# Reuters Scraper | News Articles, Tickers and Journalists (`silentflow/reuters-scraper`) Actor Reuters scraper for news articles by keyword, stock ticker, section, journalist, link or date. Get full text, key points, tickers, companies and journalist emails and social profiles. 20 articles in 5 seconds, 26 fields each, in our 2026 test. Export JSON, CSV or Excel. No Reuters account needed. - **URL**: https://apify.com/silentflow/reuters-scraper.md - **Developed by:** [SilentFlow](https://apify.com/silentflow) (community) - **Categories:** News, Other, AI - **Features:** Limited permissions - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $12.75 / 1,000 articles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Reuters News Scraper | Articles, Full Text, Key Points, Tickers and Journalist Contacts by Keyword, Ticker or Date (2026) **Turn Reuters into a clean news dataset: find articles by keyword, stock ticker, section, journalist, link or date, and get each one read in full with its key points, tickers, companies and the contacts of the journalists who wrote it. 100 articles in 36 seconds in our test.** ### Why choose this actor? Copying Reuters links into a spreadsheet one at a time? Need every story about a stock, but only have its ticker? Building a media list and stuck guessing which reporter covers your beat, and how to reach them? - Find Reuters articles by keyword or stock ticker, no links needed. Type nvidia and the actor searches Reuters for you: 5,853 matching articles on 10 November 2026, the newest 20 read in full in 7 seconds. Type a ticker (NVDA.O, or simply AAPL) and you get the company's Reuters news feed: 6,550 articles are filed under NVDA.O. - Reach the journalists behind each story. Every author comes with what Reuters publishes about them: email, role, bio, X and LinkedIn profiles, plus the reporting and editing credits of the article. In a 100-article test, 87 of the 88 named journalists came with their email, 72 different addresses in all. - Skim the key points, or rebuild any date window. Reuters' own key-point bullets came back on 38 of 100 rows of that test, ready to triage without opening a page. Set dates alone and the actor reads the archive: 434 articles were published on 1 October 2026, and the first 15 were read in full in 7 seconds. ### Try your first article Paste this input and press Start. It searches Reuters for "nvidia" and reads the 20 newest articles in full. ```json { "searchQueries": ["nvidia"], "maxItems": 20 } ``` The Apify Free plan is enough to try it: a run like this one finishes in seconds and gives you a table you can download as JSON, CSV or Excel. ![How it works](https://api.apify.com/v2/key-value-stores/YXm81xySHg6uRkewS/records/reuters-scraper-how-it-works-v1.png) ### Copy to your AI assistant Paste this block into Claude, ChatGPT or Cursor so it knows how to use this actor: ``` You have access to the Reuters Scraper on Apify: silentflow/reuters-scraper What it does: finds Reuters news articles by keyword, stock ticker, section, journalist, link or publication date, in 7 language editions, then reads each article in full. One dataset row per article. Input (all optional, but give at least one keyword, link, ticker, section or date): - searchQueries (array of strings): keywords such as "nvidia", "federal reserve". - startUrls (array of {"url": "..."