Introduction to Google SERP scraping per API

Our Google scraping API is based on HTTP(s) POST or GET calls to our API server. All API requests are self contained and do not require to keep a session or cookies.

Each API call costs 0.01 Credits to prevent overusage (about $1 per 1000 calls) in addition to possible additional charges.

Our Google and Bing scraping APIs are very similar, you can use the same code for both types of scraping.

Not a developer?
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API documentation

We use cURL and URL examples during most of the documentation.
We also provide PHP and Python source code examples to help you get started quickly.

Quick start

Steps to scrape keywords and export results

create_job
Create a job with a distinct name
modify_job
Populate the job with keywords, configure optional settings
start_job
Start the job, scraping will begin
get_job
Poll for finalization, optional
Export
Export all or all finished results in JSON or CSV format

Base URL

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_

                            # This base URL contains the credentials of your account

API credentials

URL: https://scraping.services/api
User: _USER@ACCOUNT_
Credentials: _CREDENTIALS_

The API request and response

Request

Let's start by taking a look at a simple request: license_info

The URI is "https://scraping.services/api" with a set of essential GET parameters:

user: your registered email address
credentials: your private api key
job_type: The specifies the API module to access, in our example "info"
task: The task specifies the function within the API module to call, in our example info->license_info
type: The return format. 'html' and 'json' are available, html is a pretty-printed JSON object formated for HTML inclusion
human_readable: by defining this parameter the JSON type data will be pretty printed without any HTML entities

Some API calls require more complicated structures to be passed, for example large keyword arrays.
In these cases the additional variables are supplied as JSON object encoded POST parameter.
It is up to the developer when to use the "json" parameter or when to supply the parameters as GET through the URI.

To see the 'json' parameter being used take a look at modify_job or the source code examples.

Response

The API response always contains two json objects: 'exceptions' and 'answer'.

exceptions: Empty on success, filled with one or more exceptions in case of an error.
answer: The API response object, in this example it contains information about the current active license

The API response can be converted into a native object or array by almost any programming language.

PHP: $array = json_decode($response,true)
Java: JSONObject jsonObject = new JSONObject(response);
JavaScript: var obj = JSON.parse(response);
C# and .NET: dynamic obj = JsonConvert.DeserializeObject(response);
Python: json.load(response)

License info request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=info&task=license_info&type=json&human_readable

License info request

cURL

                            curl -G https://scraping.services/api \

                            -d user=_USER@ACCOUNT_ \

                            -d credentials=_CREDENTIALS_ \

                            -d job_type=info \

                            -d task=license_info \

                            -d type=json \

                            -d human_readable

Response

JSON

                            {
  "exceptions": [],
  "answer":
  {
   "license":
    {
      "id": 1,
      "name": "1xsmall",
      "monthly_cost": "14.00",
      "monthly_credits": "100",
      "time_left": "386:31:46",
      "time_left_grace": "482:31:46"
    }
  }
}

Error response

JSON

                            {
  "exceptions": [
    {
      "exception_text": "Wrong username or password",
      "level": 10000,
      "unixtime": 1567743178,
      "error_id": 109
    }
  ],
  "answer": false
}

The scraping 'job'

When scraping Google for a collection of keywords you first create a 'job' with a limit of 200 unfinished jobs being held in your account.

The job contains all settings required to start the scraping run:

Identifier [Alphanumeric]
The identifier is a unique alphanumeric string, you can use the current time as a simple automated unique string.
Results per Keyword [Numeric] (100,200,300 up to 1000, default 100)
The number of organic results to scrape per keyword. It is recommended to keep this number below 300 as possible for best performance.
Priority [Numeric] (0-20, default 1)
The priority your job will receive among our scraping infrastructure, higher priority will reduce the time required to deliver results but increases the credit cost.
A priority of 0 results in a significant credit cost reduction but only idle resources will be allocated to your job. This can result in unpredictable time to complete the Job.
Jobs below 1000 keywords do not benefit from a higher priority than 2, the shortest finialization time is always up to 60 seconds.
Localization - Country [Country] (default 'Default')
The Google country to scrape results from (see create_job Api documentation)
Localization - Language [Language] (default 'English')
The localized language used during scraping, the language needs to fit to the selected country to receive accurate results.
Keywords [Array]
Your keywords and key phrases to scrape from Google

