# Foundit India Job Scraper \[Just πŸ’°$0.72] (`blackfalcondata/foundit-in-scraper`) Actor Scrape foundit.in jobs across India by keyword and city. Every record carries the title and company, the location and the full job description. Experience range and skills come along when the listing shows them. Structured rows for a spreadsheet or pipeline. - **URL**: https://apify.com/blackfalcondata/foundit-in-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.72 / 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/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 ### What does Foundit India Job Scraper do? Foundit India Job Scraper extracts structured job data from [foundit.in](https://foundit.in) β€” including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, skill tags, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company profiles) where the source provides them. **New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor. ### Key features - **πŸ’° Structured salary:** structured `salaryMin`, `salaryMax` and `salaryCurrency` on every job. - **🏒 Employer details:** `company`, `companyUrl` and `industry` name the employer behind each job. - **πŸ’Ό Employment type and work mode:** `isRemote`, `employmentType` and `remote` as fields, so you can filter jobs without reading the text. - **πŸ“‡ Contact details:** `contactEmail` where the job publishes them. - **πŸ‘€ Owner and applicant:** `applicants` name who owns each job. - **πŸ‘€ Views and engagement:** `views` show how far each job reached and how people reacted. - **πŸ” Keyword search:** search foundit.in by keyword with the `query` input, in the place you name in `location`. - **πŸ”— Paste-mode:** paste foundit.in URLs into `startUrls` to scrape exactly the pages you picked in the browser. - **πŸ“‹ Detail enrichment:** two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration. - **♻️ Incremental mode:** recurring runs emit only NEW / UPDATED / REAPPEARED records β€” UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring. - **πŸ”” Notifications:** Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook β€” out of the box. Pair with incremental + `notifyOnlyChanges` for daily "new Foundit jobs" pings to your hiring channel. ### What data can you extract from foundit.in? Each result includes Core job fields (`key`, `dedupKey`, `id`, `jobId`, `kiwiJobId`, `site`, `title`, and `url`, and more), detail fields when enrichment is enabled (`locationDetails`, `roles`, `description`, `descriptionHtml`, and `detailsIncluded`), apply information (`applyUrl` and `externalApplyUrl`), and company metadata (`company`, `companyId`, `companyUrl`, and `companyLogoUrl`). In standard mode, all fields are always present β€” unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Detail enrichment is on by default and adds richer fields such as full descriptions and company profiles where the source provides them. ### Input The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** β€” Job search keywords as you would type them on the site, e.g. "python", "java developer", "sales manager". Required if no startUrls provided. Use a JSON array for multiple searches. - **`location`** β€” City or region in India, e.g. "Bangalore", "Mumbai", "Delhi / NCR". Leave empty to search all of India. Use a JSON array for multiple locations. - **`country`** β€” Which market to search. foundit.in covers India. (default: `"IN"`) - **`maxResults`** β€” Maximum total results (0 = unlimited). (default: `100`) - **`maxPages`** β€” Limit how many result pages are read per search (about 20 jobs per page). 0 = no page limit; Max Results still applies. (default: `0`) - **`startUrls`** β€” Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). (default: `[]`) - **`experienceMinYears`** β€” Minimum years of experience the job asks for. Leave empty for no lower bound. Jobs whose experience range overlaps your range are returned. Applied by the site, so the result count and cost stay low. If you set only one of from/to, the other end is open. - **`experienceMaxYears`** β€” Maximum years of experience. Leave empty for no upper bound. If From is larger than To the two are swapped. - **`salaryMin`** β€” Minimum annual salary in rupees, e.g. 800000 for 8 lakh. Leave empty for no lower bound. Note: the site's salary filter can drop postings that do not disclose a salary, so a salary filter may return far fewer jobs than the same search without it. - **`salaryMax`** β€” Maximum annual salary in rupees, e.g. 2000000 for 20 lakh. Leave empty for no upper bound. The same warning applies: postings with undisclosed salary may be dropped by the site. - **`employmentType`** β€” Only jobs