}): reuters.com article links, section pages (https://www.reuters.com/technology/), journalist pages (https://www.reuters.com/authors/julie-zhu/), company pages (https://www.reuters.com/markets/companies/NVDA.O/) or edition home pages (https://www.reuters.com/fr/, read as that edition's latest news). - tickers (array of strings): Reuters instrument codes such as "NVDA.O", "2330.TW", "VOD.L", or US tickers such as "AAPL", "NYSE:JPM" (plain tickers are looked up on Nasdaq, then NYSE). - edition (string, default "en"): en, de, es, fr, pt, it, ar. Language names work too ("German"). - sections (array of strings): latest, world, us, china, europe, middle-east, business, energy, finance, markets, deals, commodities, technology, ai, legal, sustainability, breakingviews, investigations, science, sports, lifestyle. "latest" = every new article of the edition. - dateFrom (string): "2026-10-01" or a span back from now such as "7 days". UTC. - dateTo (string): last day kept, included, "2026-10-31". Dates filter every feed. Dates alone (no keyword, link, ticker or section) read the archive. - sort (string, default "newest"): newest | oldest | relevance, for keyword searches. - maxItems (integer, default 100): total articles for the run, shared evenly between sources. Output per article (28 fields): - id (string, Reuters article id), url (string, permanent link), title (string), label (string or null: EXCLUSIVE, ANALYSIS, FACTBOX, BREAKINGVIEWS...) - description (string), keyPoints (array of strings), content (string or null, paragraphs separated by blank lines), language (en | de | es | fr | pt | it | ar), section (string), categories (array of strings, section path), topic (string or null) - tickers (array of strings, Reuters instrument codes), companies (array of strings) - authors (array of strings), authorProfiles (array of {name, role, bio, email, xUrl, linkedinUrl, url}), credits (string or null, "Reporting by ...; Editing by ...") - wordCount (integer), readMinutes (integer) - location (string or null, dateline city), publishedAt, updatedAt (RFC 3339 UTC strings) - imageUrl, imageCaption, imageCredit (strings or null) - isPremium (boolean), hasFullText (boolean), foundBy (string: "keyword: nvidia", "ticker: NVDA.O", "section: technology", "author: julie-zhu", "archive", "link"...), scrapedAt (RFC 3339) Use apify-client for Python or JavaScript, or the Apify API, to run it and read the dataset. ``` ### How to scrape Reuters news articles #### Get the latest Reuters coverage of a company The simplest run: one keyword, newest articles first, each read in full. ```json { "searchQueries": ["nvidia"], "maxItems": 20 } ``` #### Follow the Technology and AI sections for the last three days Pick sections from the list and set a start date: the actor reads each section newest first and stops once it reaches older news. ```json { "sections": ["technology", "ai"], "dateFrom": "3 days", "maxItems": 60 } ``` #### Track a watch list of stocks and one journalist over the past week Mix tickers, a journalist's page and dates. The run's limit is shared evenly between the sources, so one busy ticker does not crowd out the others. ```json { "tickers": ["NVDA.O", "AAPL", "NYSE:JPM"], "startUrls": [ { "url": "https://www.reuters.com/authors/julie-zhu/" } ], "dateFrom": "7 days", "maxItems": 100 } ``` ### Input parameters | Field | Type | Default | What it does | |-------|------|---------|--------------| | `searchQueries` | array of strings | prefilled `nvidia` | Keywords searched on Reuters: a company, a person, a theme. Newest first unless you change the sort. | | `startUrls` | array of links | none | reuters.com articles, sections, journalist pages, company pages or edition home pages. | | `tickers` | array of strings | none | Reuters instrument codes (`NVDA.O`, `2330.TW`) or US tickers (`AAPL`, `NYSE:JPM`). Reads the company's Reuters news feed. | | `edition` | string | `en` | Language edition for keywords, sections, latest news and the archive: English, German, Spanish, French, Portuguese, Italian or Arabic. | | `sections` | array | none | 21 sections, including Latest news, World, Business, Markets, Technology, Artificial Intelligence, Legal, Sustainability and Breakingviews. | | `dateFrom` | date | none | Keep articles published on or after this day, or a span such as `7 days`. | | `dateTo` | date | none | Keep articles published on or before this day, included. | | `sort` | string | `newest` | Order of keyword results: newest first, oldest first or most