A scraping job

JSON

                            "job": {
    "jobname": "G09/06/2019 15:52",
    "created": "2019-09-06 15:53:03",
    "job_type": "scrape_google_search",
    "max_results": 200,
    "estimated_keywords": 1,
    "priority": 1,
    "finished": "2019-09-06 15:53:53",
    "credit_cost": "0.65",
    "start": 1,
    "progress": 100,
    "total_keywords": 1,
    "total_results": 1,
    "pages": 1,
    "total_pages": 1,
    "estimated_hours_left": "0.00",
    "estimated_hours_left_hr": "0h 0m",
    "country": "Default",
    "language": "English"
}

Api call: get_jobs

This API call will return up to 50 latest jobs. All details about the jobs are included except the keywords,result data and current scraping progress.
To track the progress of a specific job in detail you need to use 'get_job' instead.

The right sided response example shows an account containing two jobs. The latest job was started and is finished, the second job was never started.

The 'progress' variable using get_jobs will only return 0(%) for unfinished or unstarted jobs or 100(%) for finished jobs.

API request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=get_jobs&type=json&human_readable

Response

JSON

                            {
    "exceptions": [],
    "answer": {
        "jobs": [
            {
                "jobname": "G09/06/2019 15:52",
                "created": "2019-09-06 15:53:03",
                "job_type": "scrape_google_search",
                "max_results": 200,
                "estimated_keywords": 1,
                "priority": 1,
                "finished": "2019-09-06 15:53:53",
                "credit_cost": "0.65",
                "start": 1,
                "progress": 100
            },
            {
                "jobname": "G04/21/2019 15:09",
                "created": "2019-04-21 15:09:26",
                "job_type": "scrape_google_search",
                "max_results": 1000,
                "estimated_keywords": 1,
                "priority": 1,
                "finished": "0000-00-00 00:00:00",
                "credit_cost": "0.65",
                "start": 0,
                "progress": 0
            }
        ]
    }
}

Api call: get_job

The API call get_job is used to retrieve details about one specific job.

This is used to track the current progress or the estimated finishing time.

In most use cases this call will not be required

The only difference to 'get_jobs' is that you specify the unique 'jobname'

API request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=get_job&jobname=_JOBNAME_&type=json&human_readable

API request

cURL

                            curl -G https://scraping.services/api \

                            -d user=_USER@ACCOUNT_ \

                            -d credentials=_CREDENTIALS_ \

                            -d job_type=scrape_google_search \

                            -d task=get_job \

                            --data-urlencode jobname='G09/06/2019 15:52' \

                            -d type=json \

                            -d human_readable

A scraping job

JSON

                            "job": {
    "jobname": "G09/06/2019 15:52",
    "created": "2019-09-06 15:53:03",
    "job_type": "scrape_google_search",
    "max_results": 200,
    "estimated_keywords": 1,
    "priority": 1,
    "finished": "2019-09-06 15:53:53",
    "credit_cost": "0.65",
    "start": 1,
    "progress": 100,
    "total_keywords": 1,
    "total_results": 1,
    "pages": 1,
    "total_pages": 1,
    "estimated_hours_left": "0.00",
    "estimated_hours_left_hr": "0h 0m",
    "country": "Default",
    "language": "English"
}

Error response

JSON

                            {
    "exceptions": [
        {
            "exception_text": "Job does not exist",
            "level": 10000,
            "unixtime": 1567786831,
            "error_id": 10013
        }
    ],
    "answer": {
        "job": false
    }
}

Api call: get_keywords

This call is used to retrieve all keywords of a particular job, they will be separated into "finished" and "unfinished"
get_keywords is used to retrieve keywords that have been left unfinished in an aborted job.
Available response types are: html, csv, json

License info request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=get_keywords&jobname=_JOBNAME_&type=json&human_readable

Response

JSON

                            {
  "exceptions": [],
  "answer":
  {
    "keywords":
    {
      "jobname": "demo_job",
      "job_type": "scrape_google_search",
      "keywords_finished": ["keyword1","keyword2","keyword3"],
      "keywords_unfinished": ["keyword4","keyword5","keyword6"],
    }
 }
}

Api call: create_job

To create jobs a JSON encoded array called 'json' needs to be added into the form data.
It is recommended to send all parameters as POST data instead of GET but both methods may be used.

