# article-scrapper (`credible_sandal/article-scrapper`) Actor A flexible and powerful Apify Actor for scraping articles from tech news websites. This scraper can work with any tech news site - either from predefined presets or custom URLs - **URL**: https://apify.com/credible\_sandal/article-scrapper.md - **Developed by:** [RK K](https://apify.com/credible_sandal) (community) - **Categories:** News - **Stats:** 31 total users, 4 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 result\_sets This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Tech News Article Scraper A powerful Apify Actor for scraping articles from 14 popular tech news sources or any custom URL. Extracts full article content, metadata, sentiment, word count, and reading time. Supports RSS feeds for fast and reliable scraping. ### Features - **14 Preset Sources** — The Verge, TechCrunch, Wired, Hacker News, BBC Tech, MIT Technology Review, VentureBeat, Dev.to, Product Hunt, and more - **RSS Feed Support** — Faster and more reliable than HTML scraping; automatically used for all preset sources - **Custom URLs** — Scrape any news site by providing your own URLs - **Smart Extraction** — Automatically detects titles, authors, dates, content, images, and tags - **Sentiment Analysis** — Labels each article as positive, neutral, or negative with a confidence score - **Date Range Filtering** — Filter by date range or relative window (e.g. last 7 days) - **Flexible Filters** — Filter by keywords, title text, or description with AND/OR logic - **Word Count & Reading Time** — Automatically calculated for every article - **Robust Error Handling** — Retry logic, graceful fallbacks, and detailed logging --- ### Preset Sources | Key | Source | Focus | |-----|--------|-------| | `verge` | The Verge | Tech news and media | | `techcrunch` | TechCrunch | Startups and technology | | `wired` | Wired | Technology and culture | | `cnet` | CNET | Product reviews and news | | `arstechnica` | Ars Technica | In-depth tech analysis | | `engadget` | Engadget | Consumer electronics | | `theguardian-tech` | The Guardian Tech | Tech news from The Guardian | | `thenextweb` | The Next Web | International tech news | | `hackernews` | Hacker News | Developer and startup community | | `bbc-tech` | BBC Technology | Global tech news | | `mit-tech-review` | MIT Technology Review | Deep tech and AI research | | `venturebeat` | VentureBeat | AI, startups, and enterprise tech | | `devto` | Dev.to | Developer articles and tutorials | | `producthunt` | Product Hunt | Daily startup and product launches | --- ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `usePresets` | boolean | `true` | Use preset sources or custom URLs | | `presetSources` | array | `["verge", "techcrunch", "wired"]` | List of preset source keys | | `customUrls` | array | `[]` | Custom URLs to scrape (when `usePresets` is false) | | `maxArticlesPerSource` | integer | `10` | Max articles per source (1–100) | | `maxPages` | integer | `1` | Max listing pages to check per source (1–10) | | `includeContent` | boolean | `true` | Extract full article text | | `useRssFeeds` | boolean | `true` | Use RSS feeds for preset sources (faster, more reliable) | | `includeSentiment` | boolean | `true` | Add sentiment analysis to each article | | `sentimentFilter` | string | `"all"` | Only return articles with this sentiment: `all`, `positive`, `neutral`, `negative` | | `filterMode` | string | `"any"` | `any` = article passes if it matches at least one filter (OR). `all` = article must pass every filter (AND) | | `searchKeywords` | array | `[]` | Filter articles containing any of these keywords in title or summary | | `titleContains` | string | `""` | Only include articles with this text in the title | | `descriptionContains` | string | `""` | Only include articles with this text in the summary or content | | `dateFrom` | string | `""` | Only include articles published on or after this date (YYYY-MM-DD) | | `dateTo` | string | `""` | Only include articles published on or before this date (YYYY-MM-DD) | | `publishedWithin` | string | `""` | Only include articles published within this window. Examples: `24h`, `7d`, `30d`, `2w` | --- ### Output Format Each article is saved with the following fields: ```json { "title": "OpenAI Releases GPT-5", "url": "https://techcrunch.com/2025/01/15/openai-gpt5", "author": "Jane Doe", "published_date": "2025-01-15T10:30:00+00:00", "content": "Full