# Quora Email Scraper (`leads-scraper/quora-email-scraper`) Actor Quora Email Scraper SD - Quora Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from Quora results by keyword, location and email domain - Quora email extractor. - **URL**: https://apify.com/leads-scraper/quora-email-scraper.md - **Developed by:** [Leads Scraper](https://apify.com/leads-scraper) (community) - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.49 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### Quora Email Scraper The **Quora Email Scraper** extracts publicly indexed contact emails from Quora profiles, answers and Spaces, and turns them into a structured dataset you can export as JSON or CSV. Quora is unusually dense with people who *want* to be contacted: independent consultants, agency founders, immigration and visa advisers, SEO and growth specialists, doctors, lawyers, tutors and academics. Many of them close an answer with "reach me at…" and a working address. The Quora Email Scraper harvests exactly those addresses. It builds keyword-driven Google searches against `quora.com`, parses each result block structurally, and keeps only the emails matching the domains you specify. This is contact discovery through public search results. The Quora Email Scraper does not log in to Quora, does not use a Quora API, and does not open the Quora website — no browser, no JavaScript rendering, no authentication, no cookies. #### Who a Quora email extractor is for B2B sales teams, recruiters, agency owners, journalists, market researchers and anyone building an expert list from a topic rather than a company. Quora answers are self-declared expertise with a topic attached. That makes the Quora Email Scraper an unusually precise lead generation instrument compared with follower-count-driven platforms. *** ### Key Features of the Quora Email Scraper Everything below is genuinely implemented in the Quora Email Scraper. No roadmap items. | Feature | What it does | |---|---| | Google SERP data collection | Builds `site:quora.com` queries and fetches result pages through the Apify GOOGLE\_SERP proxy | | Query expansion | Base, quoted and `intitle:` variants plus one variant per modifier, to get past Google's per-query result ceiling | | Domain filtering | Only emails ending in your listed domains survive (`@gmail.com`, `@yahoo.com` by default) | | Global deduplication | One row per unique email across every query, page and keyword in the run | | Email normalisation | Understands `name [at] domain [dot] com`, `name (at) domain`, `name @ domain.com`, `domain .com`, zero-width characters and the full-width `＠` | | Junk filter | Rejects placeholders such as `email@`, `yourname@`, `test@`, `xxx@` and single-character locals | | Boundary-correct matching | `@gmail.com` never matches inside `@gmail.company` or `@gmail.com.br` | | Soft-wrap repair | Discards a hit that is only the tail of another email in the same result block | | Concurrency control | An `asyncio` worker pool runs queries in parallel with a shared stop signal on `maxEmails` | | Retry logic | Up to 3 attempts per page with exponential backoff and a fresh proxy session per request | | Block detection | CAPTCHA, "unusual traffic" and consent pages are detected and retried, never counted as empty | | Resumable state | Progress persists in the key-value store, saved on `PERSIST_STATE`, `MIGRATING` and `ABORTING` | | Structural parser | Locates the `

` title then the smallest surrounding block, rather than trusting Google's CSS class names | | Whole-page fallback | A markup change degrades the crawler to "emails without account details", never to "no emails" | | Streaming dataset writes | Every lead is pushed to the Apify dataset the moment it is found | *** ### How the Quora Email Scraper Works The Quora Email Scraper pipeline has six stages and no hidden state. 1. **Read input.** Keywords, optional location, email domains, limits and concurrency. 2. **Build queries.** Each keyword is paired with each domain into a `site:quora.com` search, e.g. `site:quora.com immigration consultant "@gmail.com" "Toronto"`. 3. **Expand queries.** With `expandQueries` on, quoted and `intitle:` phrasings also run, plus one variant per modifier. Base queries always go first. 4. **Fetch result pages.** Asynchronous `aiohttp` requests through the Apify GOOGLE\_SERP proxy, with pagination up to `maxPagesPerQuery`. 5. **Parse blocks.** The parser reads the result title, the Quora site label and the answer snippet as metadata for each candidate lead. 6. **Extract, deduplicate, store.