data processing\\"" } experience title filter name data input type description usage experience title s tring job title in the experience record use it to find employee records based on relevant work experience available operators and (both keywords need to be present) or (one or the other keyword is present) (choose all profiles that have experience records) you can use a part of the keyword with the operator in this case, you will see words that start with py as the experience title example input no operator { "experience title" "project manager" } or operator { "experience title" "(project manager) or sales" } and operator { "experience title" "project manager and sales" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "member experience collection" \[ { "id" 2132255646, "member id" 1045, "title" "project manager", "location" "kolkata area, india", "company name" "example company", "company url" null, "date from" "september 2015", "date to" "august 2016", "duration" "1 year", "description" null, "created" "2020 01 03 10 29 04", "last updated" "2023 03 19 17 43 15", "deleted" 0, "order in profile" 4, "company id" null } ] use "\\"{keyword}\\"" format to find exact matches exact match { "experience title" "\\"project manager\\"" } experience company name filter name data input type description usage experience company name s tring c urrent or previous workplace use it to find employee records based on the relevant workplace available operators and (both keywords need to be present) or (one or the other keyword is present) (choose all profiles with the company name in the experience record records) tip you can use phrases or words you want to see in the company name for example, using it will find all employee profiles with experience in a company using "it" in their name example input experience company name { "experience company name" "experience company" } and operator { "experience company name" "(experience company) and (it company)" } or operator { "experience company name" "(experience company) or (it company)" } use "(first company) or/and (second company)" when including several company names in the query example output example "member experience collection" \[ { "id" 270, "member id" 381, "title" "application developer", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "september 2014", "date to" null, "duration" null, "description" null, "created" "2016 07 22 14 26 18", "last updated" "2018 07 27 04 36 22", "deleted" 1, "order in profile" null, "company id" 3652437 } ] experience company exact name filter name data input type description experience company exact name s tring exact name of the current or previous workplace usage use it to find employee records based on the relevant workplace the output value will match the provided company name (e g , both microsoft and microsoft will work for the filter) the filter returns an exact match with the input value for example, if you input m as the value to look for, you get all employee profiles with a company named "m" listed on their profile experience company exact name { "experience company exact name" "example company" } example output example "member experience collection" \[ { "id" 3753, "member id" 4257, "title" "enterprise marketing lead at it company", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "october 2015", "date to" null, "duration" null, "description" null, "created" "2016 07 22 14 30 40", "last updated" "2016 10 07 15 30 11", "deleted" 1, "order in profile" null, "company id" 5181133 } ] experience company website url filter name data input type description experience company website url s tring website of the c urrent or previous workplace usage use it to find employee records based on the relevant workplace possible url formats www example company com https //www example company com any other format will return no results, even though your query will be shown as successful ( 200 response code) example input https { "experience company website url" "https //www it company com" } www { "experience company website url" "www it company com" } example output example "member experience collection" \[ { "id" 3753, "member id" 4257, "title" "enterprise marketing lead at it company", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "october 2015", "date to" null, "duration" null, "description" null, "created" "2016 07 22 14 30 40", "last updated" "2016 10 07 15 30 11", "deleted" 1, "order in profile" null, "company id" 5181133 } ] experience company website exact url filter name data input type description experience company website exact url s tring the exact website of the current or previous workplace usage use it to find employee records based on relevant workplace possible url formats www example company com https //www example company com any other formats will return no results, even though your query will be shown as successful ( 200 response code) example input experience company website exact url { "experience company website exact url" "https //www it company com" } example output example "member experience collection" \[ { "id" 201415319, "member id" 143820066, "title" "software development engineer intern", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "june 2010", "date to" "september 2010", "duration" "4 months", "description" "\ developed a photo printing wizard for the os modern shell\ designed algorithm for properly cropping and captioning an image\", "created" "2016 08 09 04 03 24", "last updated" "2017 04 12 23 04 01", "deleted" 1, "order in profile" null, "company id" 5181133 } ] experience company professional network url filter name data input type description experience company professional network url s tring profile of c urrent or previous workplace on professional network usage use to find employee records based on the relevant workplace note only the professional network company profile url or shorthand name is accepted example input url { "experience company professional network url" "https //www