article text...", "summary": "OpenAI today announced GPT-5, its most capable model yet...", "source": "TechCrunch", "tags": ["AI", "OpenAI", "GPT"], "image_url": "https://techcrunch.com/images/gpt5.jpg", "word_count": 847, "reading_time_minutes": 4, "sentiment": { "label": "positive", "score": 0.6249 }, "scraped_at": "2025-01-15T11:00:00+00:00" } ```` > `sentiment` is only present when `includeSentiment` is `true`. *** ### Usage Examples #### 1. Morning AI News Briefing Get the latest AI articles from the last 24 hours across major sources: ```json { "usePresets": true, "presetSources": ["techcrunch", "verge", "wired", "mit-tech-review"], "maxArticlesPerSource": 20, "publishedWithin": "24h", "searchKeywords": ["AI", "artificial intelligence", "ChatGPT", "LLM"], "filterMode": "any", "useRssFeeds": true, "includeSentiment": true } ``` #### 2. Brand Monitoring — Negative Press Only Track negative coverage about a topic: ```json { "usePresets": true, "presetSources": ["techcrunch", "verge", "arstechnica", "bbc-tech"], "maxArticlesPerSource": 30, "searchKeywords": ["Apple", "iPhone"], "filterMode": "any", "includeSentiment": true, "sentimentFilter": "negative", "publishedWithin": "7d" } ``` #### 3. Startup Launch Tracker Track new product launches and funding news: ```json { "usePresets": true, "presetSources": ["producthunt", "techcrunch", "venturebeat"], "maxArticlesPerSource": 20, "searchKeywords": ["launch", "funding", "raises", "Series A"], "filterMode": "any", "dateFrom": "2025-01-01" } ``` #### 4. Developer Community Digest Pull community articles from Dev.to and Hacker News: ```json { "usePresets": true, "presetSources": ["devto", "hackernews"], "maxArticlesPerSource": 50, "includeContent": true, "useRssFeeds": true } ``` #### 5. Custom Site Scraping Scrape any site not in the preset list: ```json { "usePresets": false, "customUrls": [ "https://9to5mac.com", "https://9to5google.com" ], "maxArticlesPerSource": 15, "maxPages": 2, "includeContent": true } ``` #### 6. Long-form Articles Only Use word count to filter out short posts and stubs: ```json { "usePresets": true, "presetSources": ["wired", "arstechnica", "mit-tech-review"], "maxArticlesPerSource": 20, "includeContent": true } ``` > Tip: After export, filter `word_count > 800` in your spreadsheet to get long-form articles only. *** ### Filtering Guide Three filter types are available — `filterMode` controls how they combine: | filterMode | Behaviour | |------------|-----------| | `any` (recommended) | Article passes if it matches **at least one** active filter | | `all` | Article must pass **every** active filter simultaneously | **Example with `filterMode: "any"`:** - `searchKeywords: ["AI"]` matches → article included, regardless of other filters **Example with `filterMode: "all"`:** - Article must match `searchKeywords` AND `titleContains` AND `descriptionContains` — very strict *** ### Viewing Results 1. **Dataset Tab** — View all articles in a table after the run completes 2. **Export** — Download as JSON, CSV, XML, or Excel 3. **API** — Access results programmatically via the Apify API 4. **Schedule** — Set up automated daily or weekly runs via Apify Scheduler *** ### Troubleshooting **Getting 0 articles with multiple filters set** - Switch `filterMode` to `"any"` — AND logic (`"all"`) is very strict - Increase `maxArticlesPerSource` so more articles are available to filter - Check the logs — each rejected article shows which filter removed it **Missing content or short word counts** - RSS feeds provide summaries, not full articles — set `useRssFeeds: false` for full HTML scraping - Some sites have unique page structures the generic scraper may miss **Connection timeouts or blocked requests** - Reduce `maxArticlesPerSource` to avoid rate limiting - Some sites block automated requests — try a different source **JavaScript-heavy sites not working** - This scraper uses static HTML parsing — JS-rendered pages are not supported - Use RSS mode (`useRssFeeds: true`) for preset sources to avoid this entirely *** ### FAQ **Can I scrape paywalled content?** No — only publicly accessible content is scraped. **How fast is it?** RSS mode: ~10 articles per second. HTML mode: ~1–2 articles per second due to polite rate limiting. **Can I add my own sources permanently?** Use `customUrls` for one-off scraping, or open a GitHub issue to request a new preset source. **Is this legal?