Google News Scraper

dan.scraper/google-news-scraper

This actor extracts news articles from Google News. It can extract articles from a specific topics like 'World', 'Nation', 'Business', 'Technology', 'Entertainment'. Also extract articles from a specific news source like 'CNN', 'BBC', 'TechCrunch'. Scrape all elements from Google News page.

You can access the Google News Scraper programmatically from your own applications by using the Apify API. You can choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

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137          "queries": {
138            "title": "Search Queries",
139            "type": "array",
140            "description": "List of Google News search query",
141            "default": [
142              "Nvidia",
143              "Elon Musk"
144            ],
145            "items": {
146              "type": "string"
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148          },
149          "countryCode": {
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154              "al",
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156              "as",
157              "ad",
158              "ao",
159              "ai",
160              "aq",
161              "ag",
162              "ar",
163              "am",
164              "aw",
165              "au",
166              "at",
167              "az",
168              "bs",
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170              "bd",
171              "bb",
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175              "bj",
176              "bm",
177              "bt",
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179              "ba",
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184              "bn",
185              "bg",
186              "bf",
187              "bi",
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232              "de",
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234              "gi",
235              "gr",
236              "gl",
237              "gd",
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240              "gt",
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258              "jm",
259              "jp",
260              "jo",
261              "kz",
262              "ke",
263              "ki",
264              "kp",
265              "kr",
266              "kw",
267              "kg",
268              "la",
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270              "lb",
271              "ls",
272              "lr",
273              "ly",
274              "li",
275              "lt",
276              "lu",
277              "mo",
278              "mk",
279              "mg",
280              "mw",
281              "my",
282              "mv",
283              "ml",
284              "mt",
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372              "tc",
373              "tv",
374              "ug",
375              "ua",
376              "ae",
377              "gb",
378              "us",
379              "um",
380              "uy",
381              "uz",
382              "vu",
383              "ve",
384              "vn",
385              "vg",
386              "vi",
387              "wf",
388              "eh",
389              "ye",
390              "zm",
391              "zw"
392            ],
393            "type": "string",
394            "description": "This param is for the Country (e.g. <code>es</code> for Spain). The values must be lower-cased <a href=\"https://en.wikipedia.org/wiki/ISO_3166-1_alpha-2\" target=\"_blank\">ISO 3166</a> country codes supported by Google. By default, the actor uses United States (<code>us</code>).<br><br><b>Notice</b>: To get Google Shopping results from a location, please use UULE code. If you choose <code>countryCode</code> as <code>es</code> without setting <code>locationUule</code>, you will get the results from United States(default search location). To get results from Spain, you need to set <code>locationUule</code> to <code>w+CAIQICIFU3BhaW4=</code>"
395          },
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401              "sq",
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409              "bs",
410              "bg",
411              "ca",
412              "zh-CN",
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420              "et",
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456              "pt-BR",
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460              "ru",
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467              "su",
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474              "ti",
475              "tr",
476              "uk",
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478              "uz",
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480              "cy",
481              "xh",
482              "zu"
483            ],
484            "type": "string",
485            "description": "Language for the search results, which is passed to Google Search as the <code>hl</code> URL query parameter. Only set this if you want to use a non-default language for the selected country. The values must be lower-cased <a href=\"https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes\" target=\"_blank\">ISO 639</a> language codes supported by Google.",
486            "default": ""
487          },
488          "topicId": {
489            "title": "Topic ID",
490            "type": "string",
491            "description": "Specify Topic likes Sports, Business, Technology etc. We return topicId in the each response or you can find it in the URL of Google News. If Google News URL is <code>https://news.google.com/topics/CAAqIggKIhxDQkFTRHdvSkwyMHZNRGxqTjNjd0VnSmxiaWdBUAE?hl=en-US&gl=US&ceid=US%3Aen</code>, topicId is <code>CAAqIggKIhxDQkFTRHdvSkwyMHZNRGxqTjNjd0VnSmxiaWdBUAE</code>"
492          },
493          "publicationId": {
494            "title": "Publication ID",
495            "type": "string",
496            "description": "Specify Publication likes The New York Time, CNBC, CNN etc. We return publicationId in the each response or you can find it in the URL of Google News. If Google News URL is <code>https://news.google.com/publications/CAAqBwgKMNjW9wow4r3XAg?hl=en-US&gl=US&ceid=US%3Aen</code>, publicationId is <code>CAAqBwgKMNjW9wow4r3XAg</code>"
497          },
498          "sectionId": {
499            "title": "Section ID",
500            "type": "string",