** A domain-filtered regex pulls addresses from the block text; new ones stream into the dataset, duplicates are dropped. Everything the Quora Email Scraper returns was already visible to anyone running the same search by hand. *** ### What Data Does the Quora Email Scraper Extract Each item carries the same 14 fields, so the output schema of the Quora Email Scraper never shifts between runs. | Field | Meaning | |---|---| | `network` | Platform name | | `keyword` | The keyword that produced the lead | | `query` | The exact Google query used | | `title` | Raw result title | | `accountName` | Account label Google prints | | `fullName` | Display name parsed from a profile-style title; empty for answer snippets | | `username` | URL-safe Quora profile slug when one is exposed; otherwise `null` | | `profileUrl` | Canonical Quora profile URL when a slug is known; otherwise empty | | `url` | Direct Quora link when exposed, else the profile URL | | `description` | Bio or answer snippet, cleaned of labels and engagement counters | | `email` | Lower-cased email address | | `emailDomain` | The matched domain, e.g. `@gmail.com` | | `possiblyTruncated` | `true` when Google's snippet ellipsis touched the email | | `foundAt` | ISO 8601 UTC timestamp | Note that many Quora results are answer pages rather than profile pages. Those rows arrive from the Quora Email Scraper with a populated `email`, `description` and `url` but an empty `username` and `profileUrl` — see Limitations. *** ### Input Fields Nine fields drive the Quora Email Scraper. Only `keywords` is required. | Field | Type | Default | Description | |---|---|---|---| | `keywords` | array (required) | `["founder", "consultant"]` | Search terms: niche, job title, industry | | `location` | string | `""` | Optional location phrase added to every query | | `customDomains` | array | `["@gmail.com", "@yahoo.com"]` | Only emails on these domains are kept; the `@` is optional | | `maxEmails` | integer 1–10000 | `20` | Stop after this many unique emails | | `countryCode` | string | `""` | Two-letter country for the search proxy (US, GB, DE…) | | `expandQueries` | boolean | `true` | Search each keyword × domain pair in several phrasings | | `queryModifiers` | array | `["email", "contact", "reach me", "consulting"]` | Extra words combined with each keyword when expansion is on | | `maxPagesPerQuery` | integer 1–50 | `30` | Pagination cap per query | | `maxConcurrency` | integer 1–20 | `5` | Parallel queries | #### JSON input example ```json { "keywords": ["immigration consultant", "SEO consultant", "startup founder"], "location": "Toronto", "customDomains": ["@gmail.com", "@outlook.com"], "maxEmails": 400, "countryCode": "CA", "expandQueries": true, "queryModifiers": ["email", "contact", "reach me", "consulting"], "maxPagesPerQuery": 30, "maxConcurrency": 5 } ``` *** ### Output Schema and Dataset Export The Quora Email Scraper writes leads to the Apify dataset as they are discovered, so results accumulate visibly during the run. #### JSON output example ```json { "network": "Quora", "keyword": "immigration consultant", "query": "site:quora.com immigration consultant \"@gmail.com\" \"Toronto\"", "title": "Priya Raghavan - Quora", "accountName": "Priya-Raghavan-12", "fullName": "Priya Raghavan", "username": "Priya-Raghavan-12", "profileUrl": "https://www.quora.com/profile/Priya-Raghavan-12", "url": "https://www.quora.com/profile/Priya-Raghavan-12", "description": "Licensed immigration consultant in Toronto. Express Entry and study permits. Reach me at priya.raghavan.rcic@gmail.com", "email": "priya.raghavan.rcic@gmail.com", "emailDomain": "@gmail.com", "possiblyTruncated": false, "foundAt": "2026-08-31T10:18:53.774Z" } ``` Export the Quora Email Scraper dataset as JSON, CSV, XLSX or XML from the Apify console, or read it over the API into your CRM. *** ### How to Run It 1. Open the Quora Email Scraper on Apify and click **Try for free**. 2. Replace the default keywords with the expertise you are targeting — `tax advisor`, `PPC consultant`, `IELTS tutor`, `SaaS founder`. 3. Set the email domains you want. A narrow list produces a cleaner dataset than a broad one. 4. Optionally add a `location` and a `countryCode`. Quora's consultant population is strongly regional, so this is a high-leverage field. 5. Choose `maxEmails` and start the run. 6. Follow the live log: it reports pages fetched, blocked pages, retries and emails per page. 7. Export the dataset, or chain the Quora Email Scraper into a workflow through the Apify API. #### Tips for a better yield Feed the Quora Email Scraper job titles rather than topics. `consultant` is broad; `shopify migration consultant` is a query that converts. Leave query expansion on. The `reach me` and `consulting` modifiers are tuned for how Quora answers are actually phrased. If a niche runs dry, change `customDomains` before you change the keyword. Consultants frequently list a business address on a different provider. *** ### Use Cases for the Quora Email Scraper Teams reach for the Quora Email Scraper whenever a task starts with "find every expert who answers questions about…". | Use case | How the Quora Email Scraper helps | |---|---| | B2B prospecting | Build lists of consultants, advisers and founders by specialism