Jobname

The 'jobname' parameter is used to define a unique name for the new job, you may also use a timestamp.
The 'jobname' is used to access and modify the job or export results.

Language and country to use

It is not recommended to use non default 'language' and 'country' parameters, Google makes scraping keywords in bulk much more difficult on non default languages.

Countries

                            defaultAfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos (Keeling) IslandsColombiaComorosCongoCongo, the Democratic Republic of theCook IslandsCosta RicaCote D'ivoireCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFalkland Islands (Malvinas)Faroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuineaGuinea-BissauGuyanaHaitiHeard Island and Mcdonald IslandsHoly See (Vatican City State)HondurasHong KongHungaryIcelandIndiaIndonesiaIran, Islamic Republic ofIraqIrelandIsraelItalyJamaicaJapanJordanKazakhstanKenyaKiribatiKorea, Democratic People's Republic ofKorea, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyan Arab JamahiriyaLiechtensteinLithuaniaLuxembourgMacaoMacedonia, the Former Yugosalv Republic ofMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesia, Federated States ofMoldova, Republic ofMonacoMongoliaMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNetherlands AntillesNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorthern Mariana IslandsNorwayOmanPakistanPalauPalestinian Territory, OccupiedPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarReunionRomaniaRussian FederationRwandaSaint HelenaSaint Kitts and NevisSaint LuciaSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbia and MontenegroSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSpainSri LankaSudanSurinameSvalbard and Jan MayenSwazilandSwedenSwitzerlandSyrian Arab RepublicTaiwan, Province of ChinaTajikistanTanzania, United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUnited States Minor Outlying IslandsUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands, BritishVirgin Islands, U.S.Wallis and FutunaWestern SaharaYemenZambia

Languages

                            AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBihariBosnianBretonBulgarianCambodianCatalanChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFaroeseFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGuaraniGujaratiHausaHebrewHindiHungarianIcelandicIndonesianInterlinguaIrishItalianJapaneseJavaneseKannadaKazakhKinyarwandaKirundiKoreanKurdishKyrgyzLaothianLatinLatvianLingalaLithuanianMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMoldavianMongolianMontenegrinNepaliNorwegianNorwegian (Nynorsk)OccitanOriyaOromoPashtoPersianPolishPortuguese (Brazil)Portuguese (Portugal)PunjabiQuechuaRomanianRomanshRussianScots GaelicSerbianSerbo-CroatianSesothoShonaSindhiSinhaleseSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTatarTeluguThaiTigrinyaTongaTurkishTurkmenTwiUighurUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu

Feel free to contact customer support for more information regarding this topic.

Results per keyword

The 'max_results' parameter defines the number of results to scrape, it's recommended to keep this parameter below 400 for best performance.
Possible values are 100, 200, .. 1000

The correct method for scraping large amounts of data on one keyword is to multiply the keyword with additional words.

Scraping priority and speed

The 'priority' parameter defines the resources our backend will spend on your job, in most cases priority 1 is recommended.
Priority 0 is a standby setting at significantly reduced Credit cost, jobs started with priority 0 are not guaranteed to finished or finish within any timeframe as they use only spare resources.
Priority higher than 1 is not recommended for jobs with less than 1000 keywords.

The JSON parameter to define a job

JSON

                            {
    "job_type" : "scrape_google_search",
    "language" : "English",
    "country" : "default",
    "max_results" : 100,
    "jobname" : "demo_job",
    "priority" : 1
}

Request (POST)

cURL

                            curl -X POST https://scraping.services/api \

                            -d user=_USER@ACCOUNT_ \

                            -d credentials=_CREDENTIALS_ \

                            -d job_type=scrape_google_search \

                            -d task=create_job \

                            --data-urlencode json='
{
    "job_type" : "scrape_google_search",
    "language" : "English",
    "country" : "default",
    "max_results" : 100,
    "jobname" : "demo_job",
    "priority" : 1
}' \

                            -d type=json \

                            -d human_readable

Response

JSON

                            {
    "exceptions": [],
    "answer": {
        "job": {
            "jobname": "demo_job",
            "start": 0,
            "job_type": "scrape_google_search"
        }
    }
}

Api call: remove_job

The API call may be used to remove a job from your account, only jobs that have not been started can be removed.