501            "description": "Specify Section ID. Each Topic has multiple sections likes 'Technology -> Artificial Intelligence', 'Technology -> Mobile', etc. We return sectionId in the each response or you can find it in the URL of Google News. If Google News URL is <code>https://news.google.com/topics/CAAqJggKIiBDQkFTRWdvSUwyMHZNRGRqTVhZU0FtVnVHZ0pWVXlnQVAB/sections/CAQiQ0NCQVNMQW9JTDIwdk1EZGpNWFlTQW1WdUdnSlZVeUlOQ0FRYUNRb0hMMjB2TUcxcmVpb0pFZ2N2YlM4d2JXdDZLQUEqKggAKiYICiIgQ0JBU0Vnb0lMMjB2TURkak1YWVNBbVZ1R2dKVlV5Z0FQAVAB?hl=en-US&gl=US&ceid=US%3Aen, sectionId is <code>CAQiQ0NCQVNMQW9JTDIwdk1EZGpNWFlTQW1WdUdnSlZVeUlOQ0FRYUNRb0hMMjB2TUcxcmVpb0pFZ2N2YlM4d2JXdDZLQUEqKggAKiYICiIgQ0JBU0Vnb0lMMjB2TURkak1YWVNBbVZ1R2dKVlV5Z0FQAVAB</code>"
502          },
503          "storyId": {
504            "title": "Story ID",
505            "type": "string",
506            "description": "Specify Story ID. Each news story has a unique storyId. We return storyId in the each response or you can find it in the URL of Google News. If Google News URL is <code>https://news.google.com/stories/CAAqNggKIjBDQklTSGpvSmMzUnZjbmt0TXpZd1NoRUtEd2pkaHNLdURSSEkzeU1HYWdwQ3VDZ0FQAQ?hl=en-US&gl=US&ceid=US%3Aen</code>, storyId is <code>CAAqNggKIjBDQklTSGpvSmMzUnZjbmt0TXpZd1NoRUtEd2pkaHNLdURSSEkzeU1HYWdwQ3VDZ0FQAQ</code>"
507          },
508          "sort": {
509            "title": "Sort By",
510            "enum": [
511              "relevance",
512              "date"
513            ],
514            "type": "string",
515            "description": "Sort by parameter for Google News search results. The values must be one of the following: <code>relevance</code>, <code>date</code>",
516            "default": "relevance"
517          },
518          "csvFriendlyOutput": {
519            "title": "Output CSV friendly format",
520            "type": "boolean",
521            "description": "Include shopping results data, use for CSV format"
522          }
523        }
524      },
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534              "actId": {
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536              },
537              "userId": {
538                "type": "string"
539              },
540              "startedAt": {
541                "type": "string",
542                "format": "date-time",
543                "example": "2025-01-08T00:00:00.000Z"
544              },
545              "finishedAt": {
546                "type": "string",
547                "format": "date-time",
548                "example": "2025-01-08T00:00:00.000Z"
549              },
550              "status": {
551                "type": "string",
552                "example": "READY"
553              },
554              "meta": {
555                "type": "object",
556                "properties": {
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558                    "type": "string",
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561                  "userAgent": {
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637                  },
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641                  },
642                  "DATASET_WRITES": {
643                    "type": "integer",
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647                    "type": "integer",
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649                  },
650                  "KEY_VALUE_STORE_WRITES": {
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652                    "example": 1
653                  },
654                  "KEY_VALUE_STORE_LISTS": {
655                    "type": "integer",
656                    "example": 0
657                  },
658                  "REQUEST_QUEUE_READS": {
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662                  "REQUEST_QUEUE_WRITES": {
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665                  },
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668                    "example": 0
669                  },
670                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
671                    "type": "integer",
672                    "example": 0
673                  },
674                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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676                    "example": 0
677                  },
678                  "PROXY_SERPS": {
679                    "type": "integer",
680                    "example": 0
681                  }
682                }
683              },
684              "usageTotalUsd": {
685                "type": "number",
686                "example": 0.00005
687              },
688              "usageUsd": {
689                "type": "object",
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691                  "ACTOR_COMPUTE_UNITS": {
692                    "type": "integer",
693                    "example": 0
694                  },
695                  "DATASET_READS": {
696                    "type": "integer",
697                    "example": 0
698                  },
699                  "DATASET_WRITES": {
700                    "type": "integer",
701                    "example": 0
702                  },
703                  "KEY_VALUE_STORE_READS": {
704                    "type": "integer",
705                    "example": 0
706                  },
707                  "KEY_VALUE_STORE_WRITES": {
708                    "type": "number",
709                    "example": 0.00005
710                  },
711                  "KEY_VALUE_STORE_LISTS": {
712                    "type": "integer",
713                    "example": 0
714                  },
715                  "REQUEST_QUEUE_READS": {
716                    "type": "integer",
717                    "example": 0
718                  },
719                  "REQUEST_QUEUE_WRITES": {
720                    "type": "integer",
721                    "example": 0
722                  },
723                  "DATA_TRANSFER_INTERNAL_GBYTES": {
724                    "type": "integer",
725                    "example": 0
726                  },
727                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
728                    "type": "integer",
729                    "example": 0
730                  },
731                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
732                    "type": "integer",
733                    "example": 0
734                  },
735                  "PROXY_SERPS": {
736                    "type": "integer",
737                    "example": 0
738                  }
739                }
740              }
741            }
742          }
743        }
744      }
745    }
746  }
747}