** Web scraping legality depends on the site's terms of service and your jurisdiction. Always check `robots.txt`, avoid overloading servers, and use data responsibly. This tool is for legitimate use cases only. *** ### License Provided as-is for educational and legitimate scraping purposes. Always respect website terms of service and robots.txt files. # Actor input Schema ## `usePresets` (type: `boolean`): Use predefined news sites or provide custom URLs ## `presetSources` (type: `array`): Select from predefined tech news sources (only used if 'Use Preset Sites' is checked) ## `customUrls` (type: `array`): Enter custom URLs to scrape (one per line). Can be homepages or article listing pages. Used when 'Use Preset Sites' is unchecked. ## `maxArticlesPerSource` (type: `integer`): Maximum number of articles to scrape from each source ## `maxPages` (type: `integer`): Maximum number of listing pages to check per source ## `includeContent` (type: `boolean`): Extract full article text (may increase scraping time) ## `searchKeywords` (type: `array`): Filter articles by keywords. Only articles containing ANY of these keywords in title or description will be included. Leave empty to scrape all articles. ## `filterMode` (type: `string`): 'any' — article passes if it matches at least one filter (OR logic, recommended). 'all' — article must pass every filter simultaneously (AND logic, very strict). ## `titleContains` (type: `string`): Only scrape articles where the title contains this text (case-insensitive). Leave empty to scrape all articles. ## `descriptionContains` (type: `string`): Only scrape articles where the summary/description contains this text (case-insensitive). Leave empty to scrape all articles. ## `dateFrom` (type: `string`): Only include articles published on or after this date. Format: YYYY-MM-DD or ISO datetime (e.g. 2025-01-15). Leave empty for no restriction. ## `dateTo` (type: `string`): Only include articles published on or before this date. Format: YYYY-MM-DD or ISO datetime (e.g. 2025-03-31). Leave empty for no restriction. ## `publishedWithin` (type: `string`): Only include articles published within this time window. Examples: '24h', '7d', '30d', '2w'. Takes precedence over 'Published After' when both are set. ## `useRssFeeds` (type: `boolean`): For preset sources, use their RSS/Atom feed instead of HTML scraping. Feeds are faster, more reliable, and return cleaner data. ## `includeSentiment` (type: `boolean`): Analyze each article's sentiment (positive / neutral / negative) based on its title and summary. Adds a 'sentiment' field to the output. ## `sentimentFilter` (type: `string`): Only return articles matching this sentiment. Requires 'Include Sentiment Analysis' to be enabled. Use 'all' to return everything. ## Actor input object example ```json { "usePresets": true, "presetSources": [ "verge", "techcrunch", "wired" ], "maxArticlesPerSource": 10, "maxPages": 1, "includeContent": true, "searchKeywords": [ "AI", "ChatGPT", "iPhone" ], "filterMode": "any", "titleContains": "AI", "descriptionContains": "artificial intelligence", "useRssFeeds": true, "includeSentiment": true, "sentimentFilter": "all" } ``` # 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 = { "searchKeywords": [ "AI", "ChatGPT", "iPhone" ], "titleContains": "AI", "descriptionContains": "artificial intelligence" }; // Run the Actor and wait for it to finish const run = await client.actor("credible_sandal/article-scrapper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "searchKeywords": [ "AI", "ChatGPT", "iPhone", ], "titleContains": "AI", "descriptionContains": "artificial intelligence", } # Run the Actor and wait for it to finish run = client.actor("credible_sandal/article-scrapper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchKeywords": [ "AI", "ChatGPT", "iPhone" ], "titleContains": "AI", "descriptionContains": "artificial intelligence" }' | apify call credible_sandal/article-scrapper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=credible_sandal/article-scrapper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "article-scrapper", "description": "A flexible and powerful Apify Actor for scraping articles from tech news websites. This scraper can work with any tech news site - either from predefined presets or custom