professional network com/company/sushi restaurant" } shorthand name { "experience company professional network url" "sushi restaurant" } example output example "member experience collection" \[ { "id" 171266702, "member id" 124578192, "title" "waitress", "location" "sydney, australia", "company name" "sushi restaurant", "company url" "https //www proffesional network com/company/rainbow sushi", "date from" "september 2011", "date to" "november 2011", "duration" "3 months", "description" "\receiving phone call, know food allergies, serve customer, and working independently during the busy hours \", "created" "2016 08 07 11 49 58", "last updated" "2017 06 19 20 12 18", "deleted" 1, "order in profile" null, "company id" 7222859 } ] experience company industry filter name data input type description usage experience company industry string workplace industry search based on the available list of industries available operators or (one or the other keyword is present in the data) use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together the list of company industries https //archbee doc uploads s3 amazonaws com/inaodshbfav9t72jx5jdm/jv8m0fxiv6gxr9279ig y distcompanyindustries txt experience company size filter name data input type description usage experience company size s tring employee's workplace headcount (previous or current) find employee records based on the headcount of the current/previous workplace available operators or (one or the other keyword is present in the data) use "(size) or (size)" if you are searching for words in a phrase and want them to be interpreted together possible size input values https //archbee doc uploads s3 amazonaws com/inaodshbfav9t72jx5jdm/kazogn6wupik3d2z0zvaj distcompanysizes txt or operator { "experience company size" "(11 50 employees) or (1 employee)" } experience company employees count gte filter name data input type description experience company employees count gte i nteger headcount in the current or previous workplace usage find employee records based on the headcount in the current or previous workplace the output value will be greater than or equal to the input value example input experience company employees count gte { "experience company employees count gte" 100 } example output experience "member experience collection" \[ { "id" 13, "member id" 26, "title" "technical support associate", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "february 2009", "date to" "july 2010", "duration" "1 year 6 months", "description" "\i worked @ it company as technical solution associate for a period of 18 months for us cts voice process \", "created" "2016 07 22 14 25 59", "last updated" "2018 05 09 16 49 53", "deleted" 1, "order in profile" null, "company id" 7035141 } ] experience company employees count lte filter name data input type description experience company employees count lte i nteger headcount in the current or previous workplace usage find employee records based on the headcount in the current or previous workplace the output value will be less than or equal to the input value example input experience company employees count lte { "experience company employees count lte" 200 } example output experience "member experience collection" \[ { "id" 205, "member id" 281, "title" "front office executive", "location" null, "company name" "software company", "company url" "https //www professional network com/company/software company", "date from" "march 2010", "date to" "july 2010", "duration" "5 months", "description" "\as an admin posts \", "created" "2016 07 22 14 26 12", "last updated" "2019 01 06 20 21 09", "deleted" 1, "order in profile" null, "company id" 4048164 } ] experience date from filter name data input type description usage experience date from s tring employment start date appears if active experience is true use it to find employee records based on employment start date/duration use the month yyyy or yyyy date format the output value will be greater than or equal to the input value if you prefer to see the date from field as null in the profile data, use the value 1000 with the filter alternatively, if you want the field to be !=null and don't have a date requirement, use the value 1001 with the filter example input date format yyyy { "experience date from" "2008" } date format month yyyy { "experience date from" "january 2008" } example output example "member experience collection" \[ { "id" 137, "member id" 215, "title" "commercial manager", "location" null, "company name" "construction company", "company url" "https //www professional network com/company/construction company", "date from" "2008", "date to" "2011", "duration" "3 years", "description" null, "created" "2016 07 22 14 26 06", "last updated" "2018 06 04 00 10 46", "deleted" 1, "order in profile" null, "company id" 4227922 } ] experience date to filter name data input type description usage experience date to s tring employment end date appears if active experience is true use it to find employee records based on employment end date/duration use the month yyyy or yyyy date format the output value will be less than or equal to the input value if you prefer to see the date from field as null in the profile data, use the value 1000 with the filter alternatively, if you want the field to be !