# IFA Berlin Exhibitor Data Scraper (`outspoken_strategy/ifa-berlin-data-scraper`) Actor Scrapes everything from each ifa-berlin.com exhibitor page: profile, contacts, products, events, all images and links, meta and JSON-LD. Downloads image files and raw HTML. Auto-reads URLs from ifa-berlin-links-scraper's last run. - **URL**: https://apify.com/outspoken\_strategy/ifa-berlin-data-scraper.md - **Developed by:** [code craker](https://apify.com/outspoken_strategy) (community) - **Categories:** Agents, News, Social media - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 1,000 results 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## IFA Berlin Exhibitor Data Scraper **Stage 2** of the IFA pipeline. Takes the exhibitor URLs collected by [`ifa-berlin-links-scraper`](../ifa-berlin-links-scraper) and scrapes **everything** on each detail page. ### URL sources (in priority order) 1. `startUrls` — explicit list in the input. 2. `linksDatasetId` — a specific dataset from the links scraper. 3. **Automatic (default)** — the dataset of the *most recent successful run* of `outspoken_strategy/ifa-berlin-links-scraper`. This means you can run the links scraper, then run this actor with empty input, and it chains itself — ideal for schedules. ### What gets extracted per exhibitor | Group | Fields | | --- | --- | | Profile | `name`, `country`, `logoUrl`, `descriptionText`, `descriptionHtml` | | Show areas | name, page URL, chip colors | | Locations | show area, hall, stand (all booths) | | Links | exhibitor website & socials (typed: website/facebook/instagram/youtube/linkedin/tiktok/x) | | Team contacts | name, job role, email, phone, photo | | Products | name, full abstract, thumbnail + full-size image URLs + captions | | Events | sessions & past events: title, programme URL, category, date, locations, duration, abstract, language, logo | | Everything else | `allImages` (every image URL + alt), `allLinks` (internal/external), page meta (title, description, OG image, canonical, German URL), JSON-LD `structuredData` | ### Leave-nothing-behind options - `downloadImages` (**default: true**) — downloads every content image (logos, product photos, event logos) into the run's key-value store. Duplicates shared across pages are stored once. Each dataset item lists its `downloadedImages` as `{ url, key }` pairs. - `saveHtml` (**default: true**) — additionally stores each page's raw HTML under key `html__`, so even fields this scraper doesn't parse yet are preserved. Failed pages (after 5 retries through rotating proxies) are pushed as `{ url, failed: true, error }` so you can see and re-run exactly what's missing. ### Test run Set `maxResults: 20` for a cheap smoke test. ### Run locally ```bash cd ifa-berlin-data-scraper npm install apify run # needs `apify login` so it can read the links actor's dataset ```` ### Deploy ```bash apify push ``` # Actor input Schema ## `startUrls` (type: `array`): Add the exhibitor page URLs you want to scrape — click Add, or use Bulk edit to paste many at once (one per line). These always take priority. Leave empty only if you want the actor to automatically use all URLs from the links scraper's last run. ## `linksDatasetId` (type: `string`): ID of a dataset produced by ifa-berlin-links-scraper. Every item's `url` field is scraped. Takes priority over the automatic last-run lookup. ## `linksActor` (type: `string`): When no start URLs and no dataset ID are given, the dataset of this actor's most recent successful run is used automatically — so you can chain the two actors without copying IDs. ## `downloadImages` (type: `boolean`): Download every content image (logos, product photos, event logos) into the run's key-value store, not just record their URLs. True = leave nothing behind. ## `saveHtml` (type: `boolean`): Also store each page's full raw HTML in the key-value store, so nothing is ever lost even if the extraction misses a future field. ## `maxResults` (type: `integer`): Scrape at most this many exhibitor pages. 0 = no limit (scrape all). Useful for cheap test runs. ## `maxConcurrency` (type: `integer`): Maximum number of pages fetched in parallel. ## `proxyConfiguration` (type: `object`): Proxy settings. Defaults to Apify datacenter proxies with IP rotation. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.ifa-berlin.com/exhibitors/acer" } ], "linksActor": "outspoken_strategy/ifa-berlin-links-scraper", "downloadImages": true, "saveHtml": true, "maxResults": 0, "maxConcurrency": 10, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ { "url": "https://www.ifa-berlin.com/exhibitors/acer" } ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("outspoken_strategy/ifa-berlin-data-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 = { "startUrls": [{ "url": "https://www.ifa-berlin.com/exhibitors/acer" }], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("outspoken_strategy/ifa-berlin-data-scraper").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 '{ "startUrls": [ { "url": "https://www.ifa-berlin.com/exhibitors/acer" } ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call outspoken_strategy/ifa-berlin-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=outspoken_strategy/ifa-berlin-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IFA Berlin Exhibitor Data Scraper", "description": "Scrapes everything from each ifa-berlin.com exhibitor page: profile, contacts, products, events, all images and links, meta and JSON-LD. Downloads image files and raw HTML. Auto-reads URLs from ifa-berlin-links-scraper's last run.", "version": "0.1", "x-build-id": "EMvSfXsgAre7iONcJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/outspoken_strategy~ifa-berlin-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-outspoken_strategy-ifa-berlin-data-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/outspoken_strategy~ifa-berlin-data-scraper/runs": { "post": { "operationId": "runs-sync-outspoken_strategy-ifa-berlin-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/outspoken_strategy~ifa-berlin-data-scraper/run-sync": { "post": { "operationId": "run-sync-outspoken_strategy-ifa-berlin-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Exhibitor URLs", "type": "array", "description": "Add the exhibitor page URLs you want to scrape — click Add, or use Bulk edit to paste many at once (one per line). These always take priority. Leave empty only if you want the actor to automatically use all URLs from the links scraper's last run.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "linksDatasetId": { "title": "Links dataset ID", "type": "string", "description": "ID of a dataset produced by ifa-berlin-links-scraper. Every item's `url` field is scraped. Takes priority over the automatic last-run lookup." }, "linksActor": { "title": "Links actor", "type": "string", "description": "When no start URLs and no dataset ID are given, the dataset of this actor's most recent successful run is used automatically — so you can chain the two actors without copying IDs.", "default": "outspoken_strategy/ifa-berlin-links-scraper" }, "downloadImages": { "title": "Download image files", "type": "boolean", "description": "Download every content image (logos, product photos, event logos) into the run's key-value store, not just record their URLs. True = leave nothing behind.", "default": true }, "saveHtml": { "title": "Save raw HTML", "type": "boolean", "description": "Also store each page's full raw HTML in the key-value store, so nothing is ever lost even if the extraction misses a future field.", "default": true }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Scrape at most this many exhibitor pages. 0 = no limit (scrape all). Useful for cheap test runs.", "default": 0 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of pages fetched in parallel.", "default": 10 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Defaults to Apify datacenter proxies with IP rotation.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```