langchain_community.utilities.google_search.GoogleSearchAPIWrapper¶

class langchain_community.utilities.google_search.GoogleSearchAPIWrapper[source]¶

Bases: BaseModel

Wrapper for Google Search API.

Adapted from: Instructions adapted from https://stackoverflow.com/questions/ 37083058/ programmatically-searching-google-in-python-using-custom-search

TODO: DOCS for using it 1. Install google-api-python-client - If you don’t already have a Google account, sign up. - If you have never created a Google APIs Console project, read the Managing Projects page and create a project in the Google API Console. - Install the library using pip install google-api-python-client

2. Enable the Custom Search API - Navigate to the APIs & Services→Dashboard panel in Cloud Console. - Click Enable APIs and Services. - Search for Custom Search API and click on it. - Click Enable. URL for it: https://console.cloud.google.com/apis/library/customsearch.googleapis .com

3. To create an API key: - Navigate to the APIs & Services → Credentials panel in Cloud Console. - Select Create credentials, then select API key from the drop-down menu. - The API key created dialog box displays your newly created key. - You now have an API_KEY

Alternatively, you can just generate an API key here: https://developers.google.com/custom-search/docs/paid_element#api_key

4. Setup Custom Search Engine so you can search the entire web - Create a custom search engine here: https://programmablesearchengine.google.com/. - In What to search to search, pick the Search the entire Web option. After search engine is created, you can click on it and find Search engine ID

on the Overview page.

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param google_api_key: Optional[str] = None¶
param google_cse_id: Optional[str] = None¶
param k: int = 10¶
param siterestrict: bool = False¶
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters

  • include – fields to include in new model

  • exclude – fields to exclude from new model, as with values this takes precedence over include

  • update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

  • deep – set to True to make a deep copy of the model

Returns

new model instance

dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

classmethod from_orm(obj: Any) → Model¶
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
classmethod parse_obj(obj: Any) → Model¶
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
results(query: str, num_results: int, search_params: Optional[Dict[str, str]] = None) → List[Dict][source]¶

Run query through GoogleSearch and return metadata.

Parameters

  • query – The query to search for.

  • num_results – The number of results to return.

  • search_params – Parameters to be passed on search

Returns

snippet - The description of the result. title - The title of the result. link - The link to the result.

Return type

A list of dictionaries with the following keys

run(query: str) → str[source]¶

Run query through GoogleSearch and parse result.

classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
classmethod update_forward_refs(**localns: Any) → None¶

Try to update ForwardRefs on fields based on this Model, globalns and localns.

classmethod validate(value: Any) → Model¶

Examples using GoogleSearchAPIWrapper¶