of this type. Leave empty for all types. - **`postedWithinDays`** β€” Only jobs refreshed on the site within the last N days (applied by the site, which keys off foundit's refresh date, not the original posting date). Leave empty for no limit. A recency window never marks jobs as expired in incremental mode. - ...and 28 more parameters ### Input examples **Basic search** β€” Keyword-driven search scoped to a city with a tight radius. β†’ Full payload per result β€” all standard fields populated where the source provides them. ```json { "query": "python", "location": "Bangalore", "maxResults": 50 } ``` **Incremental tracking** β€” Only emit jobs that changed since the previous run with this `stateKey`. β†’ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well. ```json { "query": "python", "maxResults": 200, "incrementalMode": true, "stateKey": "python-tracker" } ``` **Compact filtered output** β€” Combine filters with compact mode for a lightweight AI-agent or MCP data source. β†’ Core fields only β€” ideal for piping into LLMs or downstream tools without token overhead. ```json { "query": "python", "employmentType": "permanent", "maxResults": 50, "compact": true } ``` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. ### Example job record ```json { "key": "foundit:IN:69512911", "dedupKey": "foundit:IN:69512911", "id": "69512911", "jobId": "69512911", "kiwiJobId": "155952839", "site": "foundit.in", "title": "Python Gen AI Senior Consultant", "url": "https://www.foundit.in/job/python-gen-ai-senior-consultant-infosys-limited-bengaluru-bangalore-69512911", "syndicated": false, "company": "Infosys Limited", "entityName": "Infosys Limited", "companyId": "639690", "companyUrl": "https://www.foundit.in/search/infosys-limited-639690-jobs-career", "companyLogoUrl": "https://media.monsterindia.com/logos/xinfosusltdx/jdlogo.gif", "companyAbout": "Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experien...", "employerType": "Company", "recruiterName": "Sonali Kherudkar", "location": "Bengaluru", "locationText": "Bengaluru", "locations": [ "Bengaluru / Bangalore" ], "cities": [ "Bengaluru / Bangalore" ], "states": [ "Karnataka" ], "countries": [ "India" ], "country": "India", "locationDetails": [ { "city": "Bengaluru / Bangalore", "state": "Karnataka", "country": "India", "latLon": "12.971599,77.594563" } ], "workFromHome": false, "isRemote": false, "remote": false, "experienceText": "5-9 Years", "experienceMin": 5, "experienceMax": 9, "experienceMinYears": 5, "experienceMaxYears": 9, "salaryHidden": true, "functions": [ "Others" ], "functionalArea": "Others", "functionalAreas": [ "Others" ], "roles": [ "Other Roles" ], "designations": [ "Other Roles" ], "employmentTypes": [ "Full time" ], "employmentType": "Full time", "jobTypes": [ "Permanent Job" ], "skills": [ "Python Gen AI Senior Consultant", "AI solutions", "LLMs" ], "postedAt": "2026-10-21T06:32:50.000Z", "createdAt": "2026-10-21T06:32:50.000Z", "updatedAt": "2026-10-21T06:32:50.000Z", "closesAt": "2026-12-19T18:30:00.000Z", "expiresAt": "2026-12-19T18:30:00.000Z", "postedText": "16 hours ago", "isActive": true, "applicants": 36, "applicantsCount": 36, "views": 64, "viewsCount": 64, "urgentlyHiring": false, "isUrgentlyHiring": false, "greatPlaceToWork": true, "description": "We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong Py...", "descriptionHtml": "

We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong...", "detailsIncluded": true, "query": "python", "searchQuery": "python", "searchLocation": "Bangalore", "sourceUrl": "https://www.foundit.in/srp/results?query=python&locations=Bangalore", "scrapedAt": "2026-10-21T22:58:56.589Z", "capturedAt": "2026-10-21T22:58:57.626Z", "listingId": "155952839", "portalUrl": "https://www.foundit.in/job/python-gen-ai-senior-consultant-infosys-limited-bengaluru-bangalore-69512911", "descriptionMarkdown": "We are looking for an experienced Python and Generative AI professional to develop and implement AI-driven solutions that address complex business challenges. The ideal candidate should have strong Py...", "source": "foundit.in", "contentQuality": "full", "detailFetched": true } ``` ### Incremental fields When incremental mode is on, each record also carries: - `changeType` β€” one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others. - `isRepost`, `repostOfId`, `repostDetectedAt` β€” populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output. ### How to scrape foundit.in 1. Go to [Foundit India Job Scraper](https://apify.com/blackfalcondata/foundit-in-scraper?fpr=1h3gvi) in Apify Console. 2. Enter a search keyword and optional location filter. 