and city | | Recruiting and headhunting | Source subject-matter experts who publicly demonstrate their knowledge | | Agency partner sourcing | Find white-label partners in tax, immigration, legal or marketing niches | | Journalist and analyst outreach | Locate quotable experts on a specific topic with a contact route attached | | Market and competitor research | Map who answers questions in your category and how they position themselves | | Course and community recruitment | Invite practitioners with proven expertise to teach or contribute | | CRM enrichment | Append profile URLs and bio snippets to existing contact records | | Event and podcast booking | Shortlist speakers by demonstrated topical authority | *** ### Why Choose This Actor Quora has no exportable expert directory, and the site's own search does not surface contact details at all. The Quora Email Scraper automates the tedious half of Quora lead generation — searching, paginating, copying, deduplicating — and leaves the qualification to you. Because the Quora Email Scraper parses structurally instead of by CSS class name, and because a whole-page fallback exists, a Google layout change degrades result quality rather than breaking the run. It also complements its siblings. Consultants and founders keep a professional footprint elsewhere: pair the Quora Email Scraper with the [LinkedIn Email Scraper](https://apify.com/leads-scraper/linkedin-email-scraper) for the same people in a B2B context, and with the [Medium Email Scraper](https://apify.com/leads-scraper/medium-email-scraper) or [Substack Email Scraper](https://apify.com/leads-scraper/substack-email-scraper) for the ones who publish long-form. For the discussion layer around a niche, the [Reddit Email Scraper](https://apify.com/leads-scraper/reddit-email-scraper) covers Western communities and the [Zhihu Email Scraper](https://apify.com/leads-scraper/zhihu-email-scraper) covers the Chinese-language Q\&A equivalent, while the [X Email Scraper](https://apify.com/leads-scraper/x-email-scraper) catches the same experts posting short-form. *** ### Limitations These constraints on the Quora Email Scraper are real. Read them before your first run. - **Only publicly indexed emails.** The Quora Email Scraper finds addresses Google has already crawled. An expert who never published an email will not appear. - **Google's result cap.** A single query returns roughly 300 results at most. That is precisely why query expansion exists — leave it enabled. - **`possiblyTruncated`.** When Google's snippet ellipsis touches an address, the row is flagged `true`. Verify those before outreach. - **Apify GOOGLE\_SERP proxy required.** The Quora Email Scraper cannot run without Apify proxy credentials. - **Free-plan cap.** Free Apify plans are limited to 100 emails per run; paid plans are uncapped. - **`username` and `profileUrl` availability.** These are populated only when Quora exposes a profile slug in Google's result. Answer and question pages often print only a display name, so those rows keep `accountName` and `fullName` but have an empty `username` and `profileUrl`. That is a Google limitation, not a bug. - **Variable yield.** Output depends on keywords, domains and location. No volume is guaranteed. *** ### Example: a full run A typical Quora Email Scraper run with three keywords, two domains, expansion on and `maxEmails: 400`. The Quora Email Scraper issues base queries first (`site:quora.com SEO consultant "@gmail.com"`), then quoted and `intitle:` variants, then one variant per modifier — `email`, `contact`, `reach me`, `consulting`. Five queries run concurrently, each paginating until it runs dry or reaches `maxPagesPerQuery`. Addresses are normalised, domain-filtered, deduplicated globally and streamed to the dataset until the 400th unique email trips the shared stop signal. Blocked or failed queries are re-queued once at the end of the run, so a transient CAPTCHA does not quietly cost you an entire keyword. *** ### Related Actors The Quora Email Scraper belongs to a family of contact-discovery Actors that share this engine and output schema. | Actor | What it collects | |---|---| | [Quora Email and Phone Number Scraper](https://apify.com/leads-scraper/quora-email-and-phone-number-scraper) | Emails and phone numbers from Quora | | [Quora Phone Number Scraper](https://apify.com/leads-scraper/quora-phone-number-scraper) | Public phone numbers from Quora | | [Behance Email Scraper](https://apify.com/leads-scraper/behance-email-scraper) | Public contact emails from Behance | | [Bigo Live Email Scraper](https://apify.com/leads-scraper/bigo-live-email-scraper) | Public contact emails from Bigo Live | | [Bluesky Email Scraper](https://apify.com/leads-scraper/bluesky-email-scraper) | Public contact emails from Bluesky | | [Bumble Email Scraper](https://apify.com/leads-scraper/bumble-email-scraper) | Public contact emails from Bumble | | [Clubhouse Email Scraper](https://apify.com/leads-scraper/clubhouse-email-scraper) | Public contact emails from Clubhouse | | [Dailymotion Email Scraper](https://apify.com/leads-scraper/dailymotion-email-scraper) | Public contact emails from Dailymotion | | [DeviantArt Email Scraper](https://apify.com/leads-scraper/deviantart-email-scraper) | Public contact emails from DeviantArt | | [Discord Email Scraper](https://apify.com/leads-scraper/discord-email-scraper) | Public contact emails from Discord | | [Dribbble Email Scraper](https://apify.com/leads-scraper/dribbble-email-scraper) | Public contact emails from Dribbble | | [Facebook Email Scraper](https://apify.com/leads-scraper/facebook-email-scraper) | Public contact emails from Facebook | | [Goodreads Email Scraper](https://apify.com/leads-scraper/goodreads-email-scraper) | Public contact emails from Goodreads | | [Hinge Email Scraper](https://apify.com/leads-scraper/hinge-email-scraper) | Public contact emails from Hinge | | [Instagram Email Scraper](https://apify.com/leads-scraper/instagram-email-scraper) | Public contact emails from Instagram | | [KakaoTalk Email Scraper](https://apify.com/leads-scraper/kakaotalk-email-scraper) | Public contact emails from KakaoTalk | | [Kick Email Scraper](https://apify.com/leads-scraper/kick-email-scraper) | Public contact emails from Kick | | [Lemon8 Email Scraper](https://apify.com/leads-scraper/lemon8-email-scraper) | Public contact emails from Lemon8 | | [Likee Email Scraper](https://apify.com/leads-scraper/likee-email-scraper) | Public contact emails from Likee | | [LINE Email Scraper](https://apify.com/leads-scraper/line-email-scraper) | Public contact emails from LINE | | [LinkedIn Email Scraper](https://apify.com/leads-scraper/linkedin-email-scraper) | Public contact emails from LinkedIn | | [Mastodon Email Scraper](https://apify.com/leads-scraper/mastodon-email-scraper) | Public contact emails from Mastodon | | [Medium Email Scraper](https://apify.com/leads-scraper/medium-email-scraper) | Public contact emails from Medium | | [Mixcloud Email Scraper](https://apify.com/leads-scraper/mixcloud-email-scraper) | Public contact emails from Mixcloud | | [Patreon Email Scraper](https://apify.com/leads-scraper/patreon-email-scraper) | Public contact emails from Patreon | | [Pinterest Email Scraper](https://apify.com/leads-scraper/pinterest-email-scraper) | Public contact emails from Pinterest | | [Reddit Email Scraper](https://apify.com/leads-scraper/reddit-email-scraper) | Public contact emails from Reddit | | [Rumble Email Scraper](https://apify.com/leads-scraper/rumble-email-scraper) | Public contact emails from Rumble | | [Snapchat Email Scraper](https://apify.com/leads-scraper/snapchat-email-scraper) | Public contact emails from Snapchat | | [SoundCloud Email Scraper](https://apify.com/leads-scraper/soundcloud-email-scraper) | Public contact emails from SoundCloud | | [Substack Email Scraper](https://apify.com/leads-scraper/substack-email-scraper) | Public contact emails from Substack | | [Telegram Email Scraper](https://apify.com/leads-scraper/telegram-email-scraper) | Public contact emails from Telegram | | [Threads Email Scraper](https://apify.com/leads-scraper/threads-email-scraper) | Public contact emails from Threads | | [TikTok Email Scraper](https://apify.com/leads-scraper/tiktok-email-scraper) | Public contact emails from TikTok | | [Tinder Email Scraper](https://apify.com/leads-scraper/tinder-email-scraper) | Public contact emails from Tinder | | [Tumblr Email Scraper](https://apify.com/leads-scraper/tumblr-email-scraper) | Public contact emails from Tumblr | | [Twitch Email Scraper](https://apify.com/leads-scraper/twitch-email-scraper) | Public contact emails from Twitch | | [Vimeo Email Scraper](https://apify.com/leads-scraper/vimeo-email-scraper) | Public contact emails from Vimeo | | [VK Email Scraper](https://apify.com/leads-scraper/vk-email-scraper) | Public contact emails from VK | | [WeChat Email Scraper](https://apify.com/leads-scraper/wechat-email-scraper) | Public contact emails from WeChat | | [Weibo Email Scraper](https://apify.com/leads-scraper/weibo-email-scraper) | Public contact emails from Weibo | | [X Email Scraper](https://apify.com/leads-scraper/x-email-scraper) | Public contact emails from X | ### FAQ #### What is the Quora Email Scraper? An Apify Actor that extracts publicly indexed contact emails from Quora profiles, answers and Spaces via Google search results and writes them to a structured dataset. #### Does the Quora Email Scraper log in to Quora? No. The Quora Email Scraper does not log in, does not call a Quora API, and does not open quora.com. It reads Google search results only. #### Where do the emails come from? Titles, snippets and site labels in Google's public index — usually an address a consultant or founder wrote into an answer or a profile bio. The Quora Email Scraper reads nothing else. #### Can