Google News Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google News Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google News Scraper API in Python

Google News Scraper API in JavaScript

Google News Scraper API through CLI

Google News Scraper API

Developer

Scrape It

Actor Metrics

4 monthly users
0 No bookmarks yet
>99% runs succeeded
Created in Mar 2025
Modified 3 days ago

Categories

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Experience the fast and efficient Google News scraper! It can extract a large amount of items in seconds and requires only 256 MB of RAM to run.

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Google News Realtime Scraper

devisty/google-news

Provide real-time news and articles sourced from Google News

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aymorato/fast-google-news-scraper

Extract details from Google News articles, such as images, titles, links, and other relevant information.

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Google News Scraper Fast & cheap ⭐ (Pay per results) 📰⚡

scrapestorm/google-news-scraper-fast-cheap-pay-per-results

Unlock the power of the Google News scraper tool! 📰✨ Effortlessly gather news articles based on your chosen Keyword or topic 🔍. Get key details like the title 📝 source 🌐, publication time ⏰, images 🖼️, & direct links to the full articles 🔗perfect for staying informed and ahead of the curve! 🚀

Storm_Scraper

Google News Scraper FAST

data_xplorer/google-news-scraper-fast

⚡️ Extract real-time news including Images and Descriptions from Google News with our powerful scraper. Get comprehensive structured data including titles, sources, publication dates and full article summaries. Perfect for news monitoring, market research and content aggregation.

Data Xplorer

Awesome Google News Scraper

sync-network/awesome-google-news-scraper

This tool scrapes content from Google News, streamlining the collection of latest the information on any topic. Its key feature is the ability to extract full-length articles, not just headlines. Customize results from brief summaries to complete content, revolutionizing your news gathering process.

Alam

Google News Scraper - Cheap

bot_kevin/Google-News-Scraper

Easily scrape news from Google News page in .json format.

bot

Website Content Crawler

apify/website-content-crawler

Crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines. The Actor supports rich formatting using Markdown, cleans the HTML, downloads files, and integrates well with 🦜🔗 LangChain, LlamaIndex, and the wider LLM ecosystem.

Apify

40.2k

1.1k

Twitter (X.com) Scraper Unlimited: No Rate-Limits

apidojo/twitter-scraper-lite

Introducing Twitter Scraper Unlimited, the most comprehensive Twitter data extraction solution available. Our enterprise-grade scraper offers unmatched capabilities with a transparent event-based pricing model, making it perfect for both small-scale and large-scale data extraction needs.