3. Set `maxResults` to control how many results you need. 4. Keep `includeDetails` on (the default) for full descriptions, company data, or turn it off for faster, cheaper runs. 5. Click **Start** and wait for the run to finish. 6. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from foundit.in for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed jobs on scheduled runs without processing the full dataset every time. - Auto-apply or feed apply URLs into your ATS / hiring pipeline. - Research company hiring patterns, employer profiles, and industry distribution. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. - Analyze skill demand across listings using structured skill tags. ### How much does it cost to scrape foundit.in? Foundit India Job Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.00045 per run - **Per result:** $0.00072 per job record Example costs: - 10 results: **$0.00765** - 25 results: **$0.018** - 100 results: **$0.072** - 200 results: **$0.14** - 500 results: **$0.36** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency β€” the scenarios below are examples, not predictions. Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% β€” stable niche query | $0.18 | $0.00945 | $0.17 (95%) | $0.28 | | 15% β€” moderate broad query | $0.18 | $0.03 | $0.15 (85%) | $0.82 | | 30% β€” high-volume aggregator | $0.18 | $0.05 | $0.13 (70%) | $1.63 | Full re-scrape monthly cost at the same cadence: $5.41. First month with incremental costs $0.45 / $0.98 / $1.76 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. Platform usage is included in the per-result fee shown above. ### FAQ #### How many results can I get from foundit.in? The number of results depends on the search query and available jobs on foundit.in. Use the `maxResults` parameter to control how many results are returned per run. #### Does Foundit India Job Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate Foundit India Job Scraper with other apps? Yes. Foundit India Job Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use Foundit India Job Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use Foundit India Job Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode, `descriptionMaxLength`, a single `descriptionFormat`, and `excludeEmptyFields` to keep payloads manageable for LLM context windows. #### Is it legal to scrape foundit.in? This actor extracts publicly available data from foundit.in. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/foundit-in-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Actiris Job Scraper \[Just πŸ’°$1.5\] β€” Brussels Public Jobs](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) β€” πŸ’° $1.5 per 1,000 jobs. Scrape actiris.brussels β€” the official Brussels public employment service. - [AMS Austria Job Scraper β€” Public Employment Service Jobs](https://apify.com/blackfalcondata/ams-austria-job-scraper?fpr=1h3gvi) β€” Scrape jobs.ams.at, Austria's official AMS public employment portal (alle jobs). Get live. - [APEC Job Scraper \[Just πŸ’°$0.8\] β€” French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) β€” πŸ’° $0.8 per 1,000 jobs, platform usage included. Scrape apec.fr French executive listings β€” every. - [Arbeitsagentur Job Scraper \[πŸ’°$0.45\] β€” German Federal Jobs](https://apify.com/blackfalcondata/arbeitsagentur-jobs-feed?fpr=1h3gvi) β€” πŸ’° from $0.45 per 1,000 jobs. Scrape arbeitsagentur.de β€” Germany's official public employment. - [ArbetsfΓΆrmedlingen Job Scraper \[Just πŸ’°$3\] β€” Sweden Public](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) β€” πŸ’° $3 per 1,000 jobs. Scrape arbetsformedlingen.se (Platsbanken) β€” Sweden's official employment. - [Bayt Job Scraper β€” MENA Jobs with Salary & Skills](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) β€” Scrape bayt.com β€” the leading Middle East job board across UAE Β· Saudi Arabia Β· Qatar Β· Egypt & 9. - [BestJobs.eu \[Just πŸ’°$1.5\] β€” Romania Job Board](https://apify.com/blackfalcondata/bestjobs-eu-scraper?fpr=1h3gvi) β€” πŸ’° $1.5 per 1,000 jobs. Scrape bestjobs.eu β€” a leading Romanian job board β€” export salary ranges Β·. - [Bumeran Scraper \[Just πŸ’°$1\] β€” LATAM Jobs (7 Countries)](https://apify.com/blackfalcondata/bumeran-scraper?fpr=1h3gvi) β€” πŸ’° $1 per 1,000 jobs. Scrape Bumeran Group across LATAM β€” Argentina Β· Chile Β· Ecuador Β· Mexico Β·. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) β€” no credit card required. 