relevant. | | `maxItems` | integer | 100 | Total articles for the run, shared evenly between keywords, tickers, sections and feed links. Article links are always read. | #### Links the actor understands - **Article**: `https://www.reuters.com/world/asia-pacific/nvidia-ceo-jensen-huangs-woes-evoke-sympathy-disbelief-his-birthplace-taiwan-2026-11-10/`, read in full. - **Section**: `https://www.reuters.com/technology/`, `https://www.reuters.com/world/china/`, or a section of another edition such as `https://www.reuters.com/de/firma/`. - **Journalist**: `https://www.reuters.com/authors/julie-zhu/`, every article of that reporter, newest first. - **Company**: `https://www.reuters.com/markets/companies/NVDA.O/`, the company's news feed. - **Edition home page**: `https://www.reuters.com/es/`, read as the latest news of the Spanish edition. - **Search page**: `https://www.reuters.com/site-search/?query=federal+reserve`, read as the keyword. Links can be pasted with or without `https://` or `www.`, and tracking parameters are ignored. #### Tickers Reuters files company news under its own instrument codes (RICs): a symbol plus an exchange suffix, such as `NVDA.O` (Nasdaq), `JPM.N` (NYSE), `2330.TW` (Taiwan), `VOD.L` (London) or `7203.T` (Tokyo). Type the code when you know it. For US stocks a plain ticker works: `AAPL` is looked up as `AAPL.O`, then `AAPL.N`. `NASDAQ:AAPL` and `NYSE:JPM` are read too. The code shows in the address of the company's page on reuters.com. #### Dates Dates accept a day (`2026-10-01`), a full timestamp, or a span back from now (`24 hours`, `7 days`, `3 months`, `today`). All times are UTC. Dates filter every feed. With dates and nothing else, the actor reads the whole archive of the edition for that window, newest first (or oldest first with the sort set to oldest). ### What data can you extract from Reuters? Every row is one Reuters article with 28 fields, grouped the way you read them: | Group | Fields | |-------|--------| | Identity | `id`, `url`, `title`, `label` | | Content | `description`, `keyPoints`, `content`, `language`, `section`, `categories`, `topic` | | Companies | `tickers`, `companies` | | People | `authors`, `authorProfiles` (7 fields each: name, role, bio, email, xUrl, linkedinUrl, url), `credits` | | Measures | `wordCount`, `readMinutes` | | Place and time | `location`, `publishedAt`, `updatedAt` | | Media | `imageUrl`, `imageCaption`, `imageCredit` | | Meta | `isPremium`, `hasFullText`, `foundBy`, `scrapedAt` | What we measured on 100 articles (keywords "nvidia" and "oil", 10 November 2026): all 100 came with their full text, about 404 words on average. 95 carried their credits line, 96 a dateline city, 69 the companies named, 66 one or more tickers, 38 Reuters' key points and 31 a label such as EXCLUSIVE or ANALYSIS. Across their 88 named journalists, 87 had an email, 34 a role and a bio, 25 an X profile and 20 a LinkedIn profile. Good to know about the data: - `url` is the permanent address of the article and `id` is Reuters' own article id: both are stable keys for deduplication across runs. - `publishedAt` and `updatedAt` are RFC 3339 timestamps in UTC. - `content` is plain text, paragraphs separated by blank lines, section headers kept on their own line. - `tickers` are Reuters instrument codes in the order Reuters tags them; `companies` are the full company names Reuters links the article to. - Articles signed by the agency itself carry the author `Reuters`, with no contact fields. - A graphic or interactive page listed in a feed ships with its headline, summary, authors and dates, `hasFullText: false` and `content: null`. #### Output example ```json { "id": "TWZJIK7MXRLSPLR7QRBNT2CLPM", "url": "https://www.reuters.com/world/asia-pacific/nvidia-ceo-jensen-huangs-woes-evoke-sympathy-disbelief-his-birthplace-taiwan-2026-11-10/", "title": "Nvidia CEO Jensen Huang's woes evoke sympathy, disbelief in his birthplace