=null and don't have a date requirement, use the value 1001 with the filter example input date format yyyy { "experience date to" "2018" } date format month yyyy { "experience date from" "january 2018" } example output example "member experience collection" \[ { "id" 1064432056, "member id" 26, "title" "technical support associate", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" "february 2009", "date to" "july 2010", "duration" "1 year 6 months", "description" "\i worked @ it company as technical solution associate for a period of 18 months for us cts voice process \", "created" "2018 06 27 08 16 09", "last updated" "2019 06 17 08 38 48", "deleted" 1, "order in profile" null, "company id" 7035141 } ] experience description filter name data input type description usage experience description s tring keywords visible in the experience description use it to find employee records using relevant keywords available operators and (both keywords need to be present) or (one or the other keyword is present ) example input no operator { "experience description" "python" } or operator { "experience description" "python or sql" } and operator { "experience description" "python and sql" } example output example "member experience collection" \[ { "id" 2799872023, "member id" 534, "title" "computational scientist", "location" "hyderabad, telangana, india", "company name" "pharmaceuticals company", "company url" "https //www professional network com/company/pharmaceuticals company", "date from" "september 2021", "date to" null, "duration" null, "description" "computational scientist in the oncology computational science group in oncology data analytics at pharmaceuticals company, hyderabad, india \n\nthe role includes exploring emerging technologies and building data science solutions to aid statistical analysts, clinical trials scientists, clinical data managers, medical writers and statisticians \n\ncurrently favorite tools microsoft power platforms, python and r", "created" "2021 10 06 06 37 18", "last updated" "2022 11 21 13 03 52", "deleted" 0, "order in profile" 1, "company id" 10152279 } ] experience deleted filter name data input type description usage experience deleted b oolean marks record's public availability use it to see employee experience records that are deleted or private use the value true to include deleted/private records or false to exclude such records from your search tip combine it with other experience filters to search for relevant records example input true { "experience deleted" true } false { "experience deleted" false } example output example "member experience collection" \[ { "id" 12, "member id" 26, "title" "technical solution expert", "location" null, "company name" "it company", "company url" "https //www professional network com/company/it company", "date from" null, "date to" null, "duration" null, "description" null, "created" "2016 07 22 14 25 59", "last updated" "2018 05 09 16 49 53", "deleted" 1, "order in profile" null, "company id" 20108188 } ] experience company id filter name data input type description usage experience company id i nteger company identification key use to find employee records based on possible workplaces use the acquired company ids to match companies with employee profiles example input experience company id { "experience company id" 233 } example output example "member experience collection" \[ { "id" 1861444157, "member id" 350562934, "title" "network engineer", "location" "greater new york city area", "company name" "consulting company", "company url" "https //www professional network com/company/consulting company", "date from" "june 2011", "date to" "july 2016", "duration" "5 years 2 months", "description" null, "created" "2019 06 27 01 33 28", "last updated" "2023 01 09 12 16 31", "deleted" 0, "order in profile" 3, "company id" 233 } ] active experience filter name data input type description usage active experience b oolean marks current employees use it to find the current employees note only true value is usable with the filter tip combine it with other experience filters to search for relevant records example input active experience { "active experience" true } example output example "member experience collection" \[ { "id" 3150237474, "member id" 162, "title" "senior software engineer", "location" "hyderabad, telangana, india", "company name" "it company", "company url" "https //www professional network com/company/nagarro", "date from" "august 2022", "date to" null, "duration" null, "description" null, "created" "2022 09 18 12 01 01", "last updated" "2023 05 28 07 20 06", "deleted" 0, "order in profile" 1, "company id" 4929898 } ] keyword filter name data input type description usage keyword s tring keywords in different profile sections fields included in search summary ; industry ; skill ; experience title ; experience description use the find employee profiles that contain relevant keywords available operators and (both keywords need to be present) or (one or the other keyword is present) example input no operator { "keyword" "python" } or operator { "keyword" "python or (software development)" } and operator { "keyword" "python and sql" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output summary "summary" "engineering team leader for test team working on the engine controllers" use "\\"{keyword}\\"" format to find exact matches exact match { "keyword" "\\"python\\"" } education institution name filter name data input type description education institution name s tring education institution listed on the employee's profile usage use to find employee records according to their education available operators and (both keywords need to be present) or (one or the other keyword is present) example input education institution name { "education institution name" "it " } or operator { "education institution name" "harvard or (princeton university)" } and operator { "education institution name" "harvard and princeton university" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "member education collection" \[ { "id" 590, "member id" 1317, "title" "it university", "subtitle" "bachelor of technology (btech), electrical engineering technologies/technicians", "date from" "2012", "date to" "2016", "activities and societies" null, "description" null, "created" "2016 07 22 14 27 14", "last updated" "2021 12 12 09 11 45", "deleted" 0, "school url" null } ], education institution exact name filter name data input type description education institution exact name s tring the exact name of the education institution listed on the employee's profile usage use to find employee records according to their education exact name = the institution name