Our support team can provide removal rights on finished jobs if required.

API request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=remove_job&jobname=_JOBNAME_&type=json&human_readable

Response

JSON

                            {
  "exceptions": [],
  "answer":
  [
    true
  ]
}

Api call: modify_job

After create_job the job needs to be populated with keywords, modify_job is used to append or replace keywords within an existing job.

Similar to 'create_job', a JSON encoded object is appended including the keywords.
'keyword_operation' may be set to 'replace' or 'append'

A Job may be modified, extended or deleted until it has been started.

The JSON parameter to modify a job

JSON

                            {
  "job_type" : "scrape_google_search",
  "language" : "English",
  "country" : "default",
  "max_results" : 200,
  "jobname" : "demo_job",
  "priority" : 2,
  "keywords" :
  [
    "keyword 1",
    "keyword 2",
    "keyword 3"
  ],
  "keyword_operation" : "replace"
}

Request (POST)

cURL

                            curl -X POST https://scraping.services/api \

                            -d user=_USER@ACCOUNT_ \

                            -d credentials=_CREDENTIALS_ \

                            -d job_type=scrape_google_search \

                            -d task=modify_job \

                            --data-urlencode json='
{
  "job_type" : "scrape_google_search",
  "language" : "English",
  "country" : "default",
  "max_results" : 200,
  "jobname" : "demo_job",
  "priority" : 2,
  "keywords" :
  [
    "keyword 1",
    "keyword 2",
    "keyword 3"
  ],
  "keyword_operation" : "replace"
}' \

                            -d type=json \

                            -d human_readable

Response

JSON

                            {
  "exceptions": [],
  "answer":
  {
    "job":
    {
      "jobname": "demo_job",
      "max_results": 200,
      "priority": 2,
      "job_type": "scrape_google_search",
      "estimated_keywords": 3,
      "credit_cost": 0.9
    }
  }
}

Api call: start_job

Any created job that contains keywords may be started at any time.
Once started, the job is locked from further modification and will immediately deduct the credit cost from your wallet.
Such an action is non refundable and can not be interrupted anymore.

Once a job was started it can be monitored using the "get_job" API call to see how many keywords are already finished.
It is possible to download the keyword results using "get_results" while a job is running.
Scraped keyword results are stored for 14 days, once this timespan has passed the detail information will be removed.

API request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=start_job&jobname=_JOBNAME_&type=json&human_readable

Response

JSON

                            {
  "exceptions": [],
  "answer":
  {
    "job":
    {
      "jobname": "demo_job",
      "start": "1",
      "job_type": "scrape_google_search",
      "credit_cost": "0.90"
    }
  }
}

Api call: get_results (deprecated)

This API call is deprecated since 2018, consider using the more flexible Export API

Using this call keyword results are downloaded in pages, each page contains 50 keyword results to prevent JSON parsing memory issues.
The estimated download size is between 1 and 10 MB per page.

The optional parameter 'result_per_keyword_quantity' is an method to limit the amount of results per keyword.
The optional parameter 'page_quantity' is an method to adjust the number of keyword results from 50 to a higher or lower value.
(50 keywords at 100+ results/keyword, 5000 kewords at 1 results/keyword). each 50 keywords are internally generating an API call (0.01 Credits charge)

The API response object contains an array "keyword_results" with up to 50 keyword results.
Each keyword_result contains information about the keyword as well as all organic results and advertisement results, again in form of two arrays.