Taiwan", "label": null, "description": "Nvidia CEO Jensen Huang is drawing both sympathy and disbelief in his birthplace Taiwan, where he has rock star status, after dramatic revelations of his affair with a woman who could have been a Chinese spy.", "keyPoints": [ "Huang was born in southern Taiwan's Tainan", "Wildly popular in Taiwan, Huang is mobbed wherever he goes", "Taiwan is the base for many of Nvidia's major suppliers" ], "content": "Nvidia (NVDA.O) CEO Jensen Huang is drawing both sympathy and disbelief in his birthplace Taiwan, where he has rock star status, after dramatic revelations of his affair with a woman who could have been a Chinese spy.\n\nWhenever he visits, adoring fans and excited reporters follow, hanging on every word from the most prolific salesman of the AI boom, in a trend domestic media call \"Jensanity\".\n\n...", "language": "en", "section": "World", "categories": ["World", "Asia Pacific"], "topic": "Nvidia", "tickers": ["2330.TW", "NVDA.O"], "companies": ["NVIDIA Corporation", "Taiwan Semiconductor Manufacturing Company Limited"], "authors": ["Yi-Chin Lee", "Ann Wang"], "authorProfiles": [ { "name": "Yi-Chin Lee", "role": null, "bio": null, "email": "Yi-Chin.Lee@thomsonreuters.com", "xUrl": null, "linkedinUrl": null, "url": "https://www.reuters.com/authors/yi-chin-lee/" }, { "name": "Ann Wang", "role": null, "bio": null, "email": "ann.wang@thomsonreuters.com", "xUrl": null, "linkedinUrl": null, "url": "https://www.reuters.com/authors/ann-wang/" } ], "credits": "Reporting by Yi-Chin Lee and Ann Wang; Writing and additional reporting by Ben Blanchard; Editing by Clarence Fernandez and Louise Heavens", "wordCount": 493, "readMinutes": 3, "location": "TAIPEI", "publishedAt": "2026-11-10T08:47:55Z", "updatedAt": "2026-11-10T09:36:09Z", "imageUrl": "https://cloudfront-us-east-2.images.arcpublishing.com/reuters/TGIPLCC7FNIP3N6ICWSMHUJI2Q.jpg", "imageCaption": "Hsiao Kui-yu, 68, owner of Yuchan Candied Fruit, stands in front of photographs of Nvidia CEO Jensen Huang displayed at the shop, which Huang frequently visits during trips to Taiwan, in Taipei, Taiwan, November 10, 2026. REUTERS/Ann Wang", "imageCredit": "Ann Wang", "isPremium": false, "hasFullText": true, "foundBy": "keyword: nvidia", "scrapedAt": "2026-11-10T10:23:47Z" } ``` ### Advanced usage #### Build a media list for your beat Search the theme you pitch, then open the Journalists view of the dataset: each row lists the authors with their email, role, X and LinkedIn. Deduplicate on `email` and you have the reporters who actually cover the topic, ranked by how often they write about it. ```json { "searchQueries": ["private credit", "leveraged buyout"], "dateFrom": "3 months", "maxItems": 300 } ``` #### Feed a daily news file for a portfolio Schedule this input every morning: it reads the last day of Reuters news for each stock, and `tickers` on every row tells you which other companies each story touches. ```json { "tickers": ["NVDA.O", "MSFT.O", "AAPL", "TSM.N", "ASML.AS"], "dateFrom": "1 day", "maxItems": 150 } ``` #### Rebuild a story from its first article Sort a keyword oldest first inside a date window to read how Reuters covered an event as it unfolded, a clean, dated corpus for a backtest or a timeline. ```json { "searchQueries": ["anthropic ipo"], "dateFrom": "2026-09-01", "dateTo": "2026-11-10", "sort": "oldest", "maxItems": 200 } ``` #### Monitor Reuters in another language Pick an edition and the keywords, sections and latest news are read from it. Here, the Spanish edition's newest articles plus its coverage of Mexico, each with its text in Spanish. ```json { "edition": "es", "sections": ["latest"], "searchQueries": ["MΓ©xico"], "maxItems": 50 } ``` #### Ground an AI assistant in a month of Reuters coverage Dates alone read every article the edition published in the window. Pull a day or a month, then index `content` and `keyPoints` in your vector store; `url` and `publishedAt` give each answer its source and date. ```json { "dateFrom": "2026-10-01", "dateTo": "2026-10-07", "maxItems": 2500 } ``` ### FAQ **What is Reuters?** Reuters is the news agency of Thomson Reuters, one of the largest in the world. Its articles are the raw material of financial terminals, newspapers and newsrooms, and reuters.com publishes them in English plus German, Spanish, French, Portuguese, Italian and Arabic editions. **Do I need a Reuters account or an API key?** No. The actor reads the public reuters.com pages any reader can open. No login, no key, nothing to set up. Reuters' official feeds are sold under contract; this actor gives you the same articles a visitor sees, as structured rows. **What can I search by?** Keywords, stock tickers, sections, journalists, links and dates, in any mix in one run. Each row's `foundBy` field tells you which of your inputs found it. **How far back can I go?** As far as Reuters lists. A popular keyword holds thousands of articles (5,853 for "nvidia", 32,165 for "federal reserve", 74,632 for "oil" on 10 November 2026), and an oldest-first search went back to 2020 in our tests. Dates alone read the archive of an edition: the English edition published 9,971 articles in October 2026. **Why do some rows have no key points, tickers or label?** Reuters adds key-point bullets to part of its stories only (38 of 100 in our test), tags tickers only when a listed company is involved (66 of 100), and prints a label such as EXCLUSIVE or ANALYSIS on some articles. When Reuters gives nothing, the field is an empty list or `null`, never a blank text. **Are the journalist emails reliable?** They are the addresses Reuters publishes on its own author pages, delivered as published. In our 100-article test, 87 of 88 named journalists had one. Wire stories signed "Reuters" have no personal contact. **Can I scrape several keywords or tickers in one run?** Yes. The run's limit is shared evenly between your keywords, tickers, sections and feed links, and a source with fewer articles leaves its share to the next ones. An article found by two sources is delivered once. **Which languages are covered?** English, German, Spanish, French, Portuguese, Italian and Arabic, the editions of reuters.com. Pick one with the edition field, or paste a link from any of them. Search the Arabic edition with Arabic keywords. Company feeds by ticker come from the English edition. **What does isPremium mean?** It marks the articles Reuters flags as subscriber content, such as Breakingviews columns. The row carries the article as reuters.com serves it with the page. **What happens with graphics, videos and live pages?** A graphic or interactive page found in a feed still ships with its headline, summary, authors and dates, with `hasFullText: false`. Pasted as a link on its own, it is skipped and the run's log says so. **How fresh is the data?** Live. Every run reads Reuters at the moment it runs, with no cache, so a scheduled run picks up what Reuters has published since the previous run. `updatedAt` tells you when Reuters last edited a story. **Are the links permanent?** `url` is the article's permanent address and `id` is Reuters' stable article id. `imageUrl` points to the original picture file on Reuters' image host. ### More SilentFlow scrapers **πŸ›’ E-commerce** - **JD** - [JD Products Scraper | JD.com Prices, Brands and Barcodes](https://apify.com/silentflow/jd-products-scraper) - **Pinterest** - [Pinterest Scraper | Pins, Boards and Profiles](https://apify.com/silentflow/pinterest-scraper-ppr) - **Udemy Course** - [Udemy Course Scraper](https://apify.com/silentflow/udemy-scraper-ppe) - **TikTok Shop** - [TikTok Shop Scraper | Products, Sellers and Creator Videos](https://apify.com/silentflow/tiktok-shop-scraper) - **Leboncoin** - [Leboncoin Scraper | Classified Ads, Prices and Sellers](https://apify.com/silentflow/leboncoin-scraper-ppr) - 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**Apple Maps** - [Apple Maps Scraper | Places, Phones and Emails](https://apify.com/silentflow/apple-maps-scraper) - **Booking.com Hotel** - [Booking.com Hotel Scraper](https://apify.com/silentflow/booking-scraper-ppr) - **Despegar** - [Despegar Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/despegar-reviews-scraper) - **Flight Price** - [Flight Price Scraper](https://apify.com/silentflow/flight-price-scraper) - **Kakao** - [Kakao Scraper | Map Places, Reviews and Phones](https://apify.com/silentflow/kakao-scraper) - **Mafengwo** - [Mafengwo Scraper | Attractions, Ratings and Tickets](https://apify.com/silentflow/mafengwo-scraper) - **OpenTable** - [OpenTable Reviews Scraper | Restaurant Reviews and Ratings](https://apify.com/silentflow/opentable-reviews-scraper) - **TheFork** - [TheFork Scraper | Restaurants, Menus and Ratings](https://apify.com/silentflow/thefork-scraper) - **Trip** - [Trip Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/trip-reviews-scraper) - **Zomato** - [Zomato Reviews Scraper | Restaurant Ratings and Replies](https://apify.com/silentflow/zomato-reviews-scraper) - **Booking** - [Booking Scraper | Hotel Prices, Photos, Availability](https://apify.com/silentflow/booking-scraper) - **Google Maps** - [Google Maps Scraper](https://apify.com/silentflow/google-maps-scraper) **🎯 Lead generation** - **Northdata** - [Northdata Company Scraper](https://apify.com/silentflow/northdata-scraper) - **Dealroom** - [Dealroom Scraper | Companies and Investors](https://apify.com/silentflow/dealroom-scraper-ppe) - **UK Companies House** - [UK Companies House Enricher](https://apify.com/silentflow/uk-companies-house-enricher) - **ZocDoc** - [ZocDoc Scraper | Doctors, Reviews and Availability](https://apify.com/silentflow/zocdoc-scraper-ppr) - **PagesJaunes** - [PagesJaunes Scraper | French Business Emails and SIRET](https://apify.com/silentflow/pagesjaunes-scraper) - **Similarweb** - [Similarweb Scraper | Website Traffic, Rankings and Competitors](https://apify.com/silentflow/similarweb-scraper) - **SIRET** - [SIRET Company Enricher](https://apify.com/silentflow/siret-enricher-ppr) - **BuiltWith** - [BuiltWith Scraper | Tech Stacks and Top Sites](https://apify.com/silentflow/builtwith-scraper) - **KVK** - [KVK Scraper | Dutch Companies and SBI Codes](https://apify.com/silentflow/kvk-scraper) - **Dealroom Startup Data** - [Dealroom Startup Data Scraper](https://apify.com/silentflow/dealroom-scraper) - **Justdial** - [Justdial Companies Scraper | Business Leads, Phones and Emails](https://apify.com/silentflow/justdial-companies-scraper) - **PagesJaunes** - [PagesJaunes Business Scraper](https://apify.com/silentflow/pagesjaunes-scraper-ppr) - **ThomasNet Suppliers** - [ThomasNet Suppliers Scraper](https://apify.com/silentflow/thomasnet-scraper) - **ALEO** - [ALEO Scraper | Polish Companies and Financials](https://apify.com/silentflow/aleo-scraper) - **BBB** - [BBB Scraper | Ratings, Reviews and Complaints](https://apify.com/silentflow/bbb-scraper) - **Clutch** - [Clutch Scraper | Agencies, Reviews, Ratings, Services](https://apify.com/silentflow/clutch-scraper) - **CNPJ Brazilian** - [CNPJ Brazilian Company Enricher](https://apify.com/silentflow/cnpj-enricher) - **Company Data** - [Company Data Scraper | Emails, Phones and Tech Stack](https://apify.com/silentflow/company-data-scraper) - **CSLB** - [CSLB Scraper | Contractor Licenses, Bonds and Leads](https://apify.com/silentflow/cslb-scraper) - **Delaware** - [Delaware Scraper | Corporations, LLCs and Registered Agents](https://apify.com/silentflow/delaware-scraper) - **French Company Prospector** - [French Company Prospector](https://apify.com/silentflow/french-company-prospector) - **G2** - [G2 Reviews Scraper](https://apify.com/silentflow/g2-review-intelligence) - **Paginasamarillas** - [Paginasamarillas Scraper | Business Leads, Emails and Phones](https://apify.com/silentflow/paginasamarillas-scraper) - **Pappers** - [Pappers Scraper | French Companies, Directors & Financials](https://apify.com/silentflow/pappers-scraper) - **SEC** - [SEC Scraper | EDGAR Filings and Company Data](https://apify.com/silentflow/sec-scraper) - **SoftwareAdvice** - [SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons](https://apify.com/silentflow/softwareadvice-scraper) - **Sunbiz** - [Sunbiz Scraper | Florida Companies and Officers](https://apify.com/silentflow/sunbiz-scraper) - **TrustRadius** - [TrustRadius Reviews Scraper | Ratings, Pros and Cons](https://apify.com/silentflow/trustradius-reviews-scraper) - **USPTO** - [USPTO Scraper | Trademark Search and Status](https://apify.com/silentflow/uspto-scraper) - **Clutch Agency** - [Clutch Agency Scraper](https://apify.com/silentflow/clutch-scraper-ppe) - **Domain** - [Domain Enricher](https://apify.com/silentflow/domain-enricher) - **Google Ads Transparency** - [Google Ads Transparency Scraper](https://apify.com/silentflow/google-ads-transparency-scraper) - **SIRET French** - [SIRET French Company Enricher](https://apify.com/silentflow/siret-enricher) - **Sunbiz** - [Sunbiz Companies Scraper | New Florida Business Leads](https://apify.com/silentflow/sunbiz-companies-scraper) - **ZocDoc** - [ZocDoc Scraper](https://apify.com/silentflow/zocdoc-scraper) **πŸ”Ž SEO** - **SpyFu** - [SpyFu Scraper | SEO, PPC and Competitor Data](https://apify.com/silentflow/spyfu-scraper) - **Scribd** - [Scribd Scraper | Documents, Authors and Views](https://apify.com/silentflow/scribd-scraper) - **Apple** - [Apple Reviews Scraper | App Store Reviews and Ratings](https://apify.com/silentflow/apple-reviews-scraper) - **Bing** - [Bing Enricher Scraper | Mobile Friendly Test and Indexing](https://apify.com/silentflow/bing-enricher-scraper) - **Google News** - [Google News Scraper](https://apify.com/silentflow/google-news-scraper) - **Yandexsearch** - [Yandexsearch Scraper | Search Results and Rankings](https://apify.com/silentflow/yandexsearch-scraper) **🎬 Video** - **Pexels** - [Pexels Scraper | Photos, Videos and Download Stats](https://apify.com/silentflow/pexels-scraper) **πŸ“° News** - **ForexFactory** - [ForexFactory Scraper | Economic Calendar and Forecasts](https://apify.com/silentflow/forexfactory-scraper) - **FT** - [FT Scraper | Financial Times Articles, Authors and Topics](https://apify.com/silentflow/ft-scraper) - **OpenAI** - [OpenAI Scraper | News, Blog Posts and Research](https://apify.com/silentflow/openai-scraper) - **Bloomberg** - [Bloomberg Scraper | News Articles and Full Text](https://apify.com/silentflow/bloomberg-scraper) **🧰 More tools** - **FanDuel** - [FanDuel Scraper | Odds, Spreads and Player Props](https://apify.com/silentflow/fanduel-scraper) - **PrizePicks** - [PrizePicks Scraper | Player Props, Lines and Projections](https://apify.com/silentflow/prizepicks-scraper) - **Equibase** - [Equibase Scraper | Horse Racing Entries and Results](https://apify.com/silentflow/equibase-scraper) - **Maersk** - [Maersk Scraper | Vessel Schedules and Port Calls](https://apify.com/silentflow/maersk-scraper) - **Screener** - [Screener Scraper | Stock Fundamentals, NSE & BSE](https://apify.com/silentflow/screener-scraper) ### Support Need something this actor does not do yet? We ship features fast. - Feature requests go straight to our backlog - Enterprise needs? We do custom integrations and high-volume plans - Pricing questions? Check the Monetization tab on the actor page Response time: usually under 24 hours. ### Legal compliance This actor extracts publicly available data from reuters.com. It does not log in and does not bypass any login, paywall or CAPTCHA. Reuters' articles are copyrighted works, and users are responsible for complying with Reuters' terms of service, with copyright law, and with applicable data protection laws (GDPR, CCPA, and PIPL where relevant). Rows carry journalists' names, roles, professional emails and social profiles as Reuters publishes them, which are personal data: process them on a lawful basis, honour opt-out requests, and keep outreach relevant to each journalist's beat. Use the text for research, monitoring and analysis, and check your rights before republishing it. The data returned is informational; verify it before using it for regulated decisions. *Reuters Scraper by SilentFlow: Reuters news, searchable by keyword, ticker and date, with the journalists behind it.* # Actor input Schema ## `searchQueries` (type: `array`): What you would type in Reuters' search box: a company (nvidia), a person, a theme (federal reserve, private credit). Newest articles first by default; Reuters holds thousands per popular keyword (5,853 for nvidia on 10 Nov 2026), back several years. ## `startUrls` (type: `array`): Paste any of these reuters.com pages: ## `tickers` (type: `array`): Every Reuters article filed under a company, newest first. Use the Reuters code (NVDA.O, 2330.TW, VOD.L) or a US ticker (AAPL, NYSE:JPM): a plain US ticker is looked up on Nasdaq, then on the NYSE. Reuters files 6,550 articles under NVDA.O. ## `edition` (type: `string`): The Reuters edition your keywords, sections, latest news and archive are read from. Pick one or type a language (German, es, portuguΓͺs). Tickers are read from the English edition. Search the Arabic edition with Arabic keywords. ## `sections` (type: `array`): The newest articles of each section you pick, 20 per page, read until your limit or dates. Latest news is every new Reuters article of the edition, newest first, and works in every edition; the other sections are those of the English edition (paste a section link for another edition). ## `dateFrom` (type: `string`): A day such as 2026-10-01, or a span back from now such as 7 days or 3 months. Times are UTC. Leave empty for no start date. ## `dateTo` (type: `string`): Last day to keep, included, such as 2026-10-31. Leave empty to run up to now. The English edition publishes about 10,000 articles a month (9,971 in October 2026). ## `sort` (type: `string`): Newest first suits monitoring, oldest first rebuilds a story from its start, most relevant puts Reuters' best matches first whatever their date. Sections, tickers and journalists are always newest first. ## `maxItems` (type: `integer`): Stop after this many articles in total, shared evenly between your keywords, tickers, sections and feed links (a source with fewer articles leaves its share to the next ones). Article links are always read. Each article is read in full, so set this to what you need. ## Actor input object example ```json { "searchQueries": [ "nvidia" ], "edition": "en", "sort": "newest", "maxItems": 20 } ``` # Actor output Schema ## `articles` (type: `string`): Complete article data including: id, url, title, label, description, keyPoints, content, language, section, categories, topic, tickers, companies, authors, authorProfiles, credits, wordCount, readMinutes, location, publishedAt, updatedAt, imageUrl, imageCaption, imageCredit, isPremium, hasFullText, foundBy, scrapedAt. ## `fullText` (type: `string`): Headline, summary, key points, article text and companies of each article. ## `journalists` (type: `string`): Authors of each article with their role, email, X and LinkedIn profiles, and the reporting and editing credits. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "nvidia" ], "maxItems": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("silentflow/reuters-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["nvidia"], "maxItems": 20, } # Run the Actor and wait for it to finish run = client.actor("silentflow/reuters-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "nvidia" ], "maxItems": 20 }' | apify call silentflow/reuters-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/reuters-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/XB5aZnM4hIUK9WUfc/builds/oPUgAv8L7JVYcuqHW/openapi.json