as it is written in the employee's profile example input education instution exact name { "education institution exact name" "it university" } example output example "member education collection" \[ { "id" 216182497, "member id" 4162, "title" "it university", "subtitle" "it university innovation program", "date from" "2016", "date to" "2016", "activities and societies" null, "description" null, "created" "2016 10 07 15 29 49", "last updated" "2018 02 14 22 05 29", "deleted" 1, "school url" null } ] education program name filter name data input type description usage education program name s tring study program the employee has/had enrolled in use it to find employee records based on study programs the full program name is not required the filter will match the records that include the required word or phrase (e g , it ) available operators and (both keywords need to be present) or (one or the other keyword is present) example input education program name { "education program name" "it" } or operator { "education program name" "(applied sciences) or (computer science)" } and operator { "education program name" "applied sciences and computer science" } use "(first phrase) or (second phrase)" if you are searching for words in a phrase and want them to be interpreted together example output example "member education collection" \[ { "id" 700, "member id" 1589, "title" "it university", "subtitle" "bachelor's degree, it, distinction", "date from" "2007", "date to" "2013", "activities and societies" null, "description" null, "created" "2016 07 22 14 27 29", "last updated" "2018 08 29 03 06 12", "deleted" 1, "school url" null } ] use "\\"{keyword}\\"" format to find exact matches exact match { "keyword" "\\"applied sciences\\"" } education description filter name data input type description usage education description s tring education experience description use it to find employee records with relevant education available operators and (both keywords need to be present) or (one or the other keyword is present) the keyword will be matched in the data for example, if you input py you will get results where py is present in the education description but not python example input no operator { "education description" "python" } and operator { "education description" "python and sql" } or operator { "education description" "python or (software engineering)" } example output example "member education collection" \[ { "id" 1139952383, "member id" 17591, "title" "quantitative portfolio management", "subtitle" "trading", "date from" "2015", "date to" null, "activities and societies" "\\n activities and societies traded personal portfolio using a mixture of etf, futures and options with positions gaining 128%+ adj gain and 13%+ on overall portfolio \n \", "description" "\\n quant analysis spanning equity, fixed income, options and commodities spaces with functional design based on structuring trades, systemic risk and executing positions according to valuations based on quantitative models in excel \& python\n \", "created" "2020 11 24 23 58 20", "last updated" "2021 10 07 04 07 30", "deleted" 1, "school url" null } ] education date from filter name data input type description usage education date from s tring enrolment date use it to find employee records based on the education start date/duration use the month yyyy or yyyy date format the output value will be greater than or equal to the input value if you prefer to see the date from field as null in the profile data, use the value 1000 with the filter alternatively, if you want the field to be !=null and don't have a date requirement, use the value 1001 with the filter example input format yyyy { "education date from" "2014" } format month yyyy { "education date from" "january 2014" } example output example "member education collection" \[ { "id" 92, "member id" 266, "title" "it universidad", "subtitle" "doctor en ciencias políticas y sociología, phd in political science and sociology", "date from" "2014", "date to" null, "activities and societies" null, "description" null, "created" "2016 07 22 14 26 10", "last updated" "2017 03 15 09 52 28", "deleted" 1, "school url" null } ] education date to filter name data input type description usage education date to s tring graduation date use it to find employee records based on the education end date/duration use the month yyyy or yyyy date format the output value will be less than or equal to the input value if you prefer to see the date from field as null in the profile data, use the value 1000 with the filter alternatively, if you want the field to be !=null and don't have a date requirement, use the value 1001 with the filter example input date format yyyy { "education date to" "2014" } date format month yyyy { "education date to" "january 2014" } example output example "member education collection" \[ { "id" 9, "member id" 26, "title" "english school", "subtitle" "be, electrical n electronics", "date from" "2004", "date to" "2008", "activities and societies" null, "description" null, "created" "2016 07 22 14 25 59", "last updated" "2018 05 09 16 49 53", "deleted" 1, "school url" null } ] education institution professional network url filter name data input type description example education institution professional network url s tring school's profile on professional network use it to find employee records according to their education example input education institution professional network url { "education institution professional network url" "https //www professional network com/school/university/" } example output example "member education collection" \[ { "id" 1129333547, "member id" 31334, "title" "university", "subtitle" "workshop in global leadership", "date from" "2020", "date to" null, "activities and societies" null, "description" null, "created" "2020 11 17 17 58 12", "last updated" "2021 07 24 23 29 21", "deleted" 1, "school url" "https //www professional network com/school/university/" } ]

Endpoints

Pagination