1. Sign up β€” $5 platform credit included 2. Open this actor and configure your input 3. Click **Start** β€” export results as JSON, CSV, or Excel Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi). ### Disclaimer This actor accesses only publicly available data on foundit.in. You are responsible for how you use the extracted data β€” in particular any personal information such as names, phone numbers, or email addresses β€” and for complying with Foundit India's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction. This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Foundit India or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. ### Search keywords foundit scraper, foundit api, apify foundit, foundit data extraction, foundit india scraper, foundit india api, apify foundit india, foundit india data extraction, foundit.in scraper, foundit.in data, foundit.in api, job listings scraper, recruitment data, hiring data, job board scraper. # Changelog This Actor's version history is a separate document: https://apify.com/blackfalcondata/foundit-in-scraper/changelog.md # Actor input Schema ## `query` (type: `string`): Job search keywords as you would type them on the site, e.g. "python", "java developer", "sales manager". Required if no startUrls provided. Use a JSON array for multiple searches. ## `location` (type: `string`): City or region in India, e.g. "Bangalore", "Mumbai", "Delhi / NCR". Leave empty to search all of India. Use a JSON array for multiple locations. ## `country` (type: `string`): Which market to search. foundit.in covers India. ## `maxResults` (type: `integer`): Maximum total results (0 = unlimited). ## `maxPages` (type: `integer`): Limit how many result pages are read per search (about 20 jobs per page). 0 = no page limit; Max Results still applies. ## `startUrls` (type: `array`): Paste raw search URLs from the target site. Each URL becomes its own search task; results are merged and deduped by job ID across all URLs. When provided, startUrls REPLACE the query/location fields (each supported URL becomes one task; unsupported URLs are skipped, and if none is supported the run stops with an input error). ## `experienceMinYears` (type: `integer`): Minimum years of experience the job asks for. Leave empty for no lower bound. Jobs whose experience range overlaps your range are returned. Applied by the site, so the result count and cost stay low. If you set only one of from/to, the other end is open. ## `experienceMaxYears` (type: `integer`): Maximum years of experience. Leave empty for no upper bound. If From is larger than To the two are swapped. ## `salaryMin` (type: `integer`): Minimum annual salary in rupees, e.g. 800000 for 8 lakh. Leave empty for no lower bound. Note: the site's salary filter can drop postings that do not disclose a salary, so a salary filter may return far fewer jobs than the same search without it. ## `salaryMax` (type: `integer`): Maximum annual salary in rupees, e.g. 2000000 for 20 lakh. Leave empty for no upper bound. The same warning applies: postings with undisclosed salary may be dropped by the site. ## `employmentType` (type: `string`): Only jobs of this type. Leave empty for all types. ## `postedWithinDays` (type: `integer`): Only jobs refreshed on the site within the last N days (applied by the site, which keys off foundit's refresh date, not the original posting date). Leave empty for no limit. A recency window never marks jobs as expired in incremental mode. ## `postedWithinHours` (type: `integer`): Keep only jobs whose posting time is within the last N hours (checked by the scraper on each result; jobs without a posting time are dropped). Filtered-out jobs are not fetched in detail and not billed. 0 or empty = off. ## `excludeSyndicated` (type: `boolean`): Skip listings that send the applicant to an external site (syndicated postings with an external apply link). Skipped listings are not fetched in detail and not billed. ## `includeDetails` (type: `boolean`): Fetch full job details. ## `includeCompanyProfile` (type: `boolean`): Add the employer's profile text and industries to each job. Needs Include Full Details. Turn off for smaller records. ## `enrichEmails` (type: `boolean`): Finds the employer's own website from links in the job description, reads its home, contact and about pages (at most 3 pages per website), and adds contactEmail and contactWebsite to each job. Best effort: not every employer has a findable website or a public email. Free (no extra charge) but makes runs slower. Needs Include Full Details, because the website links come from the job description. ## `hiringMarketAnalysis` (type: `boolean`): Adds one summary row per role and region found in this run's results: posting count, salary band in LPA (min, median, max over postings that show a salary), top 5 employers, employment-type mix and remote share. Computed from the scraped postings, no AI. Summary rows have recordType "marketSnapshot"; job rows are unchanged. Each summary row is a dataset item and is billed like one. ## `descriptionMaxLength` (type: `integer`): Truncate description to N chars. 