The return object

keyword_results: is an array of objects, each object is one keyword
- count_organic: the number of organic (normal) results for this keyword
- count_creative: the number of advertisements for this keyword
- language: the language code
- country: the country code
- keyword: the keyword
- resultstats: the number of results reported for each page (array)
- results_organic:
  - url: The URL
  - title: The title
  - description: The result description
  - flags: (array) reports found Google flags ("this site was hacked", "this site my be harmful")
  - page: The page of this keyword (by default we scrape 100 keywords per page)
  - sitelinks: An array with possible sitelinks
    A array containing all Google sitelinks with url, title, description each
results_creative: an array identical to results_organic
page: the current page of results requested (containing up to 50 keywords each containing up to 1000 results)
pages_available: the number of total pages currently available
pages_expected: the number of total pages expected when the job finished

API request

URL

                            https://scraping.services/api?user=_USER@ACCOUNT_&credentials=_CREDENTIALS_&job_type=scrape_google_search&task=get_results&jobname=_JOBNAME_&type=json&human_readable

Response

JSON

                            {
  "results":
  {
    "exceptions": [],
    "answer": {
    "jobname": "demo_test_2",
    "job_type": "scrape_google_search",
    "keyword_results":
    [
      {
        "count_organic": 101,
        "count_creative": 0,
        "language": "en",
        "country": "Default",
        "keyword": "A Chip on Your Shoulder",
        "resultstats": {
                        "1": "799000",
                        "2": "650000"
                       },
 "results_organic":
 [
 {
 "url": "https:\/\/en.wikipedia.org\/wiki\/Chip_on_shoulder",
 "title": "Chip on shoulder - Wikipedia",
 "description": "To have a chip on one's shoulder refers to the act of holding a grudge or grievance that readily provokes disputation.",
 "sitelinks": [],
 "flags": {
           "hacked": 0,
            "harmful": 0
          },
 "page": 1

 },
 {
 "url": "https:\/\/en.wikipedia.org\/wiki\/Chip_on_shoulder",
 "title": "Chip on shoulder - Wikipedia",
 "description": "",
 "sitelinks": [],
 "flags": {
           "hacked": 0,
            "harmful": 0
          },
 "page": 1
},
 {
 "url": "https:\/\/en.wikipedia.org\/wiki\/Chip_on_shoulder",
 "title": "Chip on shoulder - Wikipedia",
 "description": "To have a chip on one's shoulder refers to the act of holding a grudge or grievance that readily provokes disputation.",
 "sitelinks": [],
 "flags": {
           "hacked": 0,
            "harmful": 0
          },
 "page": 1

 },
 {
 "url": "http:\/\/dictionary.cambridge.org\/us\/dictionary\/english\/have-a-chip-on-your-shoulder",
 "title": "have a chip on your shoulder Definition in the Cambridge English ...",
 "description": "have a chip on your shoulder definition, meaning, what is have a chip on your shoulder: to seem angry all the time because you think you have been treated ...",
 "sitelinks": [],
 "flags": {
           "hacked": 0,
            "harmful": 0
          },
 "page": 1

 } /*,... additional results*/
 ],
 "results_creative": []
 } /*,... additional keywords*/
 ],
 "page": 1,
 "pages_expected": 1,
 "pages_available": 1
 }
 }
}

Google Knowledgegraph

Google Knowledge Graph results are part of the JSON Google result data.

Available categories

Persons
Companies
Cities
Restaurants and shopping
Books and Movies
Attractions
Locations and weather information

Possible content

image_logo_src - a link to the main image
location_href - a link to the google map pinpoint
location_img_src - a link to the google map image thumbnail
header_text - the main headline
header_sub_text - the sub headline
website_href - the website URL
address_text - the address
phone_text - the phone number
times_open - an array of opening times containing 'day' and 'time'.
description - a description which might come from wikipedia, IMDB or somewhere else
weather_info - the current weather
population_info - the population
items_of_interest=[] - an array with most related keywords (more attractions, related actors, all movies or books from a series, etc.)
height_text - architectural height
opened_info - when an attraction was opened first
review_rating - a numeric review rating ("4,7")
currency_info - the currency used at the location
location_area_info - square meters or similar
organization_founded_info - when an org was founded
location_architects_info - the architect(s) of a building/attraction
person_born_info - when a person was born
person_deceased_info - when a person has died
book_published_info - when a book was published
company_stock_info - N/A (currently disabled)

Response for keyword "Obama"

JSON

                            "result_knowledge": {
                        "image_logo_src": "https:\/\/lh6.googleusercontent.com\/-2lJYGtfXKwQ\/AAAAAAAAAAI\/AAAAAAAB2HQ\/QSmIw0nQN_c\/s0-c-k-no-ns\/photo.jpg",
                        "header_text": "Barack Obama",
                        "header_sub_text": "44th U.S. President",
                        "times_open": [],
                        "description": "Barack Hussein Obama II is an American politician who served as the 44th President of the United States from 2009 to 2017. He was the first African American to serve as president, as well as the first born outside the contiguous United States. Wikipedia ",
                        "items_of_interest": [
                            "Barack Obama was the 44th and Donald Trump is the 45th President of the United States.",
                            "Hillary Clinton",
                            "Barack Obama and Michelle Obama have been married since 1992.",
                            "Ann Dunham was Barack Obama's mother.",
                            "Vladimir Putin"
                        ],
                        "person_born_info": "August 4, 1961 (age 55 years), Kapiolani Medical Center for Women and Children, Honolulu, HI",
                        "person_education_info": "Harvard Law School (1988–1991), More"
                    }

Response for keyword "Ferrari"

JSON

                            "result_knowledge": {
                        "image_logo_src": "http:\/\/lh5.googleusercontent.com\/-SnTKdWZA8NI\/VWSg3sycQ6I\/AAAAAAAAACk\/37STRepzvJM5uuLfSs793X4Feo_CI1HJgCJkC\/s241-k-no\/",
                        "location_href": "https:\/\/www.google.com\/maps\/place\/MAG+Ferrari+In+Columbus,+Ohio\/@40.099688,-83.125521,15z\/data=!4m2!3m1!1s0x0:0x2ac116cff7ca4e58?sa=X&ved=0ahUKEwifqZeGy-XRAhUM7YMKHevBBQEQ_BII8wUwfA",
                        "location_img_src": "https:\/\/www.google.com\/maps\/vt\/data=RfCSdfNZ0LFPrHSm0ublXdzhdrDFhtmHhN1u-gM,oQRzStoSkLpDIbvDpw9QlO3VnR7-oeqWzIo7ofJbM-zACv_FTzt7ishssYouQq_AXBXkLbKUZbiHQ_7CzU4C1Dxr5Uzv4rs935AuzFkVvuhGcQ-EdBJhM_xRRlJ0QkCEHkn6P6Q",
                        "header_text": "Ferrari S.p.A.MAG Ferrari In Columbus, Ohio",
                        "header_sub_text": "Car manufacturer",
                        "website_href": "http:\/\/www.dublin.ferraridealers.com\/",
                        "address_text": "5035 Post Rd, Dublin, OH 43017",
                        "phone_text": "Phone:(614) 389-5557",
                        "times_open": [
                            {
                                "day": "Saturday",
                                "time": "9AM–6PM"
                            },
                            {
                                "day": "Sunday",
                                "time": "Closed"
                            },
                            {
                                "day": "Monday",
                                "time": "9AM–7PM"
                            },
                            {
                                "day": "Tuesday",
                                "time": "9AM–7PM"
                            },
                            {
                                "day": "Wednesday",
                                "time": "9AM–7PM"
                            },
                            {
                                "day": "Thursday",
                                "time": "9AM–7PM"
                            },
                            {
                                "day": "Friday",
                                "time": "9AM–6PM"
                            }
                        ],
                        "description": "Ferrari S.p.A. is an Italian sports car manufacturer based in Maranello. Founded by Enzo Ferrari in 1939 as Auto Avio Costruzioni, the company built its first car in 1940. Wikipedia ",
                        "items_of_interest": [
                            "Lamborghini",
                            "Maserati",
                            "Tesla Motors",
                            "Bugatti Automobiles",
                            "Porsche"
                        ],
                        "organization_founded_info": "September 13, 1939, Maranello, Italy"
                    }

City-level geolocation

Beta

For Google Seach we also provide Image results and Geolocation by city.

When using geolocation it is highly recommended to use the same location on each keyword within one job to prevent Google blocking your search.

These modes are activated by special parameters inside the keyword itself.

Refer to the FAQ for details:
https://scraping.services/?faq&topic=Keyword%20scraping&chapter=Country%20and%20City%20geolocation
https://scraping.services/?faq&topic=Keyword%20scraping&chapter=Google%20Image%20search