I choose which email providers are returned? Yes. `customDomains` filters the Quora Email Scraper's extraction step. Defaults are `@gmail.com` and `@yahoo.com`, and the leading `@` is optional. #### Why is `username` empty on many Quora rows? Quora answer and question pages often show only a display name in Google's result. Where no profile slug is exposed, `username` is `null` and `profileUrl` is empty, while `accountName` and `fullName` stay populated. #### What does `possiblyTruncated: true` mean? Google's snippet ellipsis touched the address, so it may be cut off. Treat those rows as unverified before sending anything. #### How many Quora expert emails will one run return? It depends on keywords, domains and location — no volume is guaranteed. Free Apify plans stop at 100 emails per run; paid plans are uncapped. #### Do I need a proxy? Yes. The Quora Email Scraper requires the Apify GOOGLE\_SERP proxy and will not run without Apify proxy credentials. #### Should I leave query expansion on? Almost always. Google caps a single query near 300 results, and expansion is how the Quora Email Scraper works around that ceiling. #### Does the output schema ever change? No. Every item carries the same 14 fields, which keeps downstream mapping stable. #### Is this affiliated with Quora? No. It is an independent Apify Actor, not endorsed by or connected to Quora. #### Can I export to CSV or schedule recurring runs? Yes. Export as JSON, CSV, XLSX or XML, and use Apify Schedules to run the Quora Email Scraper on a recurring basis into the same dataset. *** ### Leave a review If the Quora Email Scraper saved you time, please leave a star rating and a short review on the Actor page. Reviews are how other buyers judge whether a tool works, and they tell us which features to build next. If something did not work, email instead - bugs get fixed faster than they get complained about. ### Support Questions about the Quora Email Scraper, feature requests, or need a custom build? Email **neurodata.apify@gmail.com**. Not affiliated with, endorsed by, or officially connected to Quora. Use collected data in line with applicable privacy and anti-spam law. # Actor input Schema ## `keywords` (type: `array`): Search terms describing the Quora accounts you want (niche, job title, industry). ## `location` (type: `string`): Optional location phrase added to every query (e.g. "New York"). ## `customDomains` (type: `array`): Only emails ending with one of these domains are collected. With or without the leading @. Each domain is searched separately, so more domains means more results but a longer run - remove some for a faster, narrower search, or add your own (e.g. @company.com). ## `maxEmails` (type: `integer`): Stop once this many unique emails have been collected. ## `countryCode` (type: `string`): Two-letter country code for the search proxy (e.g. US, GB, DE). Empty for any. ## `expandQueries` (type: `boolean`): Search each keyword x domain pair with several phrasings. Recommended - Google caps a single query at ~300 results. ## `queryModifiers` (type: `array`): Extra words combined with each keyword when Expand queries is on. Tuned for Quora. ## `maxPagesPerQuery` (type: `integer`): Google rarely returns more than ~30 pages for one query. ## `maxConcurrency` (type: `integer`): How many queries run in parallel. ## Actor input object example ```json { "keywords": [ "founder", "consultant" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "maxEmails": 20, "countryCode": "", "expandQueries": true, "queryModifiers": [ "email", "contact", "reach me", "consulting" ], "maxPagesPerQuery": 30, "maxConcurrency": 5 } ``` # Actor output Schema ## `results` (type: `string`): Records produced by Quora Email Scraper, stored in the run's default dataset. # 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 = { "keywords": [ "founder", "consultant" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "countryCode": "", "queryModifiers": [ "email", "contact", "reach me", "consulting" ] }; // Run the Actor and wait for it to finish const run = await client.actor("leads-scraper/quora-email-scraper").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 = { "keywords": [ "founder", "consultant", ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com", ], "countryCode": "", "queryModifiers": [ "email", "contact", "reach me", "consulting", ], } # Run the Actor and wait for it to finish run = client.actor("leads-scraper/quora-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "founder", "consultant" ], "location": "", "customDomains": [ "@gmail.com", "@yahoo.com" ], "countryCode": "", "queryModifiers": [ "email", "contact", "reach me", "consulting" ] }' | apify call leads-scraper/quora-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,leads-scraper/quora-email-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/Fzr4YRbgAUwbHR1GK/builds/SgqBUq1z0WD5BKUky/openapi.json