0 = no truncation. ## `compact` (type: `boolean`): Core fields only (for AI-agent/MCP workflows). ## `descriptionFormat` (type: `string`): Which description representations to emit. `all` keeps description + descriptionHtml + descriptionMarkdown (default, back-compat). `text` / `html` / `markdown` keep only one variant β€” typically halves output size. ## `excludeEmptyFields` (type: `boolean`): Drop null / empty-string / empty-array fields (and fully-null nested objects like socialProfiles) from each output record. Off by default to preserve dataset schema compatibility; turn on to slim output for LLM / agent consumption. ## `incrementalMode` (type: `boolean`): Compare against previous run state. stateKey is optional β€” defaults to a value derived from search inputs (queries, locations, startUrls, country) so different filter sets never share state. ## `stateKey` (type: `string`): Optional. Stable identifier for the tracked search universe. Leave empty to auto-generate from search inputs. ## `emitUnchanged` (type: `boolean`): Also emit jobs that have not changed since the last run (incrementalMode only). ## `emitExpired` (type: `boolean`): Also emit jobs that have disappeared since the last run (incrementalMode only). ## `skipReposts` (type: `boolean`): When incremental, skip jobs whose content matches an expired job from a prior run (cross-run repost detection). ## `notifyOnlyChanges` (type: `boolean`): When Incremental Mode is on, only send notifications for NEW and UPDATED jobs. Has no effect outside incremental mode. ## `notificationLimit` (type: `integer`): Maximum number of jobs included in each notification message (1–20). ## `telegramToken` (type: `string`): Telegram bot token (from @BotFather). Required for Telegram notifications. ## `telegramChatId` (type: `string`): Telegram chat or channel ID (e.g. "-100123456789"). Required when telegramToken is set. ## `discordWebhookUrl` (type: `string`): Discord incoming webhook URL. Server Settings β†’ Integrations β†’ Webhooks β†’ New Webhook. ## `slackWebhookUrl` (type: `string`): Slack incoming webhook URL. api.slack.com/messaging/webhooks. ## `whatsappPhoneNumberId` (type: `string`): Your WhatsApp Business phone-number ID (numeric, from Meta dashboard). Required when whatsappAccessToken is set. ## `whatsappAccessToken` (type: `string`): WhatsApp Cloud API permanent access token (System User token from Meta Business). Recipient must have messaged the business number within the last 24h (service-conversation window β€” free since Nov 2024). ## `whatsappTo` (type: `string`): Recipient phone in E.164 format without + (e.g. "436641234567"). Recipient must have messaged your business number within last 24h. ## `webhookUrl` (type: `string`): Receives a JSON POST with {metadata, items} after each run. Universal escape hatch for n8n / Make / Zapier / custom backends. ## `webhookHeaders` (type: `object`): Optional JSON object of custom headers (e.g. {"Authorization":"Bearer ..."}). ## `appConnector` (type: `string`): Optional. Pick a connected app under Settings β†’ API & Integrations to receive your results (including any contact details). Best-effort across MCP connectors as Apify expands its catalog. ## `mcpIssueTeam` (type: `string`): Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one. ## Actor input object example ```json { "query": "python", "location": "Bangalore", "country": "IN", "maxResults": 100, "maxPages": 0, "startUrls": [], "excludeSyndicated": false, "includeDetails": true, "includeCompanyProfile": true, "enrichEmails": false, "hiringMarketAnalysis": false, "descriptionMaxLength": 0, "compact": false, "descriptionFormat": "all", "excludeEmptyFields": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false, "skipReposts": false, "notifyOnlyChanges": false, "notificationLimit": 5 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "query": "python", "location": "Bangalore", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/foundit-in-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 = { "query": "python", "location": "Bangalore", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/foundit-in-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 '{ "query": "python", "location": "Bangalore", "maxResults": 100 }' | apify call blackfalcondata/foundit-in-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,blackfalcondata/foundit-in-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/1YL6drzXVQoxJlL68/builds/IJid5ie8H6KVRGCkq/openapi.json