URLs", "version": "0.0", "x-build-id": "1qEqCybmJwdLJ045S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/credible_sandal~article-scrapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-credible_sandal-article-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/credible_sandal~article-scrapper/runs": { "post": { "operationId": "runs-sync-credible_sandal-article-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/credible_sandal~article-scrapper/run-sync": { "post": { "operationId": "run-sync-credible_sandal-article-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "usePresets": { "title": "Use Preset Sites", "type": "boolean", "description": "Use predefined news sites or provide custom URLs", "default": true }, "presetSources": { "title": "Preset News Sources", "uniqueItems": true, "type": "array", "description": "Select from predefined tech news sources (only used if 'Use Preset Sites' is checked)", "items": { "type": "string", "enum": [ "verge", "cnet", "wired", "techcrunch", "arstechnica", "engadget", "theguardian-tech", "thenextweb", "hackernews", "bbc-tech", "mit-tech-review", "venturebeat", "devto", "producthunt" ] }, "default": [ "verge", "techcrunch", "wired" ] }, "customUrls": { "title": "Custom URLs", "uniqueItems": true, "type": "array", "description": "Enter custom URLs to scrape (one per line). Can be homepages or article listing pages. Used when 'Use Preset Sites' is unchecked.", "items": { "type": "string", "pattern": "^https?://.*" } }, "maxArticlesPerSource": { "title": "Max Articles Per Source", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of articles to scrape from each source", "default": 10 }, "maxPages": { "title": "Max Listing Pages", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of listing pages to check per source", "default": 1 }, "includeContent": { "title": "Include Full Article Content", "type": "boolean", "description": "Extract full article text (may increase scraping time)", "default": true }, "searchKeywords": { "title": "Search Keywords (Optional)", "type": "array", "description": "Filter articles by keywords. Only articles containing ANY of these keywords in title or description will be included. Leave empty to scrape all articles.", "items": { "type": "string" } }, "filterMode": { "title": "Filter Mode", "enum": [ "any", "all" ], "type": "string", "description": "'any' — article passes if it matches at least one filter (OR logic, recommended). 'all' — article must pass every filter simultaneously (AND logic, very strict).", "default": "any" }, "titleContains": { "title": "Title Must Contain (Optional)", "type": "string", "description": "Only scrape articles where the title contains this text (case-insensitive). Leave empty to scrape all articles." }, "descriptionContains": { "title": "Description Must Contain (Optional)", "type": "string", "description": "Only scrape articles where the summary/description contains this text (case-insensitive). Leave empty to scrape all articles." }, "dateFrom": { "title": "Published After (Optional)", "type": "string", "description": "Only include articles published on or after this date. Format: YYYY-MM-DD or ISO datetime (e.g. 2025-01-15). Leave empty for no restriction." }, "dateTo": { "title": "Published Before (Optional)", "type": "string", "description": "Only include articles published on or before this date. Format: YYYY-MM-DD or ISO datetime (e.g. 2025-03-31). Leave empty for no restriction." }, "publishedWithin": { "title": "Published Within (Optional)", "type": "string", "description": "Only include articles published within this time window. Examples: '24h', '7d', '30d', '2w'. Takes precedence over 'Published After' when both are set." }, "useRssFeeds": { "title": "Use RSS Feeds When Available", "type": "boolean", "description": "For preset sources, use their RSS/Atom feed instead of HTML scraping. Feeds are faster, more reliable, and return cleaner data.", "default": true }, "includeSentiment": { "title": "Include Sentiment Analysis", "type": "boolean", "description": "Analyze each article's sentiment (positive / neutral / negative) based on its title and summary. Adds a 'sentiment' field to the output.", "default": true }, "sentimentFilter": { "title": "Sentiment Filter (Optional)", "enum": [ "all", "positive", "neutral", "negative" ], "type": "string", "description": "Only return articles matching this sentiment. Requires 'Include Sentiment Analysis' to be enabled. Use